Unverified70% confidenceFactTime unknown
Meta's Llama 3 training used more than 16,000 H100 GPUs.
2
Sources
70%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedMeta此前已大量投资NVIDIA GPU用于模型训练72% similarVerifiedThe H100 GPU adopts NVIDIA's Hopper architecture, with a single-card peak compute of 3,958 TFLOPS (FP16 precision).70% similarUnverifiedGrok 4.5 is based on the all-new V9 base model, with parameters reaching 1.5 trillion—three times those of the previous-generation V8—and was trained using tens of thousands of NVIDIA GB300 GPUs.70% similarUnverifiedDreamDojo was trained using 256 H100 GPUs.66% similarUnverifiedThe NVIDIA GB300 GPU is the flagship model of the Blackwell architecture, integrating dual B200 GPU chips with a Grace CPU, delivering approximately 4x the FP8 training throughput compared to the H100.66% similar
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