Right-Sizing AI Training with NVIDIA A100 & A40 on CoreWeave

This post provides a comparative analysis of NVIDIA A100 and A40 GPUs for AI training workloads. It details performance benchmarks, specifically mentioning a 20B parameter model training time on A100s versus A40s, and estimates a 30% cost saving by right-sizing to A40s. It also highlights the technical specifications of both GPUs, including CUDA cores, Tensor Cores, memory, and bandwidth, and discusses CoreWeave's large inventory of A40 GPUs and their NVLink capabilities for increased interconnect bandwidth. The post also touches on A100's ability to be partitioned into seven GPU instances and its unified memory for large models.