Workstation · Ada Lovelace · launched 2022 · prices checked 2026-09-03
Rent NVIDIA RTX 6000Ada — 48 GB, $0.513/hr on-demand
- VRAM 48 GBGDDR6
- FP16 tensor 364TFLOPS
- PowerScore 256RTX 3090 = 100
- Configs 1–8×PCIe 4.0
- Online now 32 4 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 · Ada Lovelace architecture
The RTX 6000 Ada is the Ada Lovelace workstation flagship: 48 GB GDDR6 with ECC, 18,176 CUDA cores, 300 W. Renderers and CAD teams rent it for production scenes; ML teams for 32B-class inference and LoRA training where 48 GB and studio drivers matter more than HBM.
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 6000Ada specs: VRAM, TFLOPS, bandwidth
| GPU model | NVIDIA RTX 6000Ada | Architecture | Ada Lovelace (2022) |
|---|---|---|---|
| VRAM | 48 GB GDDR6 | Memory bandwidth | 960 GB/s |
| FP16 tensor perf. | 364 TFLOPS | FP32 perf. | 91.1 TFLOPS |
| CUDA cores | 18,176 | TDP | 300 W |
| PowerScore (RTX 3090 = 100) | 256 | PCIe generation | Gen 4.0 |
| 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 6000Ada price per hour: on-demand, interruptible, reserved
One public rule sets every price on this page: the marketplace median for the RTX 6000Ada ($0.73/hr, snapshot 2026-09-03) × 0.70, rounded down — so on-demand is $0.513, 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 | $0.513 | $12.31 | $374 | Guaranteed capacity, price locked at deploy, stop anytime |
| Interruptible | $0.256 | $6.14 | $187 | Flat −50%; may pause under capacity pressure, disk kept, auto-requeue |
| Reserved (3 months) | $0.333 | $7.99 | $243 | −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 6000Ada (48 GB VRAM)
With 48 GB of GDDR6, a single card holds a ~14B-parameter LLM in FP16 or up to ~72B 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 $0.513.
- Recommended for 3d rendering — Per-second render billing
- One-click template: Linux Desktop on a RTX 6000Ada
- One-click template: ComfyUI on a RTX 6000Ada
- One-click template: Ubuntu Desktop VM on a RTX 6000Ada
- Sizing help: LLM VRAM requirements guide
RTX 6000Ada availability by region
32 × RTX 6000Ada across 6 machines, live from inventory:
Tokyo
Mumbai
Seattle, WA- Miami, FL
RTX 6000Ada vs alternatives: price per TFLOP
| GPU | VRAM | FP16 | On-demand | $ / TFLOP-hr |
|---|---|---|---|---|
| RTX 6000Ada this card | 48 GB | 364 | $0.513 | $1.41‰ |
| RTX PRO 5000 | 32 GB | 280 | $0.467 | $1.67‰ |
| RTX 5880Ada | 48 GB | 340 | $0.290 | $0.85‰ |
| RTX A6000 | 48 GB | 155 | $0.281 | $1.81‰ |
| RTX 5000Ada | 32 GB | 190 | $0.262 | $1.38‰ |
‰ = dollars per 1,000 TFLOP-hours of FP16 — a rough value-for-compute yardstick across cards.
- RTX PRO 6000 WS vs RTX 6000Ada — specs, price per hour, which to rent
- RTX 6000Ada vs RTX A6000 — specs, price per hour, which to rent
- All GPU comparisons
Renting a RTX 6000Ada: frequently asked questions
How much does it cost to rent an NVIDIA RTX 6000Ada per hour?
$0.513 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $0.73. Interruptible capacity costs $0.256/hr and a 3-month reservation $0.333/hr. Around $374/month if you keep one running non-stop, billed per second.
What can a RTX 6000Ada with 48 GB VRAM run?
In LLM terms, roughly a 14B-parameter model in FP16 or up to ~72B 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 6000Ada available to rent right now?
Yes — 32 GPUs across 6 machines in 4 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 6000Ada?
Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by RTX 6000Ada, 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-6000ada --template pytorch.
Why is the RTX 6000Ada 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.