← Back to News
Article • Oct 31, 2024

Phala Network Study Shows TEE Impact on NVIDIA Hopper GPUs for LLM Tasks

Phala Network
Phala Network Study Shows TEE Impact on NVIDIA Hopper GPUs for LLM Tasks
Summary
  • TEE mode affects H100 and H200 GPUs differently, with lower impact on core computations and main bottleneck being data transfer between CPU and GPU.
  • TEE incurs under 7% performance overhead for typical LLM tasks, with overhead decreasing further for larger models and longer sequences.

Source: https://phala.com/posts/nvidia-tee-gpu-h200-delivers-high-performance-for-decentrazlied-ai

📣 Related news

Loading news...

💼 DePIN Hub Newsletter

We bring you real world use cases of web3 through DePIN. And btw, you can generate passive income along the way!

Phala Network Study Shows TEE Impact on NVIDIA Hopper GPUs for LLM Tasks | DePIN Hub