Workstation · Blackwell · launched 2025 · prices checked 2026-09-03
Rent NVIDIA RTX PRO 6000 Max-Q — 96 GB, $0.864/hr on-demand
- VRAM 96 GBGDDR7
- FP16 tensor 420TFLOPS
- PowerScore 296RTX 3090 = 100
- Configs 1–8×PCIe 5.0
- Online now 37 6 regions
Billed per second, price locked at deploy. Storage $0.08/GB/mo · bandwidth $0.01/GB — the whole fee schedule. Next weekly market re-check: 2026-09-10.
Workstation · Blackwell architecture
The RTX PRO 6000 Max-Q is the 300 W variant of the Blackwell workstation flagship: the same 96 GB of GDDR7 at roughly half the power, so hosts pack more of them per chassis. Slightly lower clocks, noticeably lower price — the efficient way to rent 96 GB.
Workstation silicon with ECC memory and studio-certified drivers. Renderers (Blender, Octane, Redshift), CAD and simulation get the large VRAM they want without paying datacenter-flagship rates — and per-second billing suits render queues perfectly.
NVIDIA RTX PRO 6000 Max-Q specs: VRAM, TFLOPS, bandwidth
| GPU model | NVIDIA RTX PRO 6000 Max-Q | Architecture | Blackwell (2025) |
|---|---|---|---|
| VRAM | 96 GB GDDR7 | Memory bandwidth | 1,792 GB/s |
| FP16 tensor perf. | 420 TFLOPS | FP32 perf. | — |
| CUDA cores | 24,064 | TDP | 300 W |
| PowerScore (RTX 3090 = 100) | 296 | PCIe generation | Gen 5.0 |
| Multi-GPU | 1× – 8× | Max instance storage | 8,000 GB NVMe |
| Network up to | 10,000 Mbps | CUDA | 12.4 – 13.0 |
Bandwidth, CUDA cores, TDP and FP32 are public NVIDIA figures; FP16 tensor is the dense (non-sparsity) number. Machine-level values come from live inventory.
RTX PRO 6000 Max-Q price per hour: on-demand, interruptible, reserved
One public rule sets every price on this page: the marketplace median for the RTX PRO 6000 Max-Q ($1.23/hr, snapshot 2026-09-03) × 0.70, rounded down — so on-demand is $0.864, 30% below market. Interruptible halves it; a 3-month reservation takes another 35% off.
| Mode | Per GPU-hour | Per day (24 h) | Per month (730 h) | What you get |
|---|---|---|---|---|
| On-demand | $0.864 | $20.74 | $631 | Guaranteed capacity, price locked at deploy, stop anytime |
| Interruptible | $0.432 | $10.37 | $315 | Flat −50%; may pause under capacity pressure, disk kept, auto-requeue |
| Reserved (3 months) | $0.561 | $13.46 | $410 | −35% on on-demand, rate locked for the term, capacity held |
Per GPU: an 8× machine costs exactly 8× — no multi-GPU premium. Estimate a full month with storage and bandwidth in the GPU cost calculator.
What you can run on a RTX PRO 6000 Max-Q (96 GB VRAM)
With 96 GB of GDDR7, a single card holds a ~32B-parameter LLM in FP16 or up to ~141B parameters quantized to 4-bit, with room for KV-cache at practical context lengths. Scale to 8× GPUs on one machine for bigger models or bigger batches — the per-GPU price stays $0.864.
- One-click template: Linux Desktop on a RTX PRO 6000 Max-Q
- One-click template: ComfyUI on a RTX PRO 6000 Max-Q
- One-click template: Ubuntu Desktop VM on a RTX PRO 6000 Max-Q
- Sizing help: LLM VRAM requirements guide
RTX PRO 6000 Max-Q availability by region
37 × RTX PRO 6000 Max-Q across 7 machines, live from inventory:
Chicago, IL- Seattle, WA
Singapore
Mumbai
Stockholm
Santiago
RTX PRO 6000 Max-Q vs alternatives: price per TFLOP
| GPU | VRAM | FP16 | On-demand | $ / TFLOP-hr |
|---|---|---|---|---|
| RTX PRO 6000 Max-Q this card | 96 GB | 420 | $0.864 | $2.06‰ |
| RTX PRO 6000 S | 48 GB | 450 | $1.017 | $2.26‰ |
| RTX PRO 6000 WS | 96 GB | 505 | $1.097 | $2.17‰ |
| RTX 6000Ada | 48 GB | 364 | $0.513 | $1.41‰ |
| RTX PRO 5000 | 32 GB | 280 | $0.467 | $1.67‰ |
‰ = dollars per 1,000 TFLOP-hours of FP16 — a rough value-for-compute yardstick across cards.
Renting a RTX PRO 6000 Max-Q: frequently asked questions
How much does it cost to rent an NVIDIA RTX PRO 6000 Max-Q per hour?
$0.864 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $1.23. Interruptible capacity costs $0.432/hr and a 3-month reservation $0.561/hr. Around $631/month if you keep one running non-stop, billed per second.
What can a RTX PRO 6000 Max-Q with 96 GB VRAM run?
In LLM terms, roughly a 32B-parameter model in FP16 or up to ~141B parameters 4-bit quantized on a single card, with context headroom. Multi-GPU instances (up to 8× on current inventory) multiply that; diffusion and rendering workloads fit comfortably at this VRAM class.
Is the RTX PRO 6000 Max-Q available to rent right now?
Yes — 37 GPUs across 7 machines in 6 regions are listed as we render this page. Configurations go from 1× to 8×. Deploy from the console and it is running in about 30 seconds.
How do I deploy a RTX PRO 6000 Max-Q?
Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by RTX PRO 6000 Max-Q, pick a machine and a template such as PyTorch, vLLM or ComfyUI. The same deploy is one command with the CLI: powergpu launch --gpu rtx-pro-6000-max-q --template pytorch.
Why is the RTX PRO 6000 Max-Q cheaper here than on GPU marketplaces?
We price from the public marketplace median and fix our on-demand rate at least 30% below it, rounded down. The price is re-checked weekly (next check 2026-09-10) and published — no auctions, no per-host roulette, no bidding.