Today, we’re announcing a step forward in core reasoning building on the Gemini 3 series: Gemini 3.1 Pro. What’s new: 3.1 Pro is a noticeably smarter, more capable baseline for complex problem-solving. We’re shipping 3.1 Pro at scale, building upon our goal to help you transform your business for the agentic future. Learn more about […]
Introducing Gemini 3.1 Pro on Google Cloud Read More »
Inside the pay-per-crawl model colaunched by Stack Overflow and Cloudflare.
Why Stack Overflow and Cloudflare launched a pay-per-crawl model Read More »
For developers building AI applications, including custom agents and chatbots, the open-source Model Context Protocol (MCP) standard enables your innovations to access data and tools consistently and securely. At the end of 2025, we introduced managed and remote MCP support for services like Google Maps and BigQuery, establishing a standard method for AI to connect
Powering the next generation of agents with Google Cloud databases Read More »
For the second consecutive year Google (Spanner) has been recognized by Gartner in the Critical Capabilities for Cloud Database Management Systems for Operational Use Cases report, where it ranked #1 in the Lightweight Transactions Use Case. In our opinion, this is a testament to its efficiency, low latency, and high-performance consistency. It was also ranked
Welcome to the first Cloud CISO Perspectives for February 2026. Today, John Hultquist, chief analyst, Google Threat Intelligence Group, explains the research detailed in our newest AI Threat Tracker report. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog. If you’re reading this on the website
When AI agents make thousands of decisions a day, consistent performance isn’t just a technical detail — it’s a business requirement. Provisioned Throughput (PT) solves this by giving you reserved resources that guarantee capacity and predictable performance. To help you scale, we are updating PT on Vertex AI with three key improvements: Model diversity: Run
Your guide to Provisioned Throughput (PT) on Vertex AI Read More »
Your AI agents are only as good as the data behind them. For enterprise teams building agentic AI, that’s both the opportunity and the core question: How do you give Gemini and other AI models access to accurate, well-documented data when that data lives across dozens of systems, from modern cloud services to legacy mainframes?
Unlocking enterprise data to accelerate agentic AI: How Ab Initio does it Read More »
Your AI agents are only as good as the data behind them. For enterprise teams building agentic AI, that’s both the opportunity and the core question: How do you give Gemini and other AI models access to accurate, well-documented data when that data lives across dozens of systems, from modern cloud services to legacy mainframes?
Unlocking enterprise data to accelerate agentic AI: How Ab Initio does it Read More »
Developer trust is synonymous with a willingness to deploy AI-generated code to production systems with minimal human review, as well as assurance that AI tools aren’t introducing unacceptable risks and technical debt that will burden you down the line.
Mind the gap: Closing the AI trust gap for developers Read More »
AWS powers the work of “inference” with custom chips, smart routing systems, and purpose-built infrastructure—making AI faster and more affordable.
Inside Gen AI’s split-second sprint from question to answer Read More »
