Compare NVIDIA B300 and H200 SXM for model memory, bandwidth, AI precision, power and deployment fit.
NVIDIA Server GPU ComparisonSpecifications · workload fit · sizing guidanceStart with the fit. Then look at the details.
Proven HGX accelerator for large-model inference, training and HPC workloads requiring strong FP8 and FP64 performance.
Compare capabilities, costs and support at a glance.
| YOUR CHECKLISTWhat matters to you | OPTION 01NVIDIA B300GPU Servers | OPTION 02NVIDIA H200 SXMHopper GPU |
|---|---|---|
| 01Primary purpose | Confirm during consultation | Proven HGX accelerator for large-model inference, training and HPC workloads requiring strong FP8 and FP64 performance. |
| 02Service family | GPU Servers | Hopper GPU |
| 03Starting price | Pre-book on quote | Available on quote |
| 04Key capability 1 | 288 GB HBM3e | 141 GB HBM3e |
| 05Key capability 2 | 8 TB/s memory bandwidth | 4.8 TB/s memory bandwidth |
| 06Key capability 3 | NVLink 5 at 1.8 TB/s | NVLink at 900 GB/s |
| 07Key capability 4 | Up to 1,400 W | Up to 700 W |
| 08Support model | 24×7 support in English and Hindi | 24×7 support in English and Hindi |
| 09Commercial model | INR billing with GST invoice | INR billing with GST invoice |
The deciding factors are workload fit, migration effort, integrations, support ownership and total operating cost. Talk through your requirements with our team.
