H200 SXM5 vs RTX PRO 6000 Blackwell
NVIDIA H200 SXM5 (Hopper, 141 GB) against NVIDIA RTX PRO 6000 Blackwell (Blackwell, 96 GB): memory, compute, power and rental price, compared for LLM inference and training.
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Side-by-Side Specifications
| Spec | H200 SXM5 | RTX PRO 6000 Blackwell |
|---|---|---|
| Architecture | Hopper | Blackwell |
| Memory | 141 GB HBM3e | 96 GB GDDR7 |
| Memory bandwidth | 4,800 GB/s | 1,792 GB/s |
| FP16 tensor compute | 1,979 TFLOPS | 1,000 TFLOPS |
| INT8 tensor compute | 3,958 TOPS | 2,000 TOPS |
| Interconnect | NVLink 4.0 · 900 GB/s | PCIe 5.0 · 128 GB/s |
| TDP | 700 W | 600 W |
| Est. on-demand price | ~$10.00/h | ~$5.00/h |
| FP16 TFLOPS per $/h | 198 | 200 |
Highlighted values indicate the stronger spec. Hourly rates are indicative on-demand estimates.
Verdict
Raw performance: The H200 SXM5 leads on FP16 tensor compute (2.0x advantage), which translates directly into higher token throughput for inference and shorter training steps.
Memory: With 141 GB per card, the H200 SXM5 fits larger models on fewer GPUs — fewer cards means less inter-GPU communication and simpler deployments.
Value: At current on-demand rates, the RTX PRO 6000 Blackwell delivers more compute per dollar (200 vs 198 FP16 TFLOPS per $/h). If your model fits in its VRAM budget, it is usually the more economical choice.
GPUs Needed for Popular LLMs
Cards required to serve each model at 8-bit quantization (with 20% overhead for activations and KV cache).
| Model | VRAM (8-bit) | H200 SXM5 | RTX PRO 6000 Blackwell |
|---|---|---|---|
| GPT-5.6 Sol | 2682 GB | 20x | 28x |
| DeepSeek V4 Pro (671B) | 750 GB | 6x | 8x |
| Muse Spark 1.1 | 335 GB | 3x | 4x |
| Claude 5 Sonnet (175B) | 196 GB | 2x | 3x |
| Nova Premier (80B) | 89 GB | 1x | 1x |
| Nova Core (34B) | 38 GB | 1x | 1x |
| Nova Lite (12B) | 13 GB | 1x | 1x |
| Phi 3.5 (3.8B) | 4 GB | 1x | 1x |
Frequently Asked Questions
Which is better for LLM inference: H200 SXM5 or RTX PRO 6000 Blackwell?
The H200 SXM5 delivers more raw FP16 compute (1,979 TFLOPS) and the H200 SXM5 offers the most memory per card (141 GB). For cost-efficiency, the RTX PRO 6000 Blackwell currently gives more FP16 TFLOPS per dollar of on-demand rental (200 vs 198 TFLOPS per $/h).
How much more memory does the H200 SXM5 have?
The H200 SXM5 has 141 GB of HBM3e versus 96 GB of GDDR7 for the RTX PRO 6000 Blackwell — a ratio of 1.47x in favor of the H200 SXM5. More VRAM per card means fewer GPUs to fit a given model.
Is the H200 SXM5 or the RTX PRO 6000 Blackwell cheaper to rent?
Estimated on-demand rates are ~$10.00/h for the H200 SXM5 and ~$5.00/h for the RTX PRO 6000 Blackwell. Raw hourly price is only part of the story: normalize by throughput (TFLOPS per $/h) and by how many cards you need for your model's VRAM.
How do the H200 SXM5 and RTX PRO 6000 Blackwell compare on power?
The H200 SXM5 has a TDP of 700W versus 600W for the RTX PRO 6000 Blackwell. FP16 compute per watt: 2.8 vs 1.7 TFLOPS/W.
Deploy on a GPU cloud
Rent the H200 SXM5 or RTX PRO 6000 Blackwell by the hour instead of buying hardware.
