Previous gen · Turing · launched 2018 · prices checked 2026-09-03
Rent NVIDIA Q RTX 6000 — 24 GB, $0.094/hr on-demand
- VRAM 24 GBGDDR6
- FP16 tensor 65TFLOPS
- PowerScore 46RTX 3090 = 100
- Configs 1–4×PCIe 3.0
- Online now 17 3 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.
Previous gen · Turing architecture
A cost-efficient card for right-sized jobs: batch inference, smaller models, CI pipelines and experiments where a flagship would idle. Per-second billing makes it perfect for short bursts.
NVIDIA Q RTX 6000 specs: VRAM, TFLOPS, bandwidth
| GPU model | NVIDIA Q RTX 6000 | Architecture | Turing (2018) |
|---|---|---|---|
| VRAM | 24 GB GDDR6 | Memory bandwidth | 672 GB/s |
| FP16 tensor perf. | 65 TFLOPS | FP32 perf. | 16.3 TFLOPS |
| CUDA cores | 4,608 | TDP | 260 W |
| PowerScore (RTX 3090 = 100) | 46 | PCIe generation | Gen 3.0 |
| Multi-GPU | 1× – 4× | Max instance storage | 8,000 GB NVMe |
| Network up to | 5,000 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.
Q RTX 6000 price per hour: on-demand, interruptible, reserved
One public rule sets every price on this page: the marketplace median for the Q RTX 6000 ($0.13/hr, snapshot 2026-09-03) × 0.70, rounded down — so on-demand is $0.094, 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 | $0.094 | $2.26 | $69 | Guaranteed capacity, price locked at deploy, stop anytime |
| Interruptible | $0.047 | $1.13 | $34 | Flat −50%; may pause under capacity pressure, disk kept, auto-requeue |
| Reserved (3 months) | $0.061 | $1.46 | $45 | −35% on on-demand, rate locked for the term, capacity held |
Per GPU: an 4× machine costs exactly 4× — no multi-GPU premium. Estimate a full month with storage and bandwidth in the GPU cost calculator.
What you can run on a Q RTX 6000 (24 GB VRAM)
With 24 GB of GDDR6, a single card holds a ~8B-parameter LLM in FP16 or up to ~32B parameters quantized to 4-bit, with room for KV-cache at practical context lengths. Scale to 4× GPUs on one machine for bigger models or bigger batches — the per-GPU price stays $0.094.
- One-click template: Ollama on a Q RTX 6000
- One-click template: SD WebUI Forge on a Q RTX 6000
- One-click template: Whisper WebUI & API on a Q RTX 6000
- Sizing help: LLM VRAM requirements guide
Q RTX 6000 availability by region
17 × Q RTX 6000 across 3 machines, live from inventory:
Singapore
Frankfurt
Seattle, WA
Q RTX 6000 vs alternatives: price per TFLOP
| GPU | VRAM | FP16 | On-demand | $ / TFLOP-hr |
|---|---|---|---|---|
| Q RTX 6000 this card | 24 GB | 65 | $0.094 | $1.45‰ |
| Titan RTX | 24 GB | 65 | $0.094 | $1.45‰ |
| RTX A4000 | 16 GB | 76 | $0.066 | $0.87‰ |
| RTX 4000Ada | 20 GB | 107 | $0.140 | $1.31‰ |
| Quadro P4000 | 8 GB | 8 | $0.038 | $4.75‰ |
‰ = dollars per 1,000 TFLOP-hours of FP16 — a rough value-for-compute yardstick across cards.
Renting a Q RTX 6000: frequently asked questions
How much does it cost to rent an NVIDIA Q RTX 6000 per hour?
$0.094 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $0.13. Interruptible capacity costs $0.047/hr and a 3-month reservation $0.061/hr. Around $69/month if you keep one running non-stop, billed per second.
What can a Q RTX 6000 with 24 GB VRAM run?
In LLM terms, roughly a 8B-parameter model in FP16 or up to ~32B parameters 4-bit quantized on a single card, with context headroom. Multi-GPU instances (up to 4× on current inventory) multiply that; diffusion and rendering workloads fit comfortably at this VRAM class.
Is the Q RTX 6000 available to rent right now?
Yes — 17 GPUs across 3 machines in 3 regions are listed as we render this page. Configurations go from 1× to 4×. Deploy from the console and it is running in about 30 seconds.
How do I deploy a Q RTX 6000?
Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by Q RTX 6000, pick a machine and a template such as PyTorch, vLLM or ComfyUI. The same deploy is one command with the CLI: powergpu launch --gpu q-rtx-6000 --template pytorch.
Why is the Q RTX 6000 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.