A 35B VLM outperforming Claude Opus and GPT-5 on quantum calibration, open-sourced Apache 2.0 — NVIDIA is running the CUDA playbook for quantum: give away the models, sell the GB300 GPUs they require for 2.33μs real-time decoding. Every quantum lab that adopts Ising gets locked into the NVIDIA stack from classical compute straight through to error correction. For crypto, this compresses the timeline hard — AI-driven calibration cutting processor tuning from days to hours means cryptographically-relevant machines arrive faster, and most L1s haven't even started their post-quantum migration.

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