GPU · NVIDIA · prices checked 2026-10-19
Rent NVIDIA RTX 6000D — 96 GB, $1.026/hr on-demand
- VRAM 96 GBGDDR6
- FP16 tensor 288TFLOPS
- PowerScore 203RTX 3090 = 100
- Configs 1–1×PCIe 3.0
- Online now 4 0 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: 2026-10-26.
GPU · NVIDIA 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 RTX 6000D specs: VRAM, TFLOPS, bandwidth
| GPU model | NVIDIA RTX 6000D | Architecture | NVIDIA |
|---|---|---|---|
| VRAM | 96 GB GDDR6 | Memory bandwidth | — |
| FP16 tensor perf. | 288 TFLOPS | FP32 perf. | — |
| CUDA cores | — | TDP | — |
| PowerScore (RTX 3090 = 100) | 203 | PCIe generation | Gen 3.0 |
| Multi-GPU | 1× – 1× | Max instance storage | 0 GB NVMe |
| Network up to | 0 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 6000D price per hour: on-demand, interruptible, reserved
One public rule sets every price on this page: the marketplace median for the RTX 6000D ($1.47/hr, snapshot 2026-10-19) × 0.70, rounded down — so on-demand is $1.026, 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 | $1.026 | $24.62 | $749 | Guaranteed capacity, price locked at deploy, stop anytime |
| Interruptible | $0.513 | $12.31 | $374 | Flat −50%; may pause under capacity pressure, disk kept, auto-requeue |
| Reserved (3 months) | $0.666 | $15.98 | $486 | −35% on on-demand, rate locked for the term, capacity held |
Per GPU: an 1× machine costs exactly 1× — no multi-GPU premium. Estimate a full month with storage and bandwidth in the GPU cost calculator.
What you can run on a RTX 6000D (96 GB VRAM)
With 96 GB of GDDR6, 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 1× GPUs on one machine for bigger models or bigger batches — the per-GPU price stays $1.026.
- One-click template: Ollama on a RTX 6000D
- One-click template: SD WebUI Forge on a RTX 6000D
- One-click template: Whisper WebUI & API on a RTX 6000D
- Sizing help: LLM VRAM requirements guide
RTX 6000D availability by region
4 × RTX 6000D across 0 machines, live from inventory:
RTX 6000D vs alternatives: price per TFLOP
| GPU | VRAM | FP16 | On-demand | $ / TFLOP-hr |
|---|---|---|---|---|
| RTX 6000D this card | 96 GB | 288 | $1.026 | $3.56‰ |
| RTX 2080 Ti | 11 GB | 57 | $0.088 | $1.54‰ |
| RTX 2060 | 6 GB | 26 | $0.074 | $2.85‰ |
| GTX 1660 Ti | 6 GB | 5 | $0.056 | $10.37‰ |
| RTX 2070S | 8 GB | 45 | $0.056 | $1.24‰ |
‰ = dollars per 1,000 TFLOP-hours of FP16 — a rough value-for-compute yardstick across cards.
Renting a RTX 6000D: frequently asked questions
How much does it cost to rent an NVIDIA RTX 6000D per hour?
$1.026 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $1.47. Interruptible capacity costs $0.513/hr and a 3-month reservation $0.666/hr. Around $749/month if you keep one running non-stop, billed per second.
What can a RTX 6000D 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 1× on current inventory) multiply that; diffusion and rendering workloads fit comfortably at this VRAM class.
Is the RTX 6000D available to rent right now?
Yes — 4 GPUs across 0 machines in 0 regions are listed as we render this page. Configurations go from 1× to 1×. Deploy from the console and it is running in about 30 seconds.
How do I deploy a RTX 6000D?
Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by RTX 6000D, pick a machine and a template such as PyTorch, vLLM or ComfyUI. The same deploy is one command with the CLI: lowcostgpu launch --gpu rtx-6000d --template pytorch.
Why is the RTX 6000D 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 2026-10-26) and published — no auctions, no per-host roulette, no bidding.