BTC
ETH
USDT
XMR
LTC
Pro & inference · Blackwell
NVIDIA RTX PRO 6000 servers
Blackwell with 96 GB of ECC GDDR7 per card, for serving, fine-tuning and rendering.
- 96 GBGDDR7 ECC per GPU
- 1.6 TB/smemory bandwidth
- PCIe Gen5 x16GPU interconnect
- 1–8 GPUsper server
Price per GPU · monthly
$959/mo
−31%Market median $1,380≈ $1.31 per GPU-hour
Below every on-demand list price we found
Server size
Deploy a RTX PRO 6000 serverOnline in under 10 min · no KYC · USD per server per month, prepaid · pay in BTC, ETH, USDT, XMR, LTC
Why rent the RTX PRO 6000.
CryptGPU rents dedicated NVIDIA RTX PRO 6000 servers with 1, 2, 4 or 8 GPUs at $959 per GPU per month (about $1.31 per GPU-hour), 31% below the market median, paid in Bitcoin, Ethereum, USDT, Monero or Litecoin with no KYC. The RTX PRO 6000 Blackwell is NVIDIA’s professional GPU for data centers and workstations. With 96 GB of ECC GDDR7 per card, FP4/FP8 tensor cores and RT cores, it covers LLM serving, QLoRA fine-tuning, diffusion, video and rendering at a much lower price than HBM GPUs.
- 96 GB of ECC memory
More memory per card than the H100, at about half the price.
- Blackwell FP4 and FP8
Modern low-precision inference.
- RT cores and video engines
Rendering and video pipelines as well as AI.
RTX PRO 6000 server prices, 1 to 8 GPUs.
Same price per GPU at every size. vCPU, DDR5 RAM and NVMe scale with the number of GPUs.
| Server | GPU memory | vCPU | RAM | NVMe | Market median | CryptGPU | Action |
|---|---|---|---|---|---|---|---|
| 1× RTX PRO 6000 | 96 GB | 24 | 180 GB | 1.92 TB | $959/mo | Configure 1× RTX PRO 6000 | |
| 2× RTX PRO 6000PCIe Gen5 x16 | 192 GB | 48 | 360 GB | 3.84 TB | $1,918/mo | Configure 2× RTX PRO 6000 | |
| 4× RTX PRO 6000PCIe Gen5 x16 | 384 GB | 96 | 720 GB | 7.68 TB | $3,836/mo | Configure 4× RTX PRO 6000 | |
| 8× RTX PRO 6000PCIe Gen5 x16 | 768 GB | 192 | 1,440 GB | 15.36 TB | $7,672/mo | Configure 8× RTX PRO 6000 |
NVIDIA RTX PRO 6000 specifications.
Figures from NVIDIA’s published specifications. Tensor figures are peak dense throughput unless marked otherwise.
GPU and memory
- Architecture
- Blackwell
- Edition
- Server Edition, passive PCIe card
- GPU memory
- 96 GB GDDR7 with ECC, 512-bit
- Memory bandwidth
- 1,597 GB/s
- GPU-to-GPU link
- None (PCIe 5.0 x16)
- Max power
- Up to 600 W, configurable
- Multi-Instance GPU
- Up to 4 instances of 24 GB
Tensor throughput (published)
- FP4
- 4 PFLOPS
- FP8
- 2 PFLOPS
- FP16 / BF16
- 1 PFLOPS
- TF32
- 234 TFLOPS
- FP32
- 120 TFLOPS
Cores and media
- CUDA cores
- 24,064
- Tensor Cores
- 752, 5th generation
- RT Cores
- 188, 4th generation
- Video engines
- 4 NVENC, 4 NVDEC, 4 NVJPG
Server, per GPU
- vCPU
- 24
- RAM
- 180 GB DDR5
- NVMe
- 1.92 TB
- GPUs per server
- 1, 2, 4, 8
Figures for the Server Edition. NVIDIA does not say whether its tensor figures for this edition use sparsity; the equivalent Workstation Edition figures do.
Sources: NVIDIA RTX PRO 6000 Server Edition
Which models fit on RTX PRO 6000 servers.
Smallest server that holds each model, by precision. Rule of thumb with headroom for the KV cache; long contexts and large batches need more.
| Model (total parameters) | FP16 | FP8 | 4-bit |
|---|---|---|---|
| Qwen3.5-9B | 1× | 1× | 1× |
| Gemma 4 31B | 1× | 1× | 1× |
| Llama 3.3 70B | 2× | 1× | 1× |
| gpt-oss-120b | 4× | 2× | 1× |
| DeepSeek-V4-Flash | 8× | 4× | 4× |
| Qwen3.5-397B-A17B | — | 8× | 4× |
| DeepSeek-R1 (671B) | — | — | 8× |
| Kimi K2.6 (1T) | — | — | 8× |
Estimate: FP16 ≈ 2.4 bytes, FP8 ≈ 1.2 bytes and 4-bit ≈ 0.65 bytes per parameter, with 92% of GPU memory usable. — = does not fit in the largest RTX PRO 6000 server. Several recent models ship natively in FP8 or 4-bit formats; the columns show what each precision needs. Try the sizing helper for other models and for fine-tuning, or see every open model and its VRAM.
RTX PRO 6000 rental prices across the market.
Monthly price per GPU. Public on-demand list prices collected on 23 Sep 2026; hyperscalers shown for reference only.
Per GPU, 730 hours a month. Hyperscalers (AWS, Google Cloud, Azure, Oracle) are excluded from the median. How we compare
RTX PRO 6000 vs similar GPUs.
- NVIDIA · Ada Lovelace L40S 48 GB GDDR6 ECC · 864 GB/s −48 GB −$170/mo $789/mo per GPU
- NVIDIA · Hopper H100 80 GB HBM3 · 3.35 TB/s −16 GB +$820/mo $1,779/mo per GPU
- NVIDIA · Blackwell RTX 5090 Hot 32 GB GDDR7 · 1.8 TB/s −64 GB −$630/mo $329/mo per GPU
Detailed comparisons: RTX PRO 6000 vs RTX 5090 · RTX PRO 6000 vs H100 · RTX PRO 6000 vs L40S
From the blog: Self-hosted AI coding assistant: a private Copilot on your GPU server · Best GPU for Stable Diffusion, Flux and AI video in 2026 · GPU VPS vs dedicated GPU server: what you actually get
RTX PRO 6000 rental FAQ.
More in the full FAQ.
How much does it cost to rent an RTX PRO 6000 per month?
At CryptGPU, the RTX PRO 6000 costs $959 per GPU per month, about $1.31 per GPU-hour over 730 hours and 31% below the market median of $1,380. A server with 8 GPUs costs $7,672 a month. The price is fixed for the paid month: no hourly metering, no setup fee.
Can I pay for an RTX PRO 6000 server with Bitcoin or Monero, without KYC?
Yes. Every CryptGPU server is paid in crypto: BTC, ETH, USDT, XMR or LTC (USDT on Tron or Ethereum). There is no KYC: no ID documents, no selfie. Your server is online in under 10 minutes once the payment is confirmed on-chain. Paying with crypto
RTX PRO 6000 or H100?
The RTX PRO 6000 has more memory (96 GB vs 80 GB) and costs about half as much; the H100 has far more bandwidth, NVLink and faster training. For inference and fine-tuning the RTX PRO 6000 is often the better value.
Can it fine-tune a 70B model?
With QLoRA, yes: about 53 GB by our rule of thumb, well within 96 GB.
How many per server?
1, 2, 4 or 8 cards.
Build your RTX PRO 6000 server.
Choose 1 to 8 GPUs and pay the first month in crypto. $959 per GPU, the same at every size.