DeepSeek
The lab that shook the market: frontier results at a fraction of the compute.
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Spun from quant fund High-Flyer by Liang Wenfeng, DeepSeek trained V3 on a 2,048-H800 cluster for a disclosed ~$5.6M final-run cost, then released the R1 reasoning model openly in January 2025 — triggering a ~$600B one-day fall in NVIDIA's market value as investors re-priced compute efficiency. Its open-weights MoE releases remain the benchmark for engineering under export-control constraints.
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Record reviewed as of 2026-01-15 — see Methodology.