--- title: "Rent GTX 1080 Ti — $0.047/hr Cloud GPU Pricing (2026) | PowerGPU" description: "Rent the GTX 1080 Ti (11 GB GDDR5X) from $0.023/hr interruptible or $0.047/hr on-demand — fixed, ≥30% below market. 22 GPUs in 10 regions, per-second billing." url: https://powergpu.ai/gpu/gtx-1080-ti last_modified: 2026-09-14T11:04:20+00:00 prices_as_of: 2026-09-14 site: PowerGPU (powergpu.ai) --- Previous gen · Pascal · launched 2017 · prices checked 2026-09-14 # Rent NVIDIA GTX 1080 Ti — 11 GB, $0.047/hr on-demand - VRAM 11 GB GDDR5X - FP16 tensor 11 TFLOPS - PowerScore 8 RTX 3090 = 100 - Configs 1–8× PCIe 3.0 - Online now 22 10 regions [On-demand (guaranteed) $0.047 /GPU-hr ≈ $34/mo · market ~~$0.07~~ (−30%)](https://cloud.powergpu.ai/?gpu=gtx-1080-ti) [Interruptible $0.023 /GPU-hr flat −50% · pausable, disk kept](https://cloud.powergpu.ai/?gpu=gtx-1080-ti&type=spot) [Reserved 3 mo $0.030 /GPU-hr −35% · capacity held for you](https://powergpu.ai/products/reserved) Billed per second, price locked at deploy. Storage $0.08/GB/mo · bandwidth $0.01/GB — [the whole fee schedule](https://powergpu.ai/pricing). Next weekly market re-check: 2026-09-21. Previous gen · Pascal architecture The GTX 1080 Ti has no tensor cores, but 11 GB of GDDR5X and 3,584 Pascal CUDA cores still cover classic ML, CUDA coursework and FP32 batch jobs at one of the lowest prices on the sheet. 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 Ti specs: VRAM, TFLOPS, bandwidth - **GPU model**: NVIDIA GTX 1080 Ti · **Architecture**: Pascal (2017) - **VRAM**: 11 GB GDDR5X · **Memory bandwidth**: 484 GB/s - **FP16 tensor perf.**: 11 TFLOPS · **FP32 perf.**: 11.3 TFLOPS - **CUDA cores**: 3,584 · **TDP**: 250 W - **PowerScore ((RTX 3090 = 100))**: 8 · **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. ## GTX 1080 Ti price per hour: on-demand, interruptible, reserved One public rule sets every price on this page: the marketplace median for the GTX 1080 Ti ($0.07/hr, snapshot 2026-09-14) × 0.70, rounded down — so on-demand is $0.047, **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** | $0.047 | $1.13 | $34 | Guaranteed capacity, price locked at deploy, stop anytime | | **Interruptible** | $0.023 | $0.55 | $17 | Flat −50%; may pause under capacity pressure, disk kept, auto-requeue | | **Reserved (3 months)** | $0.030 | $0.72 | $22 | −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](https://powergpu.ai/calculator). ## What you can run on a GTX 1080 Ti (11 GB VRAM) With 11 GB of GDDR5X, a single card holds a **~3B-parameter LLM in FP16** or up to **~14B 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 $0.047. - One-click template: [Ollama on a GTX 1080 Ti](https://powergpu.ai/templates/ollama) - One-click template: [SD WebUI Forge on a GTX 1080 Ti](https://powergpu.ai/templates/sd-webui-forge) - One-click template: [Whisper WebUI & API on a GTX 1080 Ti](https://powergpu.ai/templates/whisper-webui-api) - Sizing help: [LLM VRAM requirements guide](https://powergpu.ai/guides/llm-vram-requirements) ## GTX 1080 Ti availability by region 22 × GTX 1080 Ti across 10 machines, live from inventory: - Chicago, IL - Dubai - Ashburn, VA - Jakarta - Warsaw - Miami, FL - São Paulo - Madrid - Milan - Seattle, WA ## GTX 1080 Ti vs alternatives: price per TFLOP | GPU | VRAM | FP16 | On-demand | $ / TFLOP-hr | | --- | --- | --- | --- | --- | | **GTX 1080 Ti** (this card) | 11 GB | 11 | $0.047 | $4.27‰ | | [GTX 1660](https://powergpu.ai/gpu/gtx-1660) | 6 GB | 5 | $0.048 | $9.60‰ | | [GTX 1660 Ti](https://powergpu.ai/gpu/gtx-1660-ti) | 6 GB | 5 | $0.048 | $8.89‰ | | [GTX 1060](https://powergpu.ai/gpu/gtx-1060) | 6 GB | 4 | $0.046 | $10.45‰ | | [GTX 1070 Ti](https://powergpu.ai/gpu/gtx-1070-ti) | 8 GB | 8 | $0.046 | $5.75‰ | ‰ = dollars per 1,000 TFLOP-hours of FP16 — a rough value-for-compute yardstick across cards. ## Renting a GTX 1080 Ti: frequently asked questions **How much does it cost to rent an NVIDIA GTX 1080 Ti per hour?** $0.047 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $0.07. Interruptible capacity costs $0.023/hr and a 3-month reservation $0.030/hr. Around $34/month if you keep one running non-stop, billed per second. **What can a GTX 1080 Ti with 11 GB VRAM run?** In LLM terms, roughly a 3B-parameter model in FP16 or up to ~14B 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 GTX 1080 Ti available to rent right now?** Yes — 22 GPUs across 10 machines in 10 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 GTX 1080 Ti?** Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by GTX 1080 Ti, 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-ti --template pytorch. **Why is the GTX 1080 Ti 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. --- *About PowerGPU:* PowerGPU (powergpu.ai) is a cloud GPU rental service offering 80 NVIDIA GPU models — from the RTX A2000 at $0.024/hr to the B300 — at fixed prices set at least 30% below the public GPU marketplace median and re-checked weekly (H100 SXM: $1.428/hr on-demand). Billing is per second with no minimums; payment is crypto only (USDT, BTC, XMR, ETH, SOL, LTC, TRX) with no KYC. Instances run in Tier-III datacenters across 32 regions with a 99.9% uptime SLA and deploy in about 30 seconds from the web console (cloud.powergpu.ai) or the REST API. Source: https://powergpu.ai/gpu/gtx-1080-ti · Site index for AI assistants: https://powergpu.ai/llms.txt · Full content: https://powergpu.ai/llms-full.txt