NVIDIA H100 SXM5 80GB vs NVIDIA H100 NVL 94GB

The H100 NVL 94GB is the newer part: Hopper, launched in 2023, against the H100 SXM5 80GB's Hopper from 2022. Newer architectures typically add lower-precision formats and better throughput per watt, so check the precision rows your workload actually uses.

Dense throughput for the H100 SXM5 80GB against the H100 NVL 94GB: FP64 34 vs 30 TFLOPS, FP32 67 vs 60 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.

Memory is 80 GB against 94 GB, fed at 3.4 TB/s versus 3.9 TB/s. More memory per GPU means larger models fit before you have to shard across cards, which often matters more than raw TFLOPS for inference.

Power budgets are 700 W for the H100 SXM5 80GB and 400 W for the H100 NVL 94GB. At FP32 that works out to 0.10 against 0.15 TFLOPS per watt.

For LLM training and inference, weight the FP8 and FP16 rows and memory capacity most heavily. For scientific and HPC workloads, the FP64 row is the one to read.