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AMD and Nvidia Built Very Different CPUs for Agentic AI

By BSR Admin / July 26, 2026 /

AMD spent two days in San Francisco arguing that the server CPU has stopped being a supporting part. The number carrying that argument: a data center CPU market worth roughly $220 billion by 2030, inside a total compute opportunity near $2 trillion. Worth being precise about what that figure is. AMD’s slide states a CAGR…

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Behind NVIDIA’s Vera Launch: How AI Agents Are Reshaping Data Center CPUs

By BSR Admin / May 19, 2026 /

Between May 15 and May 18, 2026, NVIDIA’s Ian Buck hand-delivered the first production Vera CPU systems to Anthropic, OpenAI, and SpaceX AI on Friday, followed by Oracle Cloud Infrastructure on Monday. It was a literal white-glove launch — a vice president walking server boxes into customer lobbies with a screwdriver in his pocket. The…

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The Token Factory: How NVIDIA GTC 2026 Redefined the Economics of AI

By BSR Admin / March 21, 2026 /

If you’ve been following the artificial intelligence boom over the last few years, you’ve likely noticed a frantic, almost unprecedented gold rush. Tech giants, nation-states, and well-funded startups alike scrambled to buy as many NVIDIA H100 GPUs as possible, often waiting months for shipments and spending billions in capital expenditure. Why? To train the next…

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The Agentic AI Era: How NVIDIA Rubin, Vera CPU, Groq 3 LPU, BlueField-4 Redefine the Inference Factory

By BSR Admin / March 16, 2026 /

The GTC 2026 keynote in San Jose marked a fundamental pivot in the history of computing. Jensen Huang didn’t just announce a faster GPU; he announced the end of the “Chatbot” phase of artificial intelligence and the official commencement of the Agentic AI Era. For the last three years, the industry’s focus was singular: Training.…

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DRAM Shortage Won’t End in 2026: Why NVIDIA Just Told Fabs to “Build More, We’ll Buy it All”

By BSR Admin / March 15, 2026 /

The global semiconductor landscape has undergone a fundamental transformation. In previous eras, the “compute” part of the equation—the raw processing power of the GPU core—was the primary limiting factor for AI progress. As we move deeper into 2026, that bottleneck has shifted decisively toward memory bandwidth. At the Morgan Stanley Technology, Media & Telecom Conference…

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