NVIDIA H100

The H100 starts at $1.30 per GPU-hour, with a median of $3.36 across 68 available configurations. Actual pricing depends on the provider, region, and whether you rent on-demand, spot or reserved.

21 providers currently list the H100: Runpod, Daytona, Oblivus, Geodd, Scaleway, Verda and 15 more. Compare their hourly pricing, regions and machine specs in the table above.

The H100 comes with 80 GB of VRAM, which determines the largest models and batch sizes it can hold in memory for training and inference.

With 80 GB of VRAM, a single H100 can serve models such as gpt-oss-120b, Qwen3.6 35B-A3B, Qwen3 32B, Gemma 4 31B. The table above lists the estimated VRAM for each model at 16-bit, 8-bit and 4-bit precision, including the multi-GPU configurations needed for larger models.

The largest models we track that fit across several H100 cards are GLM-5.2 on 8 GPUs at 4-bit, DeepSeek R1 on 8 GPUs at 4-bit, DeepSeek V4 Flash on 4 GPUs at 4-bit. A multi-GPU configuration means you rent and pay for every card for the whole run, and splitting a model across cards costs throughput as well: the GPUs exchange activations on every token, so performance depends on how fast they are wired together. We do not track interconnect, so check the provider's node specification. The table above gives the smallest configuration for each model at 16-bit, 8-bit and 4-bit precision.

The lowest on-demand price we currently track for the H100 is $1.30 per GPU-hour at Lium. Because providers update pricing and availability frequently, check the live table above before you launch.