Previous gen · Turing · launched 2018 · prices checked 2026-09-14
Rent NVIDIA RTX 2070 — 8 GB, $0.065/hr on-demand
- VRAM 8 GBGDDR6
- FP16 tensor 42TFLOPS
- PowerScore 30RTX 3090 = 100
- Configs 1–8×PCIe 3.0
- Online now 8 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: 2026-09-21.
Previous gen · Turing 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 2070 specs: VRAM, TFLOPS, bandwidth
| GPU model | NVIDIA RTX 2070 | Architecture | Turing (2018) |
|---|---|---|---|
| VRAM | 8 GB GDDR6 | Memory bandwidth | 448 GB/s |
| FP16 tensor perf. | 42 TFLOPS | FP32 perf. | 7.5 TFLOPS |
| CUDA cores | 2,304 | TDP | 175 W |
| PowerScore (RTX 3090 = 100) | 30 | PCIe generation | Gen 3.0 |
| Multi-GPU | 1× – 8× | Max instance storage | 2,000 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 2070 price per hour: on-demand, interruptible, reserved
One public rule sets every price on this page: the marketplace median for the RTX 2070 ($0.09/hr, snapshot 2026-09-14) × 0.70, rounded down — so on-demand is $0.065, 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 | $0.065 | $1.56 | $47 | Guaranteed capacity, price locked at deploy, stop anytime |
| Interruptible | $0.032 | $0.77 | $23 | Flat −50%; may pause under capacity pressure, disk kept, auto-requeue |
| Reserved (3 months) | $0.042 | $1.01 | $31 | −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 2070 (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 $0.065.
- One-click template: Ollama on a RTX 2070
- One-click template: SD WebUI Forge on a RTX 2070
- One-click template: Whisper WebUI & API on a RTX 2070
- Sizing help: LLM VRAM requirements guide
RTX 2070 availability by region
8 × RTX 2070 across 2 machines, live from inventory:
Mumbai
Singapore
RTX 2070 vs alternatives: price per TFLOP
| GPU | VRAM | FP16 | On-demand | $ / TFLOP-hr |
|---|---|---|---|---|
| RTX 2070 this card | 8 GB | 42 | $0.065 | $1.55‰ |
| RTX 2080 Ti | 11 GB | 57 | $0.057 | $1.00‰ |
| RTX 2070S | 8 GB | 45 | $0.056 | $1.24‰ |
| RTX 2060 | 6 GB | 26 | $0.051 | $1.96‰ |
| GTX 1660 | 6 GB | 5 | $0.048 | $9.60‰ |
‰ = dollars per 1,000 TFLOP-hours of FP16 — a rough value-for-compute yardstick across cards.
Renting a RTX 2070: frequently asked questions
How much does it cost to rent an NVIDIA RTX 2070 per hour?
$0.065 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $0.09. Interruptible capacity costs $0.032/hr and a 3-month reservation $0.042/hr. Around $47/month if you keep one running non-stop, billed per second.
What can a RTX 2070 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 2070 available to rent right now?
Yes — 8 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 RTX 2070?
Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by RTX 2070, 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-2070 --template pytorch.
Why is the RTX 2070 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 2026-09-21) and published — no auctions, no per-host roulette, no bidding.