80 GB
GPU memory class for demanding models and accelerated workloads.
NVIDIA H100 GPU cloud.
Ready for serious AI.
NVIDIA H100 GPU cloud compute for LLM inference, model training and high-throughput AI workloads. BurstDock gives you one workspace for deployment, lifecycle control, usage and customer pricing.
Hopper
Architecture generation and product family.
Clear availability
See available configurations and pricing when you deploy.
01 / FITChoose compute for the workload.
Where NVIDIA H100
fits.
NVIDIA H100 is a strong option for LLM inference, model training and high-throughput AI workloads. The right configuration still depends on model size, precision, context length, batching and the rest of your stack.
- Compare GPU and VRAM before deployment
- See region and configuration availability
- Manage lifecycle and usage in BurstDock
- See pricing before you deploy
02 / RELATED GPU CLOUDCompare adjacent accelerator classes.
NVIDIA H200 GPU cloud
Compare NVIDIA H200 for AI inference, training and accelerated compute.
NVIDIA B200 GPU cloud
Compare NVIDIA B200 for AI inference, training and accelerated compute.
NVIDIA A100 GPU cloud
Compare NVIDIA A100 for AI inference, training and accelerated compute.
BENCHMARKS / NO INVENTED NUMBERS
Measure the workload that matters.
Generic benchmark scores rarely predict your exact AI workload. BurstDock’s benchmark methodology focuses on reproducible model-serving and compute tests and publishes measured results only after they have been run.
View benchmark methodology