Recorded on the floor of HumanX, Ryan is joined by AMD CTO Mark Papermaster to discuss AMD’s silicon strategy for AI borne of their long history of heterogeneous CPU/GPU computing, how chipmakers are dealing the wide range of AI workloads from training to inference, and the paradox of agents both eating up all the compute […]
AI giveth and AI taketh CPU Read More »
Today, we’re thrilled to announce that Gemini 3.1 Flash-Lite, our fastest and most cost-efficient Gemini 3 series model yet, is now generally available. Designed for ultra-low latency, high-volume tasks, and unmatched cost-efficiency, Flash-Lite is already transforming how applications are built at scale. Fast, iterative, and scalable, it joins our comprehensive suite of Pro and Flash
Gemini 3.1 Flash-Lite is now generally available on Gemini Enterprise Read More »
In the high-stakes world of digital infrastructure, speed isn’t just a metric — it’s currency. At Google Cloud Next ‘26 we announced the Bigtable in-memory tier, a breakthrough for our fully managed cloud database service that delivers: Sub-millisecond read latency for time-sensitive data ~10x higher point read throughput per dollar, dramatically reducing TCO Hotspot resistance,
New Bigtable in-memory tier for sub-millisecond read latency Read More »
The agricultural and crop protection supply chain is one of the most intricate networks in the world. It takes up to two years to turn active ingredients into the final products farmers need, and a single change in weather or regulations can disrupt everything. Planners at BASF Agricultural Solutions navigate this reality daily across 180
Ingress-NGINX had been handling our traffic routing since moving to Kubernetes, but when it was announced it would be retired, we were forced to consider a new traffic routing solution.
How we replaced NGINX-Ingress at Stack Overflow Read More »
AI coding agents are rapidly becoming ubiquitous across the software industry, fundamentally changing how developers write, test, and debug daily code. While these tools excel at localized, self-contained tasks, applying them to massive, systemic codebase migrations requires an entirely new approach. Google is already addressing this challenge by incorporating AI into many migration workflows: x86
Welcome to The Blueprint, a new feature where we highlight how Google Cloud customers are tackling unique and common challenges across industries using the latest AI and cloud technologies. We hope to inspire others looking to innovate in their work. Founded in 2007, Doist is a pioneer in async and remote-first work on a mission
“How will this look on me?” It’s the question every online fashion shopper asks, and one that most retailers still can’t answer well. Breuninger, a fashion and lifestyle company based in Germany, thought emerging generative media models could be a good fit for this fashion conundrum. Working with Google Cloud, they built a virtual try-on
Fitting the future: How Breuninger boosted sales with its “be your own model” AI Read More »
The AI era demands a fundamental shift in security, and that includes identity and access management (IAM). Traditional controls simply aren’t built for autonomous AI agents that interact with sensitive data at machine speed, a reality we address with our new IAM advancements for the agentic enterprise era. Engineered as built-in Google Cloud capabilities to
What’s new in IAM: Security, governance, and runtime defense Read More »
At Google, we see firsthand how cyber threats can outpace traditional defense mechanisms — and how agentic threat intelligence can help bridge the gap. We have a vision for agentic defense where autonomous AI agents, powered by Gemini and fed by our unmatched threat visibility, can reason through complex malware and preemptively neutralize threats at
