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Every Nvidia article on AIPress — analysis, explainers and comparisons.
NVIDIA launched the Open Agent Safety Platform on September 28 — OpenShell for access control and Sentry for independent monitoring on BlueField-4 DPUs — the same day OpenAI scrapped GPT-6.1 Astra. The platform's five core principles and hardware-rooted enforcement target the rogue-agent problem defining the current news cycle.
California adopted the first US state rules requiring large AI data centers to report energy and water use, with efficiency benchmarks to follow. The move comes as California's grid strains under data center load.
NVIDIA and OpenAI signed a letter of intent on Sep 16 for 10 gigawatts of NVIDIA systems — the largest AI infrastructure deployment in history — with NVIDIA investing up to $100 billion progressively as each gigawatt comes online on the Vera Rubin platform from the second half of 2026.
A 100,000-GPU AI training cluster is as much a power station and a cooling plant as a compute installation. This plain-language tour covers the four hard constraints — power, cooling, networking fabric, and storage — and why the physical layer is now the binding limit on AI progress.
Nvidia CEO Jensen Huang declared AGI has arrived on X, Sept 7, pointing at GPT-6 Astra trained on 100K+ Grace Blackwell systems. Two days later at Goldman Sachs he forecast 70% revenue growth for 2027 — possibly over 100%. Here's what he actually said, what his stack looks like, and why a chip CEO's AGI call is different from a model lab's.
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