The biggest bottleneck for enterprise agents isn’t model intelligence—it’s institutional knowledge locked outside your databases. Hand-curating that context will never scale. With new self-learning enrichment, context sets, and a reimagined UI in Knowledge Catalog (preview), your enterprise context layer now learns continuously from live agent interactions and unstructured docs—cutting token usage while keeping humans in control. See how it works and join the preview → https://goo.gle/47w9fQT
Google Cloud
Software Development
Mountain View, California 3,478,787 followers
The new way to cloud.
About us
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
- Website
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https://cloud.google.com/
External link for Google Cloud
- Industry
- Software Development
- Company size
- 10,001+ employees
- Headquarters
- Mountain View, California
Updates
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Today, at AGNTCon + MCPCon, we're launching Agent Compute Engine, a purpose-built compute service that already powers Gemini for business. Purpose-built for agents, Agent Compute Engine gives every Gemini agent its own high-performance, secure computer to act upon, powering Gemini's dynamic, high-churn sessions. Learn more → https://goo.gle/4i7ySME
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Your company has years of past data, wins, and lessons learned. Why is your agent acting like it just started its first day on the job? In our latest video, Harris Beber breaks down exactly what makes your agentic workforce "enterprise-grade": context and control. Gemini leverages your specific business data to analyze past campaign wins and losses and deliver actionable, tailored work—all while being managed safely and securely within your own company's walls. Stop settling for the same generic answers your competitors are getting. Start leveraging the insights you already own.
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Accelerating PyTorch just got simpler. We’re thrilled to announce the general availability of TorchTPU, bringing deeper, native integration between PyTorch and TPUs. For machine learning engineers and researchers running large-scale training and inference, TorchTPU eliminates friction—allowing teams to leverage TPU hardware acceleration directly within standard PyTorch workflows. What this means for builders: - Native PyTorch Experience: Train and serve using familiar PyTorch idioms without specialized refactoring. - Optimized Price-Performance: Tap into Google Cloud TPUs for high-throughput, cost-efficient compute. - Rapid Onboarding: Unified tooling and streamlined environments designed to get models running faster. Ready to get started? Explore tutorials, setup guides, and architecture best practices at the TPU Developer Hub → https://goo.gle/4BjGOmO Learn more about serving models at scale on TPUs → https://goo.gle/4BeqX9b Learn more about scaling training on TPUs with TorchTitan → https://goo.gle/4z1n59J
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OpenAI models are coming to Google Cloud. We're partnering with Google Cloud to bring OpenAI's frontier models and Codex agentic workflows into Google Cloud's model garden, giving enterprises access to our technology in the environment where they already build. Teams will be able to modernize software development and build agentic workflows with Google Cloud's built-in access controls, data governance, and infrastructure. Customers will also be able to purchase OpenAI models through Google Cloud Marketplace and apply existing Google Cloud spend commitments, giving them more flexibility in how they adopt frontier AI. General availability is planned in the coming weeks. Learn more: https://lnkd.in/etZTxJrq
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Building effective agentic workloads means having the flexibility to choose the right infrastructure and the right models. Today, we are expanding that choice by bringing OpenAI models to Google Cloud's model garden. With more than 200 first-party, third-party, and open models available, you have the enterprise-grade governance and market-leading price-performance needed to perfectly balance cost, capability, and performance. Learn more → https://goo.gle/4shcx3H
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On this week's livestream, we are diving into how Google security engineers proactively catch code vulnerabilities before production. We will explore tools like Mantis, a multi-agent framework that automates security auditing with multi-step reasoning to drastically cut down false positives. We will also demo Antigravity CLI in action, showing how custom skills and hooks catch the hidden flaws that "vibe-coded" features often leave behind. Join us to learn how to embrace an "attacker mindset" and secure your systems far in advance of shipping.
Google’s approach to security review with agents
www.linkedin.com
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Today we’re launching Gemini for government services! Developed alongside public sector leaders and our partner ecosystem, this preview release delivers secure, enterprise-grade skills, agents, and connectors, purpose-built to help eliminate administrative friction so public servants can focus on what matters most: mission delivery. Learn more in this blog post: https://lnkd.in/gHRuAXDA #Google #Gemini #Government #GoogleCloud #AI #GeminiEnterprise
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Introducing Gemini for government services, now in preview. Part of our purpose-built industry solutions, it delivers specialized skills for public sector workflows, secure connectors to existing agency systems, and pre-built partner agents that meet the highest security and compliance standards required by U.S. government agencies. Dive into this edition of our LinkedIn newsletter to learn how agencies are streamlining public records discovery, regulatory research, and program audits with Gemini for government services
