One hour
$5.98
1 GPU × 1h · compute only
Blackwell data center GPU
NVIDIA B200 is a Blackwell accelerator with 180 GB of HBM3e for frontier training and high-throughput inference. GPURento lists it from $5.98 per GPU-hour with self-service creation in Paris and Frankfurt after the wallet is funded.
Reviewed by the GPURento infrastructure team · September 1, 2026
Cost scenarios
One hour
$5.98
1 GPU × 1h · compute only
One day
$143.52
1 GPU × 24h · compute only
Seven days
$1004.64
1 GPU × 168h · compute only
Average month · 730h
$4365.40
1 GPU × 730h · compute only
| Memory | 180 GB HBM3e | Configuration documented in the NVIDIA HGX reference. |
|---|---|---|
| Architecture | Blackwell | Newer data center generation than Hopper. |
| On-demand rate | $5.98 / GPU-hour | Public entry rate aligned with the competitor market. |
| Available regions | Paris · Frankfurt | Selectable directly from the funded dashboard. |
Decision method
The content below separates published specifications, GPURento catalog references and decisions that still require a workload benchmark.
A Blackwell migration should be validated against your framework, kernels, precision and parallelism strategy. Peak specifications do not predict end-to-end job time when data loading, collectives or unsupported kernels dominate.
For multi-GPU B200 work, host memory, storage throughput, network fabric and GPU topology are part of the product. Record GPU count, model size, checkpoint cadence, dataset location and deadline before deployment.
The B200 catalog card exposes the $5.98 hourly entry rate and both EU regions. Funding the wallet unlocks creation directly from the dashboard.
Catalog shortlist
180 GB HBM3e · $5.98/hr
Frontier training and inference
141 GB HBM3e · $3.59/hr
Large-model inference and HPC
80 GB HBM3 · $2.69/hr
Intensive training and FP8 inference
Questions
Yes. The funded dashboard exposes B200 at $5.98 per GPU-hour in Paris and Frankfurt.
The B200 configuration referenced on this page has 180 GB of HBM3e memory.
Use B200 when Blackwell changes the economics or memory fit enough to justify its higher hourly price and migration work. H200 can remain more economical for memory-bound Hopper stacks.
Last reviewed September 1, 2026. GPURento rates are current catalog references; provisioning state remains visible in the workspace, and manufacturer specifications do not substitute for workload benchmarks.
Continue the research
Deployment plan
Choose the model topology, storage, region and container after funding the workspace.