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% similarUnverifiedBeam's post-training RL training ran for four weeks on 10,500 NVIDIA GB300 GPUs, generating over 100 million rollouts.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% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/21220API
curl https://kongchang.com/api/v1/knowledge/claims/21220MCP
get_claim(id=21220)