The future of browser-based security: Leveraging browser data for proactive defense
The browser has changed significantly. Rather than just a window to the web, it serves as an AI workspace and central operating environment for the modern enterprise. With knowledge workers spending over 56% of their workday in the browser, it is a key gateway for daily work, complex workflows, and direct interaction with autonomous AI agents ( Omdia , 2026). To keep pace with threat actors,…
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AI21 achieves an 83% reduction in time-to-start for AI workloads with AI Hypercomputer
Editor’s note : AI21 Labs is a leading global AI lab with a long track record of building foundation models, most notably the Jamba family, and today focuses on specialized LLMs and agent optimization technology. By adopting Google Cloud AI Hypercomputer, AI21 cut high-priority job wait times from 72 hours to 12 and manual scheduling interventions from 20 per week to zero. At AI21 , we build…
GKE CPU startup boost: Accelerate app starts without over-provisioning
Whether you’re launching microservices in response to sudden traffic spikes, deploying new software releases, or scaling up application replicas, pod startup time is critical to maintaining a fast, responsive user experience for applications running on Google Kubernetes Engine (GKE). Yet, platform engineers and developers face a persistent dilemma: Applications often demand significantly more CPU…
Announcing Spanner queues: Transactional messaging for agentic workloads and beyond
AI agents don't just answer queries, they can autonomously issue refunds, manage inventory, execute multi-step handoffs, and orchestrate sub-agents, to name but a few complex agentic workflows. That frequently requires the agents to maintain internal state in an operational database while dispatching asynchronous actions through a separate messaging or event queue system. And unfortunately for…
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What other companies in Containers & Kubernetes are doing. The category page shows who’s active, side by side.
Creating a private 5G network
As private 5G evolves from experimentation into production readiness, its success hinges on a fundamental architectural shift: replacing heavyweight, legacy virtualization stacks with agile, softwarized infrastructure that reduces operational expenditure (OpEx) and accelerates service delivery.
Avoiding Vendor Lock-In Through an Open Source Approach: A Developer’s Perspective
Every infrastructure team makes decisions that are difficult to reverse. Most of the time, that works out. Sometimes it does not. Vendor lock-in usually begins as a reasonable choice, made under pressure, that solves a real problem at the time. A managed service ships faster or a deployment model fits better in that moment, but […] The post Avoiding Vendor Lock-In Through an Open Source Approach:…
Bringing enterprise Linux to the robotics frontier: ROS2 adds Red Hat Enterprise Linux as a tier-1 supported platform
The convergence of enterprise IT and physical computing is accelerating. As artificial intelligence transitions from purely digital environments into autonomous systems, industrial automation, and smart edge devices, the software foundation behind these systems must be as resilient as the physical machines themselves.To power this next generation of intelligent systems, we’re pleased that Red Hat…
Best practices guide for customizing Gemini models via Reinforcement Learning (RL)
Reinforcement learning (RL) has been a keystone of modern LLM post-training, but it demands large training clusters and access to model internals that external customers can't have with proprietary models like Gemini. So here at Google Cloud, we packaged it into a managed RL fine-tuning service (RLFT service), you bring prompts and a reward function; we handle the infrastructure and the…