Google Cuts Jobs in Cloud Division Google is reducing its workforce in the Google Cloud business following revenue…

Google Lays Off Staff in Cloud Department Amid Revenue Miss - PUNE.NEWS

The company also partners with cloud service providers, including Amazon Web Services, Google Cloud, and Azure, to give customers access to advanced GPU resources, and is a member of the Nvidia Connect program.

UTokyo IPC invests in GPU cloud company Ubitus - DCD

Google Cloud has reportedly fired some staff from its unit.

Alphabet’s Google cuts some cloud division staff: Report - The Hindu

Using Google Cloud's Vertex AI and BigQuery, Amdocs will launch its new Network AIOps solution.

Amdocs, Google Cloud team up to optimise 5G network operations using AI - ET Telecom

Glance will leverage Google Cloud's Gemini intelligence capabilities and Imagen's state-of-the-art image generation capabilities via Vertex AI to power Glance's next-gen experiences. One of the first experiences is an immersive, gen AI-enabled commerce feature for the lock screen.

Glance, Google Cloud Partner to Bring Generative AI to Smartphone Lock Screens

Amdocs, a leading provider of software and services to communications and media companies, and Google Cloud announced a major initiative to transform how telecommunications companies operate, maintain, and optimize critical 5G network ecosystems with AI.

Amdocs, Google Cloud Partner to Advance AI-Driven 5G Network Operations

Google Cloud

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Google Cloud x Gemini: Accomplish More in the Cloud with Generative AI

Generative AI is a type of machine learning and artificial intelligence (AI) that is garnering a lot of attention right now, and we want to help keep you a step ahead by sharing the latest training available from Google Cloud. In this blog, we have compiled resources to help you learn about generative AI, how it can impact your business, and how to use it. New Google Cloud customers from HackerNoon receive $300 plus an additional $50 in free credits to test, deploy, and explore Google Cloud for 90 days. Get started using the link here. We have brand-new generative AI training options, and are constantly adding to our training catalog on Google Cloud Skills Boost. This includes two learning paths that each feature comprehensive content: one is for the non-technical audience (introductory) ‘Introduction to Generative AI learning path’, and the other is for technical practitioners (more advanced) ‘Generative AI for Developers learning path’. Prefer less of a time commitment? Opt for individual courses and labs with the topics that suit your specific interest. Powered by Google Cloud technology, generative AI is reimagining the way that organizations do business by leveraging data. The use cases are far-ranging, from having smarter conversations with and creating rich experiences for customers, to enhancing business processes, to helping developers write code, and more. Google Cloud has been working for decades to bring AI technology solutions to organizations, and our tools make it easier to build experiences across our cloud portfolio. Whether you’re executive-level, an IT decision maker, in a non-technical role, or a technical practitioner, we have videos, courses and labs to help you learn about the power of generative AI. Plus, labs give you direct access to Generative AI Studio and Vertex AI (Google Cloud’s machine learning platform) to get hands-on, technical experience. Get started with our training list below. No-cost foundational courses: no technical experience needed Don’t have a lot of time but want to learn the basics? Our no-cost Introduction to Generative AI course is a great place to start. It takes about 45 minutes to finish. If getting started has you hungry to learn more, continue your no-cost learning to earn the Generative AI Fundamentals skill badge. It includes the course above, plus two other courses: ‘Introduction to Large Language Models’ and ‘Introduction to Responsible AI’. In total, this takes about two hours to complete and you’ll earn a digital skill badge to share on your resume and social channels to validate your foundational understanding of Google Cloud generative AI technology. Dig in deeper with our generative AI learning paths For a more comprehensive learning experience, choose from our two new gen AI learning paths — a mix of courses, labs and skill badges. Please note: we plan to add new trainings to this list, so keep checking back for more. Introduction to Generative AI - this path includes no-cost video courses. Content is non-technical, introductory, and designed for the tech-adjacent audience: roles like sales, HR, marketing and operations. Here is a look at the content: Introduction to Generative AI - course
Introduction to Large Language Models - course
Introduction to Responsible AI - course
Generative AI Fundamentals - earn a skill badge
Responsible AI: Applying AI Principals with Google Cloud - course Generative AI for Developers - this path includes a combination of technical hands-on labs and courses and requires Google Cloud credits to complete. It is designed for technical developers who work with gen AI, and includes the introductory training as a prerequisite. Content includes: Responsible AI for Developers - course
Introduction to Image Generation - course
Attention Mechanism - course
Encoder-Decoder Architecture - course
Transformer Models and BERT Model - course
Create Image Captioning Models - course
Introduction to Generative AI Studio - course
Generative AI Explorer: Vertex AI - earn a skill badge
Explore and Evaluate Models Using Model Garden - lab
Prompt Design Using PaLM - lab Gain technical experience with labs We currently offer these generative AI labs for anyone looking to get some hands-on experience by working directly in Google Cloud: Get Started with Generative AI Studio (requires one credit) - introductory, 60 minutes
Generative AI with Vertex AI: Getting Started (requires one credit) - introductory, 90 minutes
Generative AI with Vertex AI: Prompt Design (requires one credit) - introductory, 90 minutes
Vertex AI PaLM API: Qwik Start (requires one credit) - introductory, 60 minutes
Integrate Search in Applications Using Gen AI App Builder (requires five credits) - introductory, 90 minutes
Prompt Design using PaLM (requires one credit)  - intermediate, 90 minutes
Explore and Evaluate Models using Model Garden (requires five credits) - intermediate, 60 minutes Text embeddings with DeepLearning.AI and Andrew Ng We have brand new content built in collaboration with DeepLearning.AI, taught by Andrew Ng, founder of DeepLearning.AI and a globally recognized leader on the topic. Enroll for no-cost in “Understanding and Applying Text Embeddings with Vertex AI” to learn various tasks like classification, outlier detection, text clustering, and semantic search. You’ll also learn to integrate them into LLM applications. Check out the video below to hear about these exciting opportunities found within text embeddings and generative AI. https://youtu.be/9SYpG_tFT38?si=BqFxnCisV2z5Xs2h&embedable=true New for technical practitioners: Intro to AI and ML Learn the big picture of how Google supports the data-to-AI journey and how generative AI is embedded in the AI development platform in our new course, Introduction to AI and Machine Learning on Google Cloud, designed mainly for technical practitioners — AI developers, data scientists, and ML engineers. The course covers the technologies, products and tools used to build an ML model, an ML pipeline, and a gen AI project based on the goals of data and AI practitioners. Made up of four primary modules that include labs and quizzes, this introductory course takes about six hours to complete and requires 12 credits. Stay on the cloud fast track with Innovators Plus Generative AI is  constantly evolving, and we’re developing new training materials to help you keep your career knowledge and skills up to date. An Innovators Plus subscription gives you access not only to generative AI content, but the full Google Cloud Skills Boost catalog of on-demand training for a whole year. You get $1,500 in developer benefits for only $299, including up to $1,000 in Google Cloud credits. Considering getting certified? You’ll also get an exam voucher, plus special access to Google Cloud experts and execs, live learning events, and more to round out your knowledge. Check out the details and sign up here. New Google Cloud customers from HackerNoon receive $300 plus an additional $50 in free credits to test, deploy, and explore Google Cloud for 90 days. Get started using the link here. Originally published here. Contributed by: Google Cloud Generative AI is a type of machine learning and artificial intelligence (AI) that is garnering a lot of attention right now, and we want to help keep you a step ahead by sharing the latest training available from Google Cloud. In this blog, we have compiled resources to help you learn about generative AI, how it can impact your business, and how to use it. New Google Cloud customers from HackerNoon receive $300 plus an additional $50 in free credits to test, deploy, and explore Google Cloud for 90 days. Get started using the link here. New Google Cloud customers from HackerNoon receive $300 plus an additional $50 in free credits to test, deploy, and explore Google Cloud for 90 days. Get started using the link here. New Google Cloud customers from HackerNoon receive $300 plus an additional $50 in free credits to test, deploy, and explore Google Cloud for 90 days. Get started using the link here . here We have brand-new generative AI training options, and are constantly adding to our training catalog on Google Cloud Skills Boost . This includes two learning paths that each feature comprehensive content: one is for the non-technical audience (introductory) ‘ Introduction to Generative AI learning path ’, and the other is for technical practitioners (more advanced) ‘ Generative AI for Developers learning path ’. Prefer less of a time commitment? Opt for individual courses and labs with the topics that suit your specific interest. brand-new generative AI training options, and are constantly adding to our training catalog on Google Cloud Skills Boost Introduction to Generative AI learning path Introduction to Generative AI learning path Generative AI for Developers learning path Generative AI for Developers learning path Powered by Google Cloud technology, generative AI is reimagining the way that organizations do business by leveraging data. The use cases are far-ranging , from having smarter conversations with and creating rich experiences for customers, to enhancing business processes, to helping developers write code, and more. use cases are far-ranging use cases are far-ranging Google Cloud has been working for decades to bring AI technology solutions to organizations, and our tools make it easier to build experiences across our cloud portfolio. Whether you’re executive-level, an IT decision maker, in a non-technical role, or a technical practitioner, we have videos, courses and labs to help you learn about the power of generative AI . Plus, labs give you direct access to Generative AI Studio and Vertex AI (Google Cloud’s machine learning platform) to get hands-on, technical experience. Get started with our training list below. Whether you’re executive-level, an IT decision maker, in a non-technical role, or a technical practitioner, we have videos, courses and labs to help you learn about the power of generative AI No-cost foundational courses: no technical experience needed Don’t have a lot of time but want to learn the basics? Our no-cost Introduction to Generative AI course is a great place to start. It takes about 45 minutes to finish. Our no-cost Introduction to Generative AI course is a great place to start. It takes about 45 minutes to finish. Introduction to Generative AI Introduction to Generative AI If getting started has you hungry to learn more, continue your no-cost learning to earn the Generative AI Fundamentals skill badge . It includes the course above, plus two other courses: ‘Introduction to Large Language Models’ and ‘Introduction to Responsible AI’. In total, this takes about two hours to complete and you’ll earn a digital skill badge to share on your resume and social channels to validate your foundational understanding of Google Cloud generative AI technology. continue your no-cost learning Generative AI Fundamentals skill badge Generative AI Fundamentals skill badge two hours to complete Dig in deeper with our generative AI learning paths For a more comprehensive learning experience, choose from our two new gen AI learning paths — a mix of courses, labs and skill badges. Please note: we plan to add new trainings to this list, so keep checking back for more. Introduction to Generative AI - this path includes no-cost video courses . Content is non-technical, introductory, and designed for the tech-adjacent audience: roles like sales, HR, marketing and operations. Here is a look at the content: Introduction to Generative AI Introduction to Generative AI Introduction to Generative AI this path includes no-cost video courses Introduction to Generative AI - course Introduction to Large Language Models - course Introduction to Responsible AI - course Generative AI Fundamentals - earn a skill badge Responsible AI: Applying AI Principals with Google Cloud - course Introduction to Generative AI - course Introduction to Large Language Models - course Introduction to Responsible AI - course Generative AI Fundamentals - earn a skill badge Responsible AI: Applying AI Principals with Google Cloud - course Generative AI for Developers - this path includes a combination of technical hands-on labs and courses and requires Google Cloud credits to complete. It is designed for technical developers who work with gen AI, and includes the introductory training as a prerequisite. Content includes: Generative AI for Developers Generative AI for Developers Generative AI for Developers Responsible AI for Developers - course Introduction to Image Generation - course Attention Mechanism - course Encoder-Decoder Architecture - course Transformer Models and BERT Model - course Create Image Captioning Models - course Introduction to Generative AI Studio - course Generative AI Explorer: Vertex AI - earn a skill badge Explore and Evaluate Models Using Model Garden - lab Prompt Design Using PaLM - lab Responsible AI for Developers - course Introduction to Image Generation - course Attention Mechanism - course Encoder-Decoder Architecture - course Transformer Models and BERT Model - course Create Image Captioning Models - course Introduction to Generative AI Studio - course Generative AI Explorer: Vertex AI - earn a skill badge Explore and Evaluate Models Using Model Garden - lab Prompt Design Using PaLM - lab Gain technical experience with labs We currently offer these generative AI labs for anyone looking to get some hands-on experience by working directly in Google Cloud: Get Started with Generative AI Studio (requires one credit) - introductory, 60 minutes Generative AI with Vertex AI: Getting Started (requires one credit) - introductory, 90 minutes Generative AI with Vertex AI: Prompt Design (requires one credit) - introductory, 90 minutes Vertex AI PaLM API: Qwik Start (requires one credit) - introductory, 60 minutes Integrate Search in Applications Using Gen AI App Builder (requires five credits) - introductory, 90 minutes Prompt Design using PaLM (requires one credit)  - intermediate, 90 minutes Explore and Evaluate Models using Model Garden (requires five credits) - intermediate, 60 minutes Get Started with Generative AI Studio (requires one credit) - introductory, 60 minutes Get Started with Generative AI Studio Get Started with Generative AI Studio Generative AI with Vertex AI: Getting Started (requires one credit) - introductory, 90 minutes Generative AI with Vertex AI: Getting Started Generative AI with Vertex AI: Getting Started Generative AI with Vertex AI: Prompt Design (requires one credit) - introductory, 90 minutes Generative AI with Vertex AI: Prompt Design Generative AI with Vertex AI: Prompt Design Vertex AI PaLM API: Qwik Start (requires one credit) - introductory, 60 minutes Vertex AI PaLM API: Qwik Start Vertex AI PaLM API: Qwik Start Integrate Search in Applications Using Gen AI App Builder (requires five credits) - introductory, 90 minutes Integrate Search in Applications Using Gen AI App Builder Integrate Search in Applications Using Gen AI App Builder Prompt Design using PaLM (requires one credit)  - intermediate, 90 minutes Prompt Design using PaLM Prompt Design using PaLM Explore and Evaluate Models using Model Garden (requires five credits) - intermediate, 60 minutes Explore and Evaluate Models using Model Garden Explore and Evaluate Models using Model Garden Text embeddings with DeepLearning.AI and Andrew Ng We have brand new content built in collaboration with DeepLearning.AI , taught by Andrew Ng, founder of DeepLearning.AI and a globally recognized leader on the topic. Enroll for no-cost in “Understanding and Applying Text Embeddings with Vertex AI” to learn various tasks like classification, outlier detection, text clustering, and semantic search. You’ll also learn to integrate them into LLM applications. Check out the video below to hear about these exciting opportunities found within text embeddings and generative AI. DeepLearning.AI DeepLearning.AI DeepLearning.AI DeepLearning.AI Enroll for no-cost in “Understanding and Applying Text Embeddings with Vertex AI” “Understanding and Applying Text Embeddings with Vertex AI” “Understanding and Applying Text Embeddings with Vertex AI” https://youtu.be/9SYpG_tFT38?si=BqFxnCisV2z5Xs2h&embedable=true https://youtu.be/9SYpG_tFT38?si=BqFxnCisV2z5Xs2h&embedable=true New for technical practitioners: Intro to AI and ML Learn the big picture of how Google supports the data-to-AI journey and how generative AI is embedded in the AI development platform in our new course, Introduction to AI and Machine Learning on Google Cloud , designed mainly for technical practitioners — AI developers, data scientists, and ML engineers. The course covers the technologies, products and tools used to build an ML model, an ML pipeline, and a gen AI project based on the goals of data and AI practitioners. Made up of four primary modules that include labs and quizzes, this introductory course takes about six hours to complete and requires 12 credits. Introduction to AI and Machine Learning on Google Cloud Introduction to AI and Machine Learning on Google Cloud this introductory course takes about six hours to complete and requires 12 credits. Stay on the cloud fast track with Innovators Plus Generative AI is  constantly evolving, and we’re developing new training materials to help you keep your career knowledge and skills up to date. An Innovators Plus subscription gives you access not only to generative AI content, but the full Google Cloud Skills Boost catalog of on-demand training for a whole year. You get $1,500 in developer benefits for only $299, including up to $1,000 in Google Cloud credits. Considering getting certified? You’ll also get an exam voucher, plus special access to Google Cloud experts and execs, live learning events, and more to round out your knowledge. Check out the details and sign up here . sign up here sign up here New Google Cloud customers from HackerNoon receive $300 plus an additional $50 in free credits to test, deploy, and explore Google Cloud for 90 days. Get started using the link here. New Google Cloud customers from HackerNoon receive $300 plus an additional $50 in free credits to test, deploy, and explore Google Cloud for 90 days. Get started using the link here. New Google Cloud customers from HackerNoon receive $300 plus an additional $50 in free credits to test, deploy, and explore Google Cloud for 90 days. Get started using the link here . here Originally published here . here Contributed by: Google Cloud

Learn Generative AI with Google Cloud: New Courses from Introductory to Advanced Level

Meet New & Improved BigQuery: Single, Unified AI-Ready Data Platform

For decades, threat intelligence solutions have had two main challenges: They lack a comprehensive view of the threat landscape, and to get value from intelligence, organizations have to spend excess time, energy, and money trying to collect and operationalize the data. New Google Cloud customers from HackerNoon receive $300 plus an additional $50 in free credits to test, deploy, and explore Google Cloud for 90 days. Get started using the link here. Recently, at the RSA Conference in San Francisco, we announced Google Threat Intelligence, a new offering that combines the unmatched depth of our Mandiant frontline expertise, the global reach of the VirusTotal community, and the breadth of visibility only Google can deliver based on billions of signals across devices and emails. Google Threat Intelligence includes Gemini in Threat Intelligence, our AI-powered agent that provides conversational search across our vast repository of threat intelligence, enabling customers to gain insights and protect themselves from threats faster than ever before. “While there is no shortage of threat intelligence available, the challenge for most is to contextualize and operationalize intelligence relevant to their specific organization,” said Dave Gruber, principal analyst, Enterprise Strategy Group. “Unarguably, Google provides two of the most important pillars of threat intelligence in the industry today with VirusTotal and Mandiant. Integrating both into a single offering, enhanced with AI and Google threat insights, offers security teams a new means to operationalize actionable threat intelligence to better protect their organizations.” Unmatched visibility into threats Google Threat Intelligence provides unparalleled visibility into the global threat landscape. We offer deep insights from Mandiant’s leading incident response and threat research team, and combine them with our massive user and device footprint and VirusTotal’s broad crowdsourced malware database. Google threat insights: Google protects 4 billion devices and 1.5 billion email accounts, and blocks 100 million phishing attempts per day. This provides us with a vast sensor array and a unique perspective on internet and email-borne threats that allow us to connect the dots back to attack campaigns.
Frontline intelligence: Mandiant's eIite incident responders, security consultants, and frontline intelligence operations analysts dissect attacker tactics and techniques, using their experience to help customers defend against sophisticated and relentless threat actors across the globe in over 1,100 investigations annually, resulting in a corpus of over 15 years of frontline intelligence.
Human-curated threat intelligence: Mandiant’s global threat experts meticulously monitor threat actor groups for activity and changes in their behavior to contextualize ongoing investigations and provide the insights you need to respond.
Crowdsourced threat intelligence: VirusTotal's global community of over 1 million users continuously contributes potential threat indicators, including files and URLs, to offer real-time insight into emerging attacks.
Open-source threat intelligence: We use open-source threat intelligence to enrich our knowledge base with current discoveries from the security community. This comprehensive view allows Google Threat Intelligence to help protect your organization in a variety of ways, including external threat monitoring, attack surface management, digital risk protection, Indicators of Compromise (IOC) analysis, and expertise. AI-driven operationalization Traditional approaches to operationalizing threat intelligence are labor-intensive and can slow down your ability to respond to evolving threats, potentially taking days or weeks to respond. https://youtu.be/QGUri8v4THc?embedable=true By combining our comprehensive view of the threat landscape with Gemini, we have supercharged the threat research processes, augmented defense capabilities, and reduced the time it takes to identify and protect against novel threats. Customers now have the ability to condense large data sets in seconds, quickly analyze suspicious files, and simplify challenging manual threat intelligence tasks. How Gemini helps simplify and assist with threat intelligence Gemini 1.5 Pro is a valuable part of Google Threat Intelligence, and we’ve integrated it so that it can more efficiently and effectively assist security professionals in combating malware. Gemini 1.5 Pro offers the world’s longest context window, with support for up to 1 million tokens. It can dramatically simplify the technical and labor-intensive process of reverse engineering malware — one of the most advanced malware-analysis techniques available to cybersecurity professionals. In fact, it was able to process the entire decompiled code of the malware file for WannaCry in a single pass, taking 34 seconds to deliver its analysis and identify the killswitch. We also offer a Gemini-driven entity extraction tool to automate data fusion and enrichment. It can automatically crawl the web for relevant open source intelligence (OSINT), and classify online industry threat reporting. It then converts this information to knowledge collections, with corresponding hunting and response packs pulled from motivations, targets, tactics, techniques, and procedures (TTPs), actors, toolkits, and Indicators of Compromise (IoCs). Google Threat Intelligence can distill more than a decade of threat reports to produce comprehensive, custom summaries in seconds. Make Google part of your security team Google Threat Intelligence is just one way we can help you in your threat intelligence journey. Whether you need cyber threat intelligence training for your staff, assistance with prioritizing complex threats, or even a dedicated threat analyst embedded in your team, our experts can act as an extension of your own team. Google Threat Intelligence is part of Google Cloud Security’s comprehensive security portfolio, which includes Google Security Operations, Mandiant Consulting, Security Command Center Enterprise, and Chrome Enterprise. With our offerings, organizations can address security challenges with the same capabilities Google uses to keep more people and organizations safe online than anyone else in the world. To learn more about Google Threat Intelligence and the rest of Google Cloud Security’s comprehensive portfolio, come meet us in person at our RSA Conference booth (N5644), and catch us at our keynotes, presentations, and meetups. You can also register for our upcoming Google Threat Intelligence use-cases webinar series, and read our expert analysis and in-depth research at the Google Cloud Threat Intelligence blog. New Google Cloud customers from HackerNoon receive $300 plus an additional $50 in free credits to test, deploy, and explore Google Cloud for 90 days. Get started using the link here. Originally published here. Contributed by: Google Cloud For decades, threat intelligence solutions have had two main challenges: They lack a comprehensive view of the threat landscape, and to get value from intelligence, organizations have to spend excess time, energy, and money trying to collect and operationalize the data. New Google Cloud customers from HackerNoon receive $300 plus an additional $50 in free credits to test, deploy, and explore Google Cloud for 90 days. Get started using the link here. New Google Cloud customers from HackerNoon receive $300 plus an additional $50 in free credits to test, deploy, and explore Google Cloud for 90 days. Get started using the link here. New Google Cloud customers from HackerNoon receive $300 plus an additional $50 in free credits to test, deploy, and explore Google Cloud for 90 days. Get started using the link here . here Recently, at the RSA Conference in San Francisco, we announced Google Threat Intelligence, a new offering that combines the unmatched depth of our Mandiant frontline expertise, the global reach of the VirusTotal community, and the breadth of visibility only Google can deliver based on billions of signals across devices and emails. Google Threat Intelligence includes Gemini in Threat Intelligence, our AI-powered agent that provides conversational search across our vast repository of threat intelligence, enabling customers to gain insights and protect themselves from threats faster than ever before. “While there is no shortage of threat intelligence available, the challenge for most is to contextualize and operationalize intelligence relevant to their specific organization,” said Dave Gruber, principal analyst, Enterprise Strategy Group. “Unarguably, Google provides two of the most important pillars of threat intelligence in the industry today with VirusTotal and Mandiant. Integrating both into a single offering, enhanced with AI and Google threat insights, offers security teams a new means to operationalize actionable threat intelligence to better protect their organizations.” “While there is no shortage of threat intelligence available, the challenge for most is to contextualize and operationalize intelligence relevant to their specific organization,” said Dave Gruber, principal analyst, Enterprise Strategy Group. “Unarguably, Google provides two of the most important pillars of threat intelligence in the industry today with VirusTotal and Mandiant. Integrating both into a single offering, enhanced with AI and Google threat insights, offers security teams a new means to operationalize actionable threat intelligence to better protect their organizations.” Unmatched visibility into threats Google Threat Intelligence provides unparalleled visibility into the global threat landscape. We offer deep insights from Mandiant’s leading incident response and threat research team, and combine them with our massive user and device footprint and VirusTotal’s broad crowdsourced malware database. Google threat insights: Google protects 4 billion devices and 1.5 billion email accounts, and blocks 100 million phishing attempts per day. This provides us with a vast sensor array and a unique perspective on internet and email-borne threats that allow us to connect the dots back to attack campaigns. Frontline intelligence: Mandiant's eIite incident responders, security consultants, and frontline intelligence operations analysts dissect attacker tactics and techniques, using their experience to help customers defend against sophisticated and relentless threat actors across the globe in over 1,100 investigations annually, resulting in a corpus of over 15 years of frontline intelligence. Human-curated threat intelligence: Mandiant’s global threat experts meticulously monitor threat actor groups for activity and changes in their behavior to contextualize ongoing investigations and provide the insights you need to respond. Crowdsourced threat intelligence: VirusTotal's global community of over 1 million users continuously contributes potential threat indicators, including files and URLs, to offer real-time insight into emerging attacks. Open-source threat intelligence: We use open-source threat intelligence to enrich our knowledge base with current discoveries from the security community. Google threat insights: Google protects 4 billion devices and 1.5 billion email accounts, and blocks 100 million phishing attempts per day. This provides us with a vast sensor array and a unique perspective on internet and email-borne threats that allow us to connect the dots back to attack campaigns. Google threat insights: Frontline intelligence: Mandiant's eIite incident responders, security consultants, and frontline intelligence operations analysts dissect attacker tactics and techniques, using their experience to help customers defend against sophisticated and relentless threat actors across the globe in over 1,100 investigations annually, resulting in a corpus of over 15 years of frontline intelligence. Frontline intelligence: Human-curated threat intelligence: Mandiant’s global threat experts meticulously monitor threat actor groups for activity and changes in their behavior to contextualize ongoing investigations and provide the insights you need to respond. Human-curated threat intelligence: Crowdsourced threat intelligence: VirusTotal's global community of over 1 million users continuously contributes potential threat indicators, including files and URLs, to offer real-time insight into emerging attacks. Crowdsourced threat intelligence: Open-source threat intelligence : We use open-source threat intelligence to enrich our knowledge base with current discoveries from the security community. Open-source threat intelligence This comprehensive view allows Google Threat Intelligence to help protect your organization in a variety of ways, including external threat monitoring, attack surface management, digital risk protection, Indicators of Compromise (IOC) analysis, and expertise. AI-driven operationalization Traditional approaches to operationalizing threat intelligence are labor-intensive and can slow down your ability to respond to evolving threats, potentially taking days or weeks to respond. https://youtu.be/QGUri8v4THc?embedable=true https://youtu.be/QGUri8v4THc?embedable=true By combining our comprehensive view of the threat landscape with Gemini, we have supercharged the threat research processes, augmented defense capabilities, and reduced the time it takes to identify and protect against novel threats. Customers now have the ability to condense large data sets in seconds, quickly analyze suspicious files, and simplify challenging manual threat intelligence tasks. How Gemini helps simplify and assist with threat intelligence How Gemini helps simplify and assist with threat intelligence Gemini 1.5 Pro is a valuable part of Google Threat Intelligence, and we’ve integrated it so that it can more efficiently and effectively assist security professionals in combating malware. Gemini 1.5 Pro offers the world’s longest context window, with support for up to 1 million tokens . It can dramatically simplify the technical and labor-intensive process of reverse engineering malware — one of the most advanced malware-analysis techniques available to cybersecurity professionals. In fact, it was able to process the entire decompiled code of the malware file for WannaCry in a single pass , taking 34 seconds to deliver its analysis and identify the killswitch. 1 million tokens 1 million tokens WannaCry in a single pass WannaCry in a single pass We also offer a Gemini-driven entity extraction tool to automate data fusion and enrichment. It can automatically crawl the web for relevant open source intelligence (OSINT), and classify online industry threat reporting. It then converts this information to knowledge collections, with corresponding hunting and response packs pulled from motivations, targets, tactics, techniques, and procedures (TTPs), actors, toolkits, and Indicators of Compromise (IoCs). Google Threat Intelligence can distill more than a decade of threat reports to produce comprehensive, custom summaries in seconds. Make Google part of your security team Make Google part of your security team Google Threat Intelligence is just one way we can help you in your threat intelligence journey. Whether you need cyber threat intelligence training for your staff, assistance with prioritizing complex threats, or even a dedicated threat analyst embedded in your team, our experts can act as an extension of your own team. Google Threat Intelligence is part of Google Cloud Security’s comprehensive security portfolio, which includes Google Security Operations , Mandiant Consulting , Security Command Center Enterprise , and Chrome Enterprise . With our offerings, organizations can address security challenges with the same capabilities Google uses to keep more people and organizations safe online than anyone else in the world. Google Security Operations Google Security Operations Mandiant Consulting Mandiant Consulting Security Command Center Enterprise Security Command Center Enterprise Chrome Enterprise Chrome Enterprise To learn more about Google Threat Intelligence and the rest of Google Cloud Security’s comprehensive portfolio, come meet us in person at our RSA Conference booth (N5644), and catch us at our keynotes, presentations, and meetups . You can also register for our upcoming Google Threat Intelligence use-cases webinar series , and read our expert analysis and in-depth research at the Google Cloud Threat Intelligence blog . Google Threat Intelligence Google Threat Intelligence RSA Conference booth RSA Conference booth keynotes, presentations, and meetups keynotes, presentations, and meetups Google Threat Intelligence use-cases webinar series Google Threat Intelligence use-cases webinar series Threat Intelligence blog Threat Intelligence blog New Google Cloud customers from HackerNoon receive $300 plus an additional $50 in free credits to test, deploy, and explore Google Cloud for 90 days. Get started using the link here. New Google Cloud customers from HackerNoon receive $300 plus an additional $50 in free credits to test, deploy, and explore Google Cloud for 90 days. Get started using the link here. New Google Cloud customers from HackerNoon receive $300 plus an additional $50 in free credits to test, deploy, and explore Google Cloud for 90 days. Get started using the link here . here Originally published here . here Contributed by: Google Cloud

Actionable Threat Intelligence at Google Scale: Meet Google Threat Intelligence Powered by Gemini

Axion Processors: Google's First Arm-based CPUs

How can blockchain handle complex AI computations without losing its core promise of transparency? The Flare x Google Cloud Hackathon, held from March 7-9, 2025, at UC Berkeley’s California Memorial Stadium, tackled this question head-on. Over 460 developers and researchers from institutions like UC Berkeley, the University of Waterloo, and ETH Zurich participated, showcasing how blockchain and AI can integrate using verifiable off-chain computation. The Flare x Google Cloud Hackathon, held from March 7-9 in collaboration with Blockchain at Berkeley, demonstrated how verifiable AI can be seamlessly integrated with blockchain technology. Flare Blockchain at Berkeley Blockchain at Berkeley Addressing Blockchain’s Computational Limitations Blockchain excels at decentralized consensus but falters with the heavy data processing AI demands. The event introduced a solution: Google Cloud’s Confidential Space, built on Trusted Execution Environments (TEEs). TEEs process complex tasks off-chain in secure hardware enclaves, producing cryptographic attestations verified on Flare’s blockchain. This ensures computations remain tamper-proof. Flare’s built-in protocols, the Flare Time Series Oracle (FTSO) and Flare Data Connector (FDC), provided data integrity and provenance, critical for AI applications. Further, one of the key challenges in blockchain technology is achieving rich data computation while maintaining transparency and security. Traditional blockchains excel at decentralized consensus and deterministic execution but struggle with large-scale parallel processing, particularly for AI-intensive workloads. This hackathon sought to overcome that limitation by leveraging Google Cloud Confidential Space, a secure enclave built on Trusted Execution Environments (TEEs). Confidential Space Confidential Space Confidential Space ensures hardware-enforced confidentiality and generates cryptographic attestations, which can be verified on the Flare blockchain. This process guarantees that computations occur in a tamper-proof environment, preserving both data integrity and security. Flare’s enshrined data protocols, such as the Flare Time Series Oracle (FTSO) and the Flare Data Connector (FDC), played a crucial role in ensuring data provenance and integrity verification for AI applications. Flare Time Series Oracle Flare Time Series Oracle A Competitive and Innovative Hackathon With over 460 participants competing across four tracks, the hackathon produced verifiable AI solutions ranging from AI-powered decentralized finance (DeFi) applications (DeFAI) to consensus learning models. Every project utilized Confidential Space instances running on AMD’s Secure Encrypted Virtualization (SEV) platform with virtual Trusted Platform Module (vTPM) attestations. These attestations provided cryptographic proof that all AI computations were executed within an isolated, trusted environment. Rene Kolga, Product Manager at Google Cloud, expressed enthusiasm about the developers' engagement with the Confidential Space secure enclaves, stating: “We're thrilled to see developers using our Confidential Space secure enclaves to build trusted AI solutions. Projects like 2DeFi and the Flare AI Kit’s launch are exciting steps towards a future where AI and blockchain ensure data integrity and computational assurance.” 2DeFi: Bridging Traditional Finance and DeFi with AI One of the outstanding projects from the hackathon was 2DeFi, an AI-powered solution developed by University of Waterloo students Alex and Hitarth. The project won first place in the AI x DeFi (DeFAI) track and secured second place in the RAG Knowledge track. 2DeFi 2DeFi 2DeFi aimed to simplify the transition from traditional finance (TradFi) to decentralized finance (DeFi) by integrating Google Gemini AI. Users could upload screenshots of their Robinhood portfolios, which Gemini 2.0 then analyzed to assess risk tolerance. The AI-generated risk profile was mapped to an automated DeFi strategy, incorporating staking and liquidity provision on Flare. To streamline onboarding, 2DeFi also introduced embedded wallets, allowing users to create Google login-based wallets on Flare, removing the complexities of traditional Web3 user experiences. Flare AI Kit: Empowering Verifiable AI on Blockchain The hackathon also marked the official kickoff of Flare AI Kit, an open-source software development kit (SDK) designed for building verifiable AI agents on Flare. The kit leverages Google Cloud Confidential Space to provide developers with secure, attestable AI execution environments, ensuring AI safety, provenance, and verifiability. Flare AI Kit Flare AI Kit Hackathon participants demonstrated the potential of Flare AI Kit as a foundation framework for AI-powered blockchain applications. Moving forward, Flare AI Kit is expected to evolve into a production-ready framework, further enhancing functionality, usability, and integration options. The ultimate goal is to make Flare AI Kit available on the Google Cloud Marketplace, where enterprises and developers can access it as a turnkey solution. The Future of Verifiable AI on Blockchain The success of the Flare x Google Cloud Hackathon is just the beginning. As developers and researchers continue to push the boundaries of AI and blockchain convergence, projects like Flare AI Kit will play a crucial role in shaping the future of verifiable AI applications. By integrating Confidential Space TEEs, AI, and the Flare blockchain, Flare AI Kit is set to redefine how secure, verifiable AI applications are built, deployed, and trusted globally. Developers looking to get started can explore the Flare Developer Hub for in-depth documentation and resources. Flare Developer Hub Flare Developer Hub Don’t forget to like and share the story!

Can Blockchain and AI Finally Trust Each Other? Flare and Google Cloud’s Hackathon Says Yes

Blockchain እና AI በመጨረሻ እርስ በርስ መተማመን ይችላሉ? Flare እና Google Cloud's Hackathon አዎ ይላል።

Mogu li Blockchain i AI konačno vjerovati jedni drugima? Hackathon kompanije Flare i Google Cloud kaže da

Mohou si blockchain a AI konečně věřit? Flare a Hackathon Google Cloud říkají Ano

¿Pueden finalmente la blockchain y la IA confiar entre sí? El hackatón de Flare y Google Cloud afirma que sí.

آیا بلاک چین و هوش مصنوعی در نهایت می توانند به یکدیگر اعتماد کنند؟ Flare و Google Cloud's Hackathon بله می گوید

Կարո՞ղ են բլոկչեյնը և AI-ն վերջապես վստահել միմյանց: Flare-ը և Google Cloud's Hackathon-ն ասում է այո

ブロックチェーンと AI はついに信頼できるのか？Flare と Google Cloud のハッカソンで「イエス」と判定

Блокчейн мен AI бір-біріне сене ала ма? Flare және Google Cloud хакатоны «Иә» дейді

Czy Blockchain i AI w końcu mogą sobie zaufać? Hackathon Flare i Google Cloud mówi „tak”

Blockchain மற்றும் AI இறுதியாக ஒன்றையொன்று நம்ப முடியுமா? Flare மற்றும் Google Cloud இன் Hackathon ஆம் என்று கூறுகிறது.

ในที่สุด Blockchain และ AI จะสามารถไว้วางใจซึ่งกันและกันได้หรือไม่? Flare และ Hackathon ของ Google Cloud บอกว่าใช่

Чи можуть Blockchain і AI нарешті довіряти один одному? Хакатон від Flare і Google Cloud каже «так».

How Can AI and Blockchain Change the Way We Compute? Have you ever asked how data processing might shift from a single system to a coordinated network of specialized units? A group of developers is set to explore this possibility. Flare, in collaboration with Google Cloud, is hosting a hackathon at UC Berkeley to test a method where heavy AI tasks are processed offchain and their results are recorded onchain. The Story Behind the Event Picture a system that takes compute-heavy tasks away from the blockchain. Instead of overloading the blockchain with intense operations, these tasks are moved to a secure environment known as a Trusted Execution Environment (TEE). Once the tasks are completed in the TEE, the outcomes are logged on the blockchain through cryptographic proofs. This method addresses a key challenge: the computational limits of onchain processing. By separating the tasks, the system aims to maintain the blockchain's record of events while using dedicated hardware to handle the heavy lifting. This approach is the central focus of the hackathon. Flare announced an AI hackathon at UC Berkeley in collaboration with Google Cloud. The event runs from March 7 to 9 at California Memorial Stadium. Participants will combine offchain compute methods with blockchain verification protocols using Trusted Execution Environments (TEEs). Event Details Prize Pool: $100,000 total

In-Person: $60,000
Virtual: $40,000


Tracks:


Social AI Agents


RAG Knowledge Systems


DeFAI


Consensus Learning Developers will work with tools from Google Cloud’s Confidential Computing and Flare’s blockchain data protocols. The goal is to shift intensive compute tasks offchain and link the results onchain with cryptographic proofs. Technical Approach The hackathon focuses on using TEEs to process AI tasks outside the blockchain. Compute tasks will run offchain and the outcomes will be recorded onchain with cryptographic proofs. This method addresses the limits of onchain processing and enables new techniques for handling data and computation in blockchain environments. Industry Collaboration Flare works with Blockchain at Berkeley and Google Cloud for this event. Blockchain at Berkeley will engage blockchain developers, students, and related groups. Google Cloud supplies time series data to Flare’s Time Series Oracle, a role it has maintained since January 2024. Format and Participation The event takes place in two formats: On Campus: At California Memorial Stadium, UC Berkeley.
Online: Hosted on DoraHacks. Registration opens in early February. Teams are invited to develop systems that integrate offchain AI compute with onchain verification. Looking Ahead Flare plans further work in offchain compute and blockchain integration as part of its 2025 roadmap. The hackathon offers a platform to test methods that process data offchain and verify results onchain. Teams will create applications that combine offchain compute with blockchain records. Interested participants may apply at the event website. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR How Can AI and Blockchain Change the Way We Compute? Have you ever asked how data processing might shift from a single system to a coordinated network of specialized units? A group of developers is set to explore this possibility. Flare , in collaboration with Google Cloud, is hosting a hackathon at UC Berkeley to test a method where heavy AI tasks are processed offchain and their results are recorded onchain. Flare The Story Behind the Event Picture a system that takes compute-heavy tasks away from the blockchain. Instead of overloading the blockchain with intense operations, these tasks are moved to a secure environment known as a Trusted Execution Environment (TEE). Once the tasks are completed in the TEE, the outcomes are logged on the blockchain through cryptographic proofs. This method addresses a key challenge: the computational limits of onchain processing. By separating the tasks, the system aims to maintain the blockchain's record of events while using dedicated hardware to handle the heavy lifting. This approach is the central focus of the hackathon. Flare announced an AI hackathon at UC Berkeley in collaboration with Google Cloud. The event runs from March 7 to 9 at California Memorial Stadium. Participants will combine offchain compute methods with blockchain verification protocols using Trusted Execution Environments (TEEs). Event Details Prize Pool: $100,000 total

In-Person: $60,000
Virtual: $40,000 Tracks:


Social AI Agents


RAG Knowledge Systems


DeFAI


Consensus Learning Prize Pool: $100,000 total In-Person: $60,000
Virtual: $40,000 Prize Pool: In-Person: $60,000 Virtual: $40,000 In-Person: $60,000 Virtual: $40,000 Tracks: Social AI Agents


RAG Knowledge Systems


DeFAI


Consensus Learning Tracks: Social AI Agents RAG Knowledge Systems DeFAI Consensus Learning Social AI Agents Social AI Agents RAG Knowledge Systems RAG Knowledge Systems DeFAI DeFAI Consensus Learning Consensus Learning Developers will work with tools from Google Cloud’s Confidential Computing and Flare’s blockchain data protocols. The goal is to shift intensive compute tasks offchain and link the results onchain with cryptographic proofs. Technical Approach The hackathon focuses on using TEEs to process AI tasks outside the blockchain. Compute tasks will run offchain and the outcomes will be recorded onchain with cryptographic proofs. This method addresses the limits of onchain processing and enables new techniques for handling data and computation in blockchain environments. Industry Collaboration Flare works with Blockchain at Berkeley and Google Cloud for this event. Blockchain at Berkeley will engage blockchain developers, students, and related groups. Google Cloud supplies time series data to Flare’s Time Series Oracle, a role it has maintained since January 2024. Format and Participation The event takes place in two formats: On Campus: At California Memorial Stadium, UC Berkeley. Online: Hosted on DoraHacks. On Campus: At California Memorial Stadium, UC Berkeley. On Campus: Online: Hosted on DoraHacks. Online: Registration opens in early February. Teams are invited to develop systems that integrate offchain AI compute with onchain verification. Looking Ahead Flare plans further work in offchain compute and blockchain integration as part of its 2025 roadmap. The hackathon offers a platform to test methods that process data offchain and verify results onchain. Teams will create applications that combine offchain compute with blockchain records. Interested participants may apply at the event website. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program . HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure: business blogging program business blogging program

How Flare is Unlocking Offchain AI: Flare and Google Cloud at UC Berkeley for Web3 & AI Hackathon

Hoe Flare Offchain AI ontsluit: Flare en Google Cloud by UC Berkeley vir Web3 & AI Hackathon

ፍላይ እንዴት Offchain AI: Flare እና Google Cloud በUC Berkeley ለWeb3 እና AI Hackathon እየከፈተ ነው

Com Flare desbloqueja Offchain AI: Flare i Google Cloud a UC Berkeley per a Web3 i AI Hackathon

Cómo Flare está desbloqueando la IA fuera de la cadena: Flare y Google Cloud en la UC Berkeley para el hackathon Web3 & AI

Comment Flare débloque l'IA hors chaîne : Flare et Google Cloud à l'UC Berkeley pour le Web3 & AI Hackathon

Flare がオフチェーン AI を解き放つ方法: Flare と Google Cloud が UC Berkeley で Web3 & AI ハッカソンを開催

Ndenge nini Flare ezali ko débloquer Offchain AI: Flare na Google Cloud na UC Berkeley pona Web3 & AI Hackathon

Jak Flare odblokowuje sztuczną inteligencję poza łańcuchem: Flare i Google Cloud na UC Berkeley na Hackathonie Web3 i AI

Si po zhbllokon Flare Offchain AI: Flare dhe Google Cloud në UC Berkeley për Web3 & AI Hackathon

Flare Offchain AI-ni nädip açýar: Web3 & AI Hackathon üçin UC Berkeley-de Flare we Google Cloud

Як Flare розблоковує Offchain AI: Flare і Google Cloud в UC Berkeley для Web3 & AI Hackathon

Indlela i-Flare evula ngayo i-Offchain AI: I-Flare kunye neLifu likaGoogle e-UC Berkeley yeWeb3 kunye ne-AI Hackathon

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Building an API with Go, PostgreSQL, Google Cloud and CockroachDB

Flare has launched its Blockchain Machine Images on Google Cloud Marketplace, enabling developers to deploy nodes across more than 20 blockchain networks with unprecedented speed and efficiency. The integration, announced on October 25, 2024, addresses a persistent challenge in blockchain development - the time-consuming process of node deployment and maintenance. Through this solution, developers can now launch full blockchain nodes within minutes, a process that traditionally required hours or days of setup and synchronization. "This integration removes barriers for builders, making node deployment accessible to anyone with just a few clicks," states Josh Edwards, Flare's VP of Engineering. The move positions Flare at the forefront of blockchain infrastructure development, expanding beyond the standard Bitcoin and Ethereum offerings common in the market. The platform's capabilities extend across multiple dimensions: Instant Deployment: Developers can launch nodes for Flare, Bitcoin, Ethereum, and other networks through a streamlined interface


Cost Reduction: The solution eliminates the need for extensive infrastructure investment


Maintenance Automation: Updates and patches can be implemented with single-click operations


Unlimited RPC Calls: The system supports unrestricted blockchain data access for intensive workloads For enterprises considering blockchain adoption, this development reduces the technical barriers to entry. Companies can now initiate blockchain pilots without investing in specialized infrastructure or technical expertise. The platform's integration with Google Cloud's infrastructure provides the security and scalability requirements that enterprise users demand. Dai Vu, Managing Director of Marketplace & ISV GTM Programs at Google Cloud, emphasizes the significance: "This integration enables customers to manage blockchains on Google Cloud's global infrastructure, supporting their digital transformation initiatives." The launch builds upon Flare's existing relationship with Google Cloud, complementing their API Portal that facilitates blockchain transactions and state access. This expansion demonstrates Flare's commitment to creating a comprehensive blockchain data infrastructure. Market implications suggest this development could accelerate blockchain adoption across industries. Financial technology companies can now integrate blockchain data into their applications with reduced technical overhead. The platform's support for data indexing and historical data access opens possibilities for advanced analytics and machine learning applications in the blockchain space. The broader impact extends to the blockchain ecosystem as a whole. By simplifying node deployment across multiple networks, Flare's solution could foster increased decentralization and network resilience. The ability to rapidly deploy nodes may lead to more robust and distributed blockchain networks. Looking ahead, Flare plans to expand support to additional blockchain networks, potentially establishing a new standard for blockchain infrastructure deployment. The company's focus on data-intensive use cases, including machine learning and real-world asset tokenization, positions this development as a stepping stone toward more sophisticated blockchain applications. This integration represents a convergence of enterprise-grade cloud infrastructure with blockchain technology, potentially catalyzing the next wave of blockchain innovation and adoption. As organizations continue to explore blockchain applications, solutions that simplify technical implementation while maintaining security and scalability will prove crucial for mainstream adoption. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Flare has launched its Blockchain Machine Images on Google Cloud Marketplace, enabling developers to deploy nodes across more than 20 blockchain networks with unprecedented speed and efficiency. Flare The integration, announced on October 25, 2024, addresses a persistent challenge in blockchain development - the time-consuming process of node deployment and maintenance. Through this solution, developers can now launch full blockchain nodes within minutes, a process that traditionally required hours or days of setup and synchronization. "This integration removes barriers for builders, making node deployment accessible to anyone with just a few clicks," states Josh Edwards, Flare's VP of Engineering. The move positions Flare at the forefront of blockchain infrastructure development, expanding beyond the standard Bitcoin and Ethereum offerings common in the market. The platform's capabilities extend across multiple dimensions: Instant Deployment: Developers can launch nodes for Flare, Bitcoin, Ethereum, and other networks through a streamlined interface Cost Reduction: The solution eliminates the need for extensive infrastructure investment Maintenance Automation: Updates and patches can be implemented with single-click operations Unlimited RPC Calls: The system supports unrestricted blockchain data access for intensive workloads Instant Deployment: Developers can launch nodes for Flare, Bitcoin, Ethereum, and other networks through a streamlined interface Instant Deployment: Developers can launch nodes for Flare, Bitcoin, Ethereum, and other networks through a streamlined interface Cost Reduction: The solution eliminates the need for extensive infrastructure investment Cost Reduction: The solution eliminates the need for extensive infrastructure investment Maintenance Automation: Updates and patches can be implemented with single-click operations Maintenance Automation: Updates and patches can be implemented with single-click operations Unlimited RPC Calls: The system supports unrestricted blockchain data access for intensive workloads Unlimited RPC Calls: The system supports unrestricted blockchain data access for intensive workloads For enterprises considering blockchain adoption, this development reduces the technical barriers to entry. Companies can now initiate blockchain pilots without investing in specialized infrastructure or technical expertise. The platform's integration with Google Cloud's infrastructure provides the security and scalability requirements that enterprise users demand. Dai Vu, Managing Director of Marketplace & ISV GTM Programs at Google Cloud, emphasizes the significance: "This integration enables customers to manage blockchains on Google Cloud's global infrastructure, supporting their digital transformation initiatives." The launch builds upon Flare's existing relationship with Google Cloud, complementing their API Portal that facilitates blockchain transactions and state access. This expansion demonstrates Flare's commitment to creating a comprehensive blockchain data infrastructure. Market implications suggest this development could accelerate blockchain adoption across industries. Financial technology companies can now integrate blockchain data into their applications with reduced technical overhead. The platform's support for data indexing and historical data access opens possibilities for advanced analytics and machine learning applications in the blockchain space. The broader impact extends to the blockchain ecosystem as a whole. By simplifying node deployment across multiple networks, Flare's solution could foster increased decentralization and network resilience. The ability to rapidly deploy nodes may lead to more robust and distributed blockchain networks. Looking ahead, Flare plans to expand support to additional blockchain networks, potentially establishing a new standard for blockchain infrastructure deployment. The company's focus on data-intensive use cases, including machine learning and real-world asset tokenization, positions this development as a stepping stone toward more sophisticated blockchain applications. This integration represents a convergence of enterprise-grade cloud infrastructure with blockchain technology, potentially catalyzing the next wave of blockchain innovation and adoption. As organizations continue to explore blockchain applications, solutions that simplify technical implementation while maintaining security and scalability will prove crucial for mainstream adoption. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program . HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure: business blogging program business blogging program

Flare Revolutionizes Blockchain Node Deployment with Google Cloud Marketplace Integration

Flare revolusioneer Blockchain Node-ontplooiing met Google Cloud Marketplace-integrasie

Flare revoluciona la implementación de nodos blockchain con la integración de Google Cloud Marketplace

Flare Merevolusi Penerapan Node Blockchain dengan Integrasi Google Cloud Marketplace

Flare が Google Cloud Marketplace との統合によりブロックチェーン ノードの展開を革新

Flare Google Cloud Marketplace интеграциясымен блокчейн түйінін орналастыруда төңкеріс жасайды

Flare Google Cloud Marketplace интеграциясы менен блокчейн түйүнүнүн жайылышын революция кылды

Flare Merevolusikan Penerapan Nod Blockchain dengan Penyepaduan Pasaran Awan Google

फ्लेयरले गुगल क्लाउड मार्केटप्लेस एकीकरणको साथ ब्लकचेन नोड परिनियोजनलाई क्रान्ति गर्दछ

Flare Google Cloud Marketplace Integration සමඟ Blockchain Node Deployment විප්ලවීය කරයි

கூகுள் கிளவுட் மார்க்கெட்ப்ளேஸ் ஒருங்கிணைப்புடன் பிளாக்செயின் நோட் வரிசைப்படுத்தலை ஃப்ளேர் புரட்சிகரமாக்குகிறது

“Flare” “Google Cloud Marketplace Integration” bilen “Blockchain” düwünleriniň ýerleşdirilmegini rewolýusiýa edýär

Flare cách mạng hóa việc triển khai nút Blockchain với tích hợp Google Cloud Marketplace

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