nvidia5 articles
Microsoft and Nvidia Are Building AI Agent PCs, Because Copilot Wasn't Embarrassing Enough
Microsoft and Nvidia are reportedly partnering to launch AI-focused PCs powered by Nvidia chips as the main processor, with devices from Microsoft Surface and Dell expected to be unveiled at Computex and Microsoft's Build conference. Microsoft is also developing new software based on the OpenClaw framework that enables AI agents to handle tasks locally on Windows PCs, with plans to integrate this into Microsoft 365. This marks Microsoft's second major AI PC push, aiming to go beyond the largely unsuccessful Copilot+ PC initiative by embedding AI agents more deeply into actual user workflows.
Nvidia CFO Claims $20 Billion CPU Revenue Year Will Make It the World's Top CPU Supplier
Nvidia CFO Colette Kress announced the company has visibility to nearly $20 billion in CPU revenue this year, positioning it to become the world's leading CPU supplier, driven by its new Vera CPU chip based on custom Arm cores. Major hyperscalers and AI labs including Anthropic, OpenAI, and Oracle have begun taking delivery of Vera-based systems, with Nvidia claiming the chip offers significant performance and efficiency advantages over x86 alternatives. This CPU push comes alongside a strong fiscal Q1 2027, in which Nvidia reported $81.6 billion in revenue — up 85% year-on-year — and forecast Q2 revenues of $91 billion.
Nvidia Posts Record Quarter, Investors Shrug
Nvidia reported record first-quarter results, with revenue up 85% year-on-year to $81.6bn and net income more than tripling to $58.3bn, driven by surging demand for AI infrastructure chips. Despite beating expectations, shares fell 1.6% in after-hours trading, as analysts noted investors have grown accustomed to Nvidia's exceptional performance and are seeking even higher growth. Concerns about increasing competition, as major clients develop their own chips, also weighed on investor sentiment.
NVIDIA and Google Cloud Are Arming 100,000 Developers With AI Tools — Here's What's Actually New
NVIDIA and Google Cloud are expanding their joint developer community—now over 100,000 strong—by introducing new learning resources such as a JAX-on-NVIDIA-GPUs learning path, an NVIDIA Dynamo inference codelab, and monthly developer livestreams. Together, they are equipping developers with tools and frameworks to build and deploy production-ready AI applications, including multi-agent systems using Google DeepMind's Gemma models, NVIDIA Nemotron, and optimized inference on Google Kubernetes Engine. The partnership also prioritizes responsible AI development through collaboration on Google DeepMind's SynthID watermarking technology integrated with NVIDIA Cosmos world foundation models.
GPT-5.5 and Codex Are Inside NVIDIA Already. Here's What That Actually Means.
OpenAI's Codex coding application, now powered by GPT-5.5, runs on NVIDIA's GB200 NVL72 rack-scale systems, delivering dramatically faster and cheaper AI inference. Over 10,000 NVIDIA employees across various departments are already using it, reporting significant productivity gains such as debugging cycles shrinking from days to hours and weeks-long projects completing overnight. The rollout reflects a decade-long partnership between NVIDIA and OpenAI, with OpenAI committing to deploy over 10 gigawatts of NVIDIA systems for future AI infrastructure.