The full training of DeepSeek-V3’s 671B parameters is claimed to have only taken 2.788 M hours on NVidia H800 (Hopper-based) GPUs, which is almost a factor of ten less than others. Naturally ...
In December, the Hangzhou-based AI startup released DeepSeek-V3, a model it said cost just $5.6 million to train and develop on Nvidia’s reduced-capability H800 chips. Earlier this month ...
🚀 Day 6 of #OpenSourceWeek: One More Thing – DeepSeek-V3/R1 Inference System Overview Optimized throughput and latency via: During peak daytime hours, its Nvidia H800 chips focus on inference ...
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