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GPU comparison · Blackwell vs Hopper
NVIDIA RTX PRO 6000 vs H200.
The Blackwell RTX PRO 6000 Server Edition against the Hopper H200. Dense FP8 and BF16 throughput is about the same on paper. The H200 has 141 GB of HBM3e, three times the memory bandwidth (4.8 against 1.6 TB/s) and NVLink; the RTX PRO 6000 has 96 GB of GDDR7 with ECC, FP4 tensor cores and costs $959 against $2,279 per GPU per month.
- 96 vs 141 GBGPU memory
- 1.6 vs 4.8 TB/smemory bandwidth
- $959 vs $2,279per GPU, per month
RTX PRO 6000 vs H200: which one to rent.
Choose the RTX PRO 6000 if
- Your model fits in 96 GB per GPU: a 70B-class model in FP8 (about 84 GB) on one card.
- You run FP4 checkpoints: the RTX PRO 6000 has FP4 tensor cores, Hopper GPUs do not.
- You want the lower price per GB of GPU memory: $9.99 against $16.16 a month.
Choose the H200 if
- Token generation is bound by memory bandwidth in your workload: 4.8 TB/s against 1.6 TB/s.
- Your model needs more than 96 GB per GPU: 141 GB holds about 108B parameters in FP8 by our sizing rule.
- You train across several GPUs: the H200 has NVLink (900 GB/s between GPUs), the RTX PRO 6000 connects over PCIe.
RTX PRO 6000 vs H200 specs, side by side.
Figures from NVIDIA’s published specifications, per GPU. Tensor figures are peak dense throughput.
| Per GPU | NVIDIA RTX PRO 6000 | NVIDIA H200 | H200 / RTX PRO 6000 |
|---|---|---|---|
| Architecture | Blackwell | Hopper | — |
| Form factor | Server Edition, passive PCIe card | SXM module | — |
| GPU memory | 96 GB GDDR7 with ECC, 512-bit | 141 GB HBM3e | 1.47× |
| Memory bandwidth | 1,597 GB/s | 4.8 TB/s | 3× |
| GPU-to-GPU link | None (PCIe 5.0 x16) | NVLink 4, 900 GB/s per GPU | — |
| FP4 tensor (dense) | 4.0 PFLOPS | Not supported | — |
| FP8 tensor (dense) | 2,000 TFLOPS | 1,979 TFLOPS | Same |
| FP16 / BF16 tensor (dense) | 1,000 TFLOPS | 989 TFLOPS | Same |
| FP64 | — | 34 / 67 TFLOPS | — |
| Max power | Up to 600 W, configurable | Up to 700 W, configurable | — |
| GPUs per server | 1, 2, 4, 8 | 1, 2, 4, 8 | — |
| Per GPU in our servers | 24 vCPU · 180 GB RAM · 1.92 TB | 24 vCPU · 256 GB RAM · 3.84 TB | — |
NVIDIA does not say whether its RTX PRO 6000 Server Edition tensor figures use sparsity. Sources: NVIDIA RTX PRO 6000 Server Edition · NVIDIA H200. Full sheets: RTX PRO 6000 · H200
RTX PRO 6000 vs H200 rental price.
At GPUCenter, the RTX PRO 6000 rents for $959 and the H200 for $2,279 per GPU per month, 30% below the market median of public on-demand prices, paid in crypto with no KYC. Hourly figures are the monthly price divided by 730 hours.
| GPUCenter | NVIDIA RTX PRO 6000 | NVIDIA H200 | H200 / RTX PRO 6000 |
|---|---|---|---|
| Price per GPU, per month | $959 | $2,279 | 2.4× |
| Equivalent per GPU-hour | $1.31 | $3.12 | — |
| Per GB of GPU memory, per month | $9.99 | $16.16 | 1.62× |
| Per PFLOPS of dense FP8, per month | $480 | $1,152 | 2.4× |
| Largest server | 8× · $7,672/mo | 8× · $18,232/mo | — |
| Market median, per GPU | $1,380 | $3,259 | — |
| Below the median | −31% | −30% | — |
Same price per GPU at every server size, no hourly metering. How we compare prices · Configure an RTX PRO 6000 server · Configure a H200 server
Which models fit on each.
Smallest server that holds each model, by precision. Rule of thumb with headroom for the KV cache, 92% of GPU memory usable.
| Model (total parameters) | RTX PRO 6000 · FP8 | H200 · FP8 | RTX PRO 6000 · 4-bit | H200 · 4-bit |
|---|---|---|---|---|
| Qwen3.5-9B | 1× | 1× | 1× | 1× |
| Gemma 4 31B | 1× | 1× | 1× | 1× |
| Llama 3.3 70B | 1× | 1× | 1× | 1× |
| gpt-oss-120b | 2× | 2× | 1× | 1× |
| DeepSeek-V4-Flash | 4× | 4× | 4× | 2× |
| Qwen3.5-397B-A17B | 8× | 4× | 4× | 2× |
| DeepSeek-R1 (671B) | — | 8× | 8× | 4× |
| Kimi K2.6 (1T) | — | — | 8× | 8× |
FP8 ≈ 1.2 bytes and 4-bit ≈ 0.65 bytes per parameter. — = larger than the biggest server of that GPU. Size another model · How much VRAM does an LLM need?
RTX PRO 6000 vs H200 FAQ.
More on each GPU: NVIDIA RTX PRO 6000 · NVIDIA H200.
Is the H200 faster than the RTX PRO 6000?
For compute-bound work the two are close on paper: about 2,000 TFLOPS of dense FP8 on each. The H200 is faster where memory limits the work, as in LLM token generation, with 4.8 TB/s against 1.6 TB/s, and across several GPUs thanks to NVLink. We do not publish benchmarks.
How much more does an H200 cost to rent?
Per GPU per month, $2,279 against $959. Per GB of GPU memory the RTX PRO 6000 is cheaper: $9.99 against $16.16 a month.
Can a 70B model run on one RTX PRO 6000?
Yes in FP8: it needs about 84 GB by our rule of thumb and the card has 96 GB. One H200 holds it too, with more room left for the KV cache.
Other GPU comparisons.
Rent the RTX PRO 6000 or the H200.
Dedicated servers with 1 to 8 GPUs, one monthly price, paid in crypto. Online in under 10 minutes, no KYC.