H100
A widely deployed accelerator for large-model training and high-throughput inference.
- Memory
- 80 GB HBM3
- Architecture
- Hopper
- Sample listings
- 5 across 5 providers
Shortlist cloud accelerators by VRAM, architecture, published hourly rate, and available provider configurations. Every price below is a labeled sample, normalized to USD per physical GPU-hour.
Sticker price is only the first filter. Open a model page to compare node size, CPU and RAM allocation, location, rental terms, availability, and the total hourly commitment.
A widely deployed accelerator for large-model training and high-throughput inference.
A high-memory Hopper accelerator suited to larger contexts and memory-bound inference.
A Blackwell datacenter GPU for frontier training and dense inference clusters.
A mature training and inference option with broad cloud availability.
A flexible accelerator for inference, rendering, and multimodal workloads.
A cost-focused option for smaller inference jobs, image generation, and experimentation.
Model weights, context length, batch size, optimizer state, and parallelism determine memory demand. Once the workload fits, compare the delivered node rather than the GPU label alone.
RTX 4090 and L40S listings can suit smaller models, image generation, development, and throughput-focused inference.
A100 80GB and H100 are common comparison points for training, fine-tuning, and larger production inference.
H200 and B200 reduce memory pressure for large weights, long contexts, and memory-bound inference pipelines.
The hourly cost depends on the accelerator, node configuration, region, and purchase model. The sample offers in this preview range from budget single-GPU listings to multi-GPU datacenter nodes; use each model page for a normalized per-GPU comparison.
Use the per-GPU rate to compare accelerator cost, then check total node price before budgeting. A low normalized rate on an eight-GPU node can still require a much larger hourly commitment.
Not yet. This preview has no verifiable B300 rental offer, so RackRate does not publish an estimated price. The model will be added when a source-backed listing is available.
Carry the node, region, purchase model, and hidden costs into the decision—not only the accelerator name.