Cloud Computing

In the latest episode of the Agent Factory, Mofi Rahman and I had the pleasure of hosting, Brandon Royal, the PM working on agentic workloads on GKE. We dove deep into the critical questions around the nuances of choosing the right agent runtime, the power of GKE for agents, and the essential security measures needed […]

In computing’s early days of the 1940s, mathematicians discovered a flawed assumption about the behavior of round-off errors. Instead of canceling out, fixed-point arithmetic accumulated errors, compromising the accuracy of calculations. A few years later, “random round-off” was proposed, which would round up or down based on a random probability proportional to the remainder. In

You’ve built a powerful AI agent. It works on your local machine, it’s intelligent, and it’s ready to meet the world. Now, how do you take this agent from a script on your laptop to a secure, scalable, and reliable application in production? On Google Cloud, there are multiple paths to deployment, each offering a

The White House’s Genesis Mission has set a bold ambition for our nation: to double our scientific productivity within the decade and harness artificial intelligence (AI) to accelerate the pace of discovery. This requires a profound transformation in our national scientific enterprise, one that seamlessly integrates high-performance computing, world-class experimental facilities, and AI. The challenge

Today’s AI capabilities provide a great opportunity to enable natural language (NL) interactions with your enterprise data through applications using text and voice. In fact, in the world of agentic applications, natural language is rapidly becoming the interaction standard. That means agents need to be able to issue natural language questions to a database and

At Google Cloud, we continue to make critical investments to Vertex AI Agent Builder, our comprehensive and open platform, enabling you to build faster, scale efficiently, and govern with enterprise-grade security. Today, with the integration of the Cloud API Registry, we’re excited to bring enhanced tool governance capabilities to Vertex AI Agent Builder. With this

The complexity of the infrastructure behind AI training and high performance computing (HPC) workloads can really slow teams down. At Google Cloud, where we work with some of the world’s largest AI research teams, we see it everywhere we go: researchers hampered by complex configuration files, platform teams struggling to manage GPUs with home-grown scripts,