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Applied AI·June 28, 2026·1 min read

Show HN: NanoEuler – GPT-2 scale model in pure C/CUDA from scratch

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A GPT‑2 scale model in pure C/CUDA is another data point that core LLM capability is becoming a systems programming problem, not just a Python/ML stack. If you run performance- or security-sensitive workloads, start mapping where lean, self-hosted models could replace heavier, opaque stacks.

Applied AI

1.58-million-staff Amazon will soon have more Nvidia GPUs than employees — AWS to buy more than 3 million additional chips before 2029 in addition to thousands of existing H100, H200

Ordering more than 3 million additional Nvidia GPUs — on top of near-fully-subscribed Trainium3 — is Amazon treating AI compute as a multi-year utility buildout, not a discretionary cloud SKU. If you’re betting on at-scale training or inference, assume hyperscaler capacity will exist but economics and prioritization will be the constraint you negotiate around.