Workstation · Ada Lovelace · launched 2023 · prices checked 2026-09-03
Rent NVIDIA RTX 4000Ada — 20 GB, $0.140/hr on-demand
- VRAM 20 GBGDDR6
- FP16 tensor 107TFLOPS
- PowerScore 75RTX 3090 = 100
- Configs 1–4×PCIe 4.0
- Online now 9 1 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
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 4000Ada specs: VRAM, TFLOPS, bandwidth
| GPU model | NVIDIA RTX 4000Ada | Architecture | Ada Lovelace (2023) |
|---|---|---|---|
| VRAM | 20 GB GDDR6 | Memory bandwidth | 360 GB/s |
| FP16 tensor perf. | 107 TFLOPS | FP32 perf. | 26.7 TFLOPS |
| CUDA cores | 6,144 | TDP | 130 W |
| PowerScore (RTX 3090 = 100) | 75 | PCIe generation | Gen 4.0 |
| 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.
RTX 4000Ada price per hour: on-demand, interruptible, reserved
One public rule sets every price on this page: the marketplace median for the RTX 4000Ada ($0.20/hr, snapshot 2026-09-03) × 0.70, rounded down — so on-demand is $0.140, 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 | $0.140 | $3.36 | $102 | Guaranteed capacity, price locked at deploy, stop anytime |
| Interruptible | $0.070 | $1.68 | $51 | Flat −50%; may pause under capacity pressure, disk kept, auto-requeue |
| Reserved (3 months) | $0.091 | $2.18 | $66 | −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 RTX 4000Ada (20 GB VRAM)
With 20 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 $0.140.
- One-click template: Linux Desktop on a RTX 4000Ada
- One-click template: ComfyUI on a RTX 4000Ada
- One-click template: Ubuntu Desktop VM on a RTX 4000Ada
- Sizing help: LLM VRAM requirements guide
RTX 4000Ada availability by region
9 × RTX 4000Ada across 2 machines, live from inventory:
Frankfurt
RTX 4000Ada vs alternatives: price per TFLOP
| GPU | VRAM | FP16 | On-demand | $ / TFLOP-hr |
|---|---|---|---|---|
| RTX 4000Ada this card | 20 GB | 107 | $0.140 | $1.31‰ |
| RTX A5000 | 24 GB | 111 | $0.161 | $1.45‰ |
| Q RTX 8000 | 48 GB | 65 | $0.178 | $2.74‰ |
| RTX PRO 4000 | 20 GB | 150 | $0.181 | $1.21‰ |
| Q RTX 6000 | 24 GB | 65 | $0.094 | $1.45‰ |
‰ = dollars per 1,000 TFLOP-hours of FP16 — a rough value-for-compute yardstick across cards.
Renting a RTX 4000Ada: frequently asked questions
How much does it cost to rent an NVIDIA RTX 4000Ada per hour?
$0.140 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $0.20. Interruptible capacity costs $0.070/hr and a 3-month reservation $0.091/hr. Around $102/month if you keep one running non-stop, billed per second.
What can a RTX 4000Ada with 20 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 RTX 4000Ada available to rent right now?
Yes — 9 GPUs across 2 machines in 1 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 RTX 4000Ada?
Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by RTX 4000Ada, 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-4000ada --template pytorch.
Why is the RTX 4000Ada 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.