GPU comparison
RTX PRO 6000 vs H100: Specs, monthly price and which to rent
The RTX PRO 6000 Blackwell has more memory than an H100 (96 vs 80 GB) and FP4 Tensor Cores, for 40% less per month. The H100 has about twice the dense FP8 (1.98 vs 1.0 PF), twice the bandwidth (3.35 vs 1.6 TB/s) and NVLink between the 8 GPUs of a server, where RTX PRO 6000 cards talk over PCIe 5.0. Pick the RTX PRO 6000 for single-GPU inference up to 70B, image and video generation and rendering; the H100 for training and multi-GPU jobs.
- Updated Nov 4, 2026
- Specs: vendor datasheets, dense Tensor figures
- Prices: live CoreGPU catalog
| Spec | NVIDIA RTX PRO 6000 Blackwell Server Edition | NVIDIA H100 SXM |
|---|---|---|
| Architecture | Blackwell | Hopper |
| GPU memory | 96 GB GDDR7 | 80 GB HBM3 |
| Memory bandwidth | 1.6 TB/s | 3.35 TB/s |
| FP8 dense | 1 PF | 1.98 PF |
| FP4 dense | 2 PF | n/a |
| Interconnect | PCIe 5.0 x16 | NVLink 4 · 900 GB/s |
| Power (TDP) | 600 W | 700 W |
| Price per GPU / month | $1,199 | $1,999 |
| Price per GB of memory | $12.49 | $24.99 |
| Price per FP8 PFLOPS | $1,199 | $1,010 |
| Availability | 52 available | Only 3 left |
Green marks the better value on each line. Prices are per GPU per month at CoreGPU, at least 25% below the market median.
- Single-GPU inference up to 70B at FP8
- Image and video generation, rendering
- The lowest price for 96 GB per GPU
- Training and fine-tuning across 8 NVLink GPUs
- Memory-bound decoding at 3.35 TB/s
- Multi-GPU jobs that need fast GPU-to-GPU links
RTX PRO 6000 vs H100: monthly price by server size
| Server | RTX PRO 6000 | H100 | Difference |
|---|---|---|---|
| 1 GPU | $1,199/mo | $1,999/mo | $800 less on the RTX PRO 6000 |
| 2 GPUs | $2,398/mo | $3,998/mo | $1,600 less on the RTX PRO 6000 |
| 4 GPUs | $4,796/mo | $7,996/mo | $3,200 less on the RTX PRO 6000 |
| 8 GPUs | $9,592/mo | $15,992/mo | $6,400 less on the RTX PRO 6000 |
Flat monthly price per GPU, the same at every server size. USD, taxes excluded.
Largest model that fits in GPU memory
| Weights | 1× RTX PRO 6000 | 1× H100 | 8× RTX PRO 6000 | 8× H100 |
|---|---|---|---|---|
| BF16 | 40B | 33B | 320B | 266B |
| FP8 | 80B | 66B | 640B | 533B |
| FP4 | 160B | 133B | 1.3T | 1.1T |
Parameters whose weights fit with 20% headroom for activations and runtime. Long contexts and large batches need more room for the KV cache: see how much GPU memory you need.
More GPU comparisons
RTX PRO 6000 vs H100: common questions
Already a customer? Open a ticket from the console: engineers reply within one business day.
How support worksIs the RTX PRO 6000 faster than the H100?
On dense FP8 Tensor throughput the H100 is faster: 1.98 PF against 1 PF per GPU. Memory bandwidth is 1.6 TB/s on the RTX PRO 6000 and 3.35 TB/s on the H100, which matters most for LLM decoding.
How much does the RTX PRO 6000 cost per month compared with the H100?
At CoreGPU the RTX PRO 6000 is $1,199 and the H100 is $1,999 per GPU per month, so an 8-GPU server costs $9,592 or $15,992 a month. The RTX PRO 6000 is 40% cheaper per GPU. Both are at least 25% below the market median, billed monthly from a prepaid balance.
Which is better for LLM inference, the RTX PRO 6000 or the H100?
For large models and long contexts the RTX PRO 6000 has the edge with 96 GB of memory per GPU, so a model needs fewer GPUs. Choose the RTX PRO 6000 for single-GPU inference up to 70B at FP8; the H100 for training and fine-tuning across 8 NVLink GPUs.
Can I rent the RTX PRO 6000 and the H100 by the month?
Yes. Both are dedicated GPUs you rent by the month, from 1 to 8 per server, with root SSH access. Right now the RTX PRO 6000 is 52 available and the H100 is only 3 left. You pay in BTC, ETH, XMR, USDT (TRC-20) or SOL.