Previous gen · Pascal · launched 2016 · prices checked 2026-09-03
Rent NVIDIA GTX 1080 — 8 GB, $0.034/hr on-demand
- VRAM 8 GBGDDR5X
- FP16 tensor 9TFLOPS
- PowerScore 6RTX 3090 = 100
- Configs 1–4×PCIe 3.0
- Online now 29 5 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 GTX 1080 specs: VRAM, TFLOPS, bandwidth
| GPU model | NVIDIA GTX 1080 | Architecture | Pascal (2016) |
|---|---|---|---|
| VRAM | 8 GB GDDR5X | Memory bandwidth | 320 GB/s |
| FP16 tensor perf. | 9 TFLOPS | FP32 perf. | 8.9 TFLOPS |
| CUDA cores | 2,560 | TDP | 180 W |
| PowerScore (RTX 3090 = 100) | 6 | PCIe generation | Gen 3.0 |
| Multi-GPU | 1× – 4× | Max instance storage | 4,000 GB NVMe |
| Network up to | 1,000 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.
GTX 1080 price per hour: on-demand, interruptible, reserved
One public rule sets every price on this page: the marketplace median for the GTX 1080 ($0.05/hr, snapshot 2026-09-03) × 0.70, rounded down — so on-demand is $0.034, 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 | $0.034 | $0.82 | $25 | Guaranteed capacity, price locked at deploy, stop anytime |
| Interruptible | $0.017 | $0.41 | $12 | Flat −50%; may pause under capacity pressure, disk kept, auto-requeue |
| Reserved (3 months) | $0.022 | $0.53 | $16 | −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 GTX 1080 (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 4× GPUs on one machine for bigger models or bigger batches — the per-GPU price stays $0.034.
- One-click template: Ollama on a GTX 1080
- One-click template: SD WebUI Forge on a GTX 1080
- One-click template: Whisper WebUI & API on a GTX 1080
- Sizing help: LLM VRAM requirements guide
GTX 1080 availability by region
29 × GTX 1080 across 5 machines, live from inventory:
Montréal
Amsterdam
Santiago
Paris
Stockholm
GTX 1080 vs alternatives: price per TFLOP
| GPU | VRAM | FP16 | On-demand | $ / TFLOP-hr |
|---|---|---|---|---|
| GTX 1080 this card | 8 GB | 9 | $0.034 | $3.78‰ |
| GTX 1070 | 8 GB | 7 | $0.033 | $5.08‰ |
| GTX 1660 S | 6 GB | 5 | $0.033 | $6.60‰ |
| RTX 2070 | 8 GB | 42 | $0.033 | $0.79‰ |
| RTX 2060S | 8 GB | 40 | $0.036 | $0.90‰ |
‰ = dollars per 1,000 TFLOP-hours of FP16 — a rough value-for-compute yardstick across cards.
Renting a GTX 1080: frequently asked questions
How much does it cost to rent an NVIDIA GTX 1080 per hour?
$0.034 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $0.05. Interruptible capacity costs $0.017/hr and a 3-month reservation $0.022/hr. Around $25/month if you keep one running non-stop, billed per second.
What can a GTX 1080 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 4× on current inventory) multiply that; diffusion and rendering workloads fit comfortably at this VRAM class.
Is the GTX 1080 available to rent right now?
Yes — 29 GPUs across 5 machines in 5 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 GTX 1080?
Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by GTX 1080, pick a machine and a template such as PyTorch, vLLM or ComfyUI. The same deploy is one command with the CLI: powergpu launch --gpu gtx-1080 --template pytorch.
Why is the GTX 1080 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.