B200 SXM
nvidia · blackwell · 180 GB HBM3e · 1000W TDP
VRAM
180 GB
BF16 TFLOPS
2250
Bandwidth
8000 GB/s
From
$4.49/hr
Spec Sheet
Pricing by Provider
| Provider | On-Demand | Reserved | Spot | Badge |
|---|---|---|---|---|
| lambda | $5.99/hr | $4.49/hr | - | Cheapest |
| coreweave | $7.50/hr | $5.50/hr | - | |
| runpod | $7.20/hr | - | - |
Compatible Models (280)
Single GPU (248 models)
Multi-GPU (32 models)
Training Capabilities
Estimated GPU count for full fine-tuning (AdamW, BF16) and QLoRA
| Model Size | Full Fine-Tune | QLoRA |
|---|---|---|
| 7B model | 1 GPU | 1 GPU |
| 13B model | 2 GPUs | 1 GPU |
| 70B model | 8 GPUs | 1 GPU |
Energy Efficiency
Estimated tokens/second per Watt for popular models
Similar GPUs
| GPU | VRAM | BF16 TFLOPS | BW (GB/s) | From |
|---|---|---|---|---|
| B100 SXM | 192 GB | 1750 | 8000 | $4.50/hr |
| GB200 NVL72 (per GPU) | 192 GB | 2250 | 8000 | $6.50/hr |
| GB300 NVL72 (per GPU) | 192 GB | 2500 | 8000 | $7.50/hr |
| B300 | 288 GB | 2800 | 12000 | $0.00/hr |
| RTX 5090 | 32 GB | 210 | 1792 | $0.89/hr |
Methodology Note
Performance estimates for the B200 SXMare based on InferenceBench's roofline performance model with CUDA kernel-level optimization including FlashAttention v2 and PagedAttention. Memory calculations account for model weights (180 GB HBM3e available), KV-cache allocation, and activation memory. Throughput predictions use the B200 SXM's rated 8000 GB/s memory bandwidth and 2250 BF16 TFLOPS compute capacity as roofline ceilings, with empirical correction factors per GPU architecture (blackwell). See our full methodology.
Frequently Asked Questions
How many AI models can run on B200 SXM?
The B200 SXM can run 280 AI models from our database within a single node. Compatible models range across various parameter sizes depending on the quantization precision (BF16, FP8, INT4). Smaller models fit on a single GPU while larger models may require multi-GPU setups up to 8x B200 SXM.
What is the B200 SXM inference throughput?
The B200 SXM delivers 2250 BF16 TFLOPS and 4500 FP8 TFLOPS with 8000 GB/s memory bandwidth. Actual inference throughput (tokens/sec) depends on the model size, precision, and batch size. Use our calculator for model-specific throughput estimates.
How much does B200 SXM cost per hour?
The B200 SXM is available starting from $4.49/hour via lambda. Prices vary by provider and pricing tier (on-demand, reserved, spot). Compare pricing across all providers in the table above.