141 GB
GPU memory class for demanding models and accelerated workloads.
NVIDIA H200 GPU cloud.
Ready for serious AI.
NVIDIA H200 GPU cloud compute for memory-intensive LLM inference, large models and training 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 H200
fits.
NVIDIA H200 is a strong option for memory-intensive LLM inference, large models and training 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 H100 GPU cloud
Compare NVIDIA H100 for AI inference, training and accelerated compute.
NVIDIA B200 GPU cloud
Compare NVIDIA B200 for AI inference, training and accelerated compute.
NVIDIA B300 GPU cloud
Compare NVIDIA B300 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