Consumer · Ampere · launched 2020 · prices checked 2026-09-03
Rent NVIDIA RTX 3070 — 8 GB, $0.052/hr on-demand
- VRAM 8 GBGDDR6
- FP16 tensor 81TFLOPS
- PowerScore 57RTX 3090 = 100
- Configs 1–8×PCIe 4.0
- Online now 83 12 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.
Consumer · Ampere 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 3070 specs: VRAM, TFLOPS, bandwidth
| GPU model | NVIDIA RTX 3070 | Architecture | Ampere (2020) |
|---|---|---|---|
| VRAM | 8 GB GDDR6 | Memory bandwidth | 448 GB/s |
| FP16 tensor perf. | 81 TFLOPS | FP32 perf. | 20.3 TFLOPS |
| CUDA cores | 5,888 | TDP | 220 W |
| PowerScore (RTX 3090 = 100) | 57 | PCIe generation | Gen 4.0 |
| 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.
RTX 3070 price per hour: on-demand, interruptible, reserved
One public rule sets every price on this page: the marketplace median for the RTX 3070 ($0.07/hr, snapshot 2026-09-03) × 0.70, rounded down — so on-demand is $0.052, 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 | $0.052 | $1.25 | $38 | Guaranteed capacity, price locked at deploy, stop anytime |
| Interruptible | $0.026 | $0.62 | $19 | Flat −50%; may pause under capacity pressure, disk kept, auto-requeue |
| Reserved (3 months) | $0.033 | $0.79 | $24 | −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 3070 (8 GB VRAM)
With 8 GB of GDDR6, 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 $0.052.
- One-click template: Ollama on a RTX 3070
- One-click template: SD WebUI Forge on a RTX 3070
- One-click template: Whisper WebUI & API on a RTX 3070
- Sizing help: LLM VRAM requirements guide
RTX 3070 availability by region
83 × RTX 3070 across 14 machines, live from inventory:
Chicago, IL
Warsaw
São Paulo
Madrid- Seattle, WA
Sydney
Bucharest
Mumbai
Vancouver
Querétaro
London
Johannesburg
RTX 3070 vs alternatives: price per TFLOP
| GPU | VRAM | FP16 | On-demand | $ / TFLOP-hr |
|---|---|---|---|---|
| RTX 3070 this card | 8 GB | 81 | $0.052 | $0.64‰ |
| RTX 3060 laptop | 6 GB | 43 | $0.047 | $1.09‰ |
| RTX 3060 Ti | 8 GB | 65 | $0.044 | $0.68‰ |
| RTX 3060 | 12 GB | 51 | $0.041 | $0.80‰ |
| RTX 3080 | 10 GB | 119 | $0.066 | $0.55‰ |
‰ = dollars per 1,000 TFLOP-hours of FP16 — a rough value-for-compute yardstick across cards.
Renting a RTX 3070: frequently asked questions
How much does it cost to rent an NVIDIA RTX 3070 per hour?
$0.052 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $0.07. Interruptible capacity costs $0.026/hr and a 3-month reservation $0.033/hr. Around $38/month if you keep one running non-stop, billed per second.
What can a RTX 3070 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 RTX 3070 available to rent right now?
Yes — 83 GPUs across 14 machines in 12 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 3070?
Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by RTX 3070, 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-3070 --template pytorch.
Why is the RTX 3070 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.