Blackwell · workstation-class GPU
Rent a dedicated NVIDIA RTX PRO 6000 Blackwell server for $749 a month
The RTX PRO 6000 Blackwell is the largest-memory workstation-class GPU NVIDIA makes: 96 GB of GDDR7 with ECC at 1.6 TB/s, fifth-generation tensor cores with FP4, and fourth-generation RT cores. It puts a 70B model at FP8 on one card — with full NVIDIA RTX driver support for rendering, simulation and Windows — at a monthly price closer to an A100 than to an H100. Dedicated bare metal with 16 vCPU, 128 GB of RAM and 2 TB of NVMe.
- Per GPU, per month$749$1.03/h effective · fixed for your term
- Same GPU, hourly on-demand$1,606market median $2.20/h × 730 h
- You keep−53%$857 a month, every month
Specification
NVIDIA RTX PRO 6000 Blackwell server specifications
One dedicated machine, sized around the GPU. Nothing is shared, nothing is metered, and every line below is included in the monthly price.
Why teams rent the RTX PRO 6000 here
- 96 GB GDDR7 with ECC. More memory than an H100 or an A100 — enough for 70B-class inference at FP8, or the largest scenes and simulations without paging.
- RTX and CUDA on one card. Fourth-generation RT cores for path-traced rendering, fifth-generation tensor cores with FP4 for AI — with the professional driver stack.
- Windows Server available. The only class of GPU we offer with Windows Server 2022/2025 images, for DCC tools and simulation suites that need it.
- One flat invoice. $749 a month covers the GPU, the host, the NVMe, 20 TB of transfer and 24/7 support — the same number every month, fixed for your term.
Below about 340 hours of use a month, an hourly provider is the cheaper way to run this GPU. Above it — and a machine that trains, serves or renders is above it — the monthly rate wins, and the gap is the $857 shown above.
Pricing
RTX PRO 6000 price per month, by term
Per GPU, in USD, excluding VAT. Longer terms cost less; every term includes the same dedicated host, network and support.
| Term | Per GPU, per month | Effective hourly | vs on-demand | Order |
|---|---|---|---|---|
| MonthlyRolling month-to-month. Cancel with 30 days' notice. | $749 | $1.03/h | −53% | Deploy |
| 3 months5% off the monthly rate for a 3-month term. | $712 | $0.98/h | −56% | Deploy |
| 6 months10% off the monthly rate for a 6-month term. | $674 | $0.92/h | −58% | Deploy |
| 12 months15% off the monthly rate for a 12-month term. | $637 | $0.87/h | −60% | Deploy |
On-demand comparison: market-median published hourly rate for the same GPU ($2.20/h) over 730 hours. Block storage $25/TB/month and extra IPv4 addresses $4/month are optional add-ons.
Market comparison
RTX PRO 6000 rental price compared
Every provider in our audit that publishes a price for the RTX PRO 6000, read on 15 October 2026 from their own pricing page: hourly rates multiplied by 730 hours — what the same GPU costs kept for a month — and monthly prices as listed.
| Provider | Published rate, RTX PRO 6000 | One month, 24/7 | vs our $749/mo |
|---|---|---|---|
| $749 per month, flat | $749 | Our reference | |
| $5.50–$6.38/h for a 1-GPU RTX PRO 6000 v6 virtual machine | $4,015 | −81% | |
| $4.50/h for g4-standard-48 (1× RTX PRO 6000) | $3,285 | −77% | |
| $3.36/h for g7e.2xlarge (1× RTX PRO 6000) | $2,453 | −69% | |
| €2,190/mo ($2,443) — 1× RTX PRO 6000, bare metal | $2,443 | −69% | |
| $20.00/h per 8-GPU RTX PRO 6000 node — $2.50 per GPU-hour | $1,825 | −59% | |
| $2.49/h Secure Cloud · $1.69 Community | $1,818 | −59% | |
| $2.30/h on demand · $1.15 spot | $1,679 | −55% | |
| $2.19/h | $1,599 | −53% | |
| $2.19/h on demand · $1.15 spot | $1,599 | −53% | |
| $1.85/h on demand · $1.48 spot · from $1.30 reserved | $1,351 | −45% | |
| $1.80/h on demand · spot from $0.79 | $1,314 | −43% | |
| €999/mo ($1,199) — GEX63, RTX PRO 6000 Blackwell Max-Q, plus a $1,199 setup fee | $1,199 | −38% | |
| median $1.43/h, Server Edition (15 Oct) · from $1.27 | $1,044 | −28% | |
| CA$1,142.10/mo ($804) — 1× RTX PRO 6000 Blackwell, Montreal | $804 | −7% | |
| Market median30–40 providers, GetDeploying index | $2.20/h on demand | $1,606 | −53% |
Rates are each provider's standard on-demand tier for the RTX PRO 6000 — not spot, preemptible or community hardware — or its listed monthly price where it publishes one, as printed on their pricing page on 15 October 2026; each row links to the full comparison with its source. Where a provider is cheaper than us for a full month, the row says so. Method and caveats: GPU cloud alternatives; every GPU at a glance: GPU cloud pricing.
Workloads
What people run on an RTX PRO 6000
96 GB inference & rendering — and the three jobs below are where a dedicated RTX PRO 6000 at a flat monthly price earns its keep.
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Rendering and visualisation
Octane, Redshift, V-Ray GPU, Blender Cycles and Unreal path tracing with 96 GB of scene memory and full RTX support.
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Large-model inference without HBM prices
70B-class models at FP8 or 4-bit on a single GPU, for endpoints where cost per month matters more than peak throughput.
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Simulation and digital twins
CFD, FEA, Omniverse and synthetic-data pipelines that mix rasterisation, ray tracing and CUDA on one workstation-class card.
Is the RTX PRO 6000 the right GPU for you?
Choose the RTX PRO 6000 when you need more than 48 GB with RTX features, Windows or the professional driver — or 96 GB of inference memory at a workstation price. For pure training throughput the H100 SXM and its HBM are faster; for rendering that fits in 32 GB, the RTX 5090 costs far less.
Recommended for rendering & simulation — the sizing guide there shows what fits in 96 GB GDDR7 ECC.
Compare the RTX PRO 6000 side by side with the cards people weigh it against — specifications, price per GB and the model sizes that fit — or check what your own model needs with the GPU memory calculator.
At FP8 with an 8k context, one RTX PRO 6000 runs these open models on its own — each page has the memory by context length and the fine-tuning needs:
RTX PRO 6000 rental: questions answered
How much does it cost to rent a RTX PRO 6000 server?
$749 a month, flat, for a dedicated NVIDIA RTX PRO 6000 Blackwell server with 16 vCPU · 128 GB RAM · 2 TB NVMe and a 10 Gbps uplink — $1.03 per hour effective over 730 hours. A 3-, 6- or 12-month term takes 5%, 10% or 15% off: $712, $674 or $637 a month. The market-median on-demand rate for the same GPU is $2.20 per hour, about $1,606 for a full month.
Is the RTX PRO 6000 in stock right now?
Yes. 6 of the current batch of 24 were unallocated at the last stock update (18 September 2026). Provisioning is automated: your server is imaged, secured with your SSH key and handed over in under 10 minutes after your payment confirms.
What is included with a RTX PRO 6000 server?
Everything on the pricing table: the GPU, 16 vCPU · 128 GB RAM · 2 TB NVMe, a 10 Gbps uplink with 20 TB of outbound transfer, a dedicated public IPv4 and a /64 IPv6 block, DDoS protection, root access and Ubuntu 24.04 with the NVIDIA driver, CUDA 12 and Docker — or PyTorch, vLLM, Kubernetes or Windows Server images at checkout. Hardware replacement within 4 hours and a 99.9% uptime SLA are part of the contract.
Can I run Windows on the RTX PRO 6000?
Yes. Windows Server 2022 and 2025 images with the NVIDIA RTX driver and RDP are available at checkout for workstation-class GPUs, for a small monthly licence fee shown on the deploy page. Linux images with CUDA, Docker and the ML frameworks are included at no extra cost.
Can I rent several RTX PRO 6000s?
Yes: order 1, 2, 4 or 8 GPUs at once, subject to the units left in the batch, on the same monthly terms.
Do I need KYC or a card to rent it?
No. An email address is all we ask for. You fund a prepaid balance in Bitcoin, Ether or USDT (ERC-20 or TRC-20); the first invoice settles from it and monthly renewals charge to it automatically. No ID document, no card, no bank transfer.
Other workstation-class GPUs by the month
Same dedicated hosts, same monthly model, same 10-minute provisioning. All 10 GPUs are on the pricing page.
Deploy an RTX PRO 6000 in under 10 minutes
$749 a month, fixed for your term. Fund your balance in BTC, ETH or USDT and the server is imaged, secured with your key and handed over automatically.