NVIDIA A100, mentioned 4 times across podcast episodes and expert conversations analyzed by Sonic.
The training cluster for GPT-4 was rumored to consist of 25,000 NVIDIA A100 GPUs, cost approximately $500 million to build, and consumed roughly 10 megawatts of power.
The Flash Attention kernel provides a 2x to 4x speedup for the attention layer compared to a standard PyTorch implementation on an NVIDIA A100 GPU.
A study by Silicon Data and Jefferson Lab published at the GPGPU conference found a 38% performance variance among identical NVIDIA A100 40GB GPUs.