Previous gen · Pascal · launched 2017 · prices checked 2026-09-03
Rent NVIDIA Quadro P4000 — 8 GB, $0.038/hr on-demand
- VRAM 8 GBGDDR5X
- FP16 tensor 8TFLOPS
- PowerScore 6RTX 3090 = 100
- Configs 1–8×PCIe 3.0
- Online now 10 2 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 · Pascal 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 Quadro P4000 specs: VRAM, TFLOPS, bandwidth
| GPU model | NVIDIA Quadro P4000 | Architecture | Pascal (2017) |
|---|---|---|---|
| VRAM | 8 GB GDDR5X | Memory bandwidth | 243 GB/s |
| FP16 tensor perf. | 8 TFLOPS | FP32 perf. | 5.3 TFLOPS |
| CUDA cores | 1,792 | TDP | 105 W |
| PowerScore (RTX 3090 = 100) | 6 | PCIe generation | Gen 3.0 |
| Multi-GPU | 1× – 8× | Max instance storage | 4,000 GB NVMe |
| Network up to | 2,500 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.
Quadro P4000 price per hour: on-demand, interruptible, reserved
One public rule sets every price on this page: the marketplace median for the Quadro P4000 ($0.06/hr, snapshot 2026-09-03) × 0.70, rounded down — so on-demand is $0.038, 31% 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 | $0.038 | $0.91 | $28 | Guaranteed capacity, price locked at deploy, stop anytime |
| Interruptible | $0.019 | $0.46 | $14 | Flat −50%; may pause under capacity pressure, disk kept, auto-requeue |
| Reserved (3 months) | $0.024 | $0.58 | $18 | −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 Quadro P4000 (8 GB VRAM)
With 8 GB of GDDR5X, a single card holds a ~3B-parameter LLM in FP16 or up to ~8B 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 $0.038.
- One-click template: Ollama on a Quadro P4000
- One-click template: SD WebUI Forge on a Quadro P4000
- One-click template: Whisper WebUI & API on a Quadro P4000
- Sizing help: LLM VRAM requirements guide
Quadro P4000 availability by region
10 × Quadro P4000 across 2 machines, live from inventory:
Dubai
Stockholm
Quadro P4000 vs alternatives: price per TFLOP
| GPU | VRAM | FP16 | On-demand | $ / TFLOP-hr |
|---|---|---|---|---|
| Quadro P4000 this card | 8 GB | 8 | $0.038 | $4.75‰ |
| RTX A2000 | 6 GB | 32 | $0.030 | $0.94‰ |
| RTX A4000 | 16 GB | 76 | $0.066 | $0.87‰ |
| Q RTX 6000 | 24 GB | 65 | $0.094 | $1.45‰ |
| Titan RTX | 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 Quadro P4000: frequently asked questions
How much does it cost to rent an NVIDIA Quadro P4000 per hour?
$0.038 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $0.06. Interruptible capacity costs $0.019/hr and a 3-month reservation $0.024/hr. Around $28/month if you keep one running non-stop, billed per second.
What can a Quadro P4000 with 8 GB VRAM run?
In LLM terms, roughly a 3B-parameter model in FP16 or up to ~8B 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 Quadro P4000 available to rent right now?
Yes — 10 GPUs across 2 machines in 2 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 Quadro P4000?
Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by Quadro P4000, pick a machine and a template such as PyTorch, vLLM or ComfyUI. The same deploy is one command with the CLI: powergpu launch --gpu quadro-p4000 --template pytorch.
Why is the Quadro P4000 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.