--- title: "Rent RTX 3080 — $0.075/hr Cloud GPU Pricing (2026) | PowerGPU" description: "Rent the RTX 3080 (10 GB GDDR6) from $0.037/hr interruptible or $0.075/hr on-demand — fixed, ≥30% below market. 70 GPUs in 16 regions, per-second billing." url: https://powergpu.ai/gpu/rtx-3080 last_modified: 2026-09-14T11:04:20+00:00 prices_as_of: 2026-09-14 site: PowerGPU (powergpu.ai) --- Consumer · Ampere · launched 2020 · prices checked 2026-09-14 # Rent NVIDIA RTX 3080 — 10 GB, $0.075/hr on-demand - VRAM 10 GB GDDR6 - FP16 tensor 119 TFLOPS - PowerScore 84 RTX 3090 = 100 - Configs 1–8× PCIe 4.0 - Online now 70 16 regions [On-demand (guaranteed) $0.075 /GPU-hr ≈ $55/mo · market ~~$0.11~~ (−30%)](https://cloud.powergpu.ai/?gpu=rtx-3080) [Interruptible $0.037 /GPU-hr flat −50% · pausable, disk kept](https://cloud.powergpu.ai/?gpu=rtx-3080&type=spot) [Reserved 3 mo $0.048 /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. Consumer · Ampere architecture The RTX 3080 (10 GB) offers Ampere throughput close to a 3090 with less VRAM: fine for SD 1.5 and SDXL, 7B 4-bit inference and training smaller vision models at a low hourly rate. 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 3080 specs: VRAM, TFLOPS, bandwidth - **GPU model**: NVIDIA RTX 3080 · **Architecture**: Ampere (2020) - **VRAM**: 10 GB GDDR6 · **Memory bandwidth**: 760 GB/s - **FP16 tensor perf.**: 119 TFLOPS · **FP32 perf.**: 29.8 TFLOPS - **CUDA cores**: 8,704 · **TDP**: 320 W - **PowerScore ((RTX 3090 = 100))**: 84 · **PCIe generation**: Gen 4.0 - **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 3080 price per hour: on-demand, interruptible, reserved One public rule sets every price on this page: the marketplace median for the RTX 3080 ($0.11/hr, snapshot 2026-09-14) × 0.70, rounded down — so on-demand is $0.075, **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** | $0.075 | $1.80 | $55 | Guaranteed capacity, price locked at deploy, stop anytime | | **Interruptible** | $0.037 | $0.89 | $27 | Flat −50%; may pause under capacity pressure, disk kept, auto-requeue | | **Reserved (3 months)** | $0.048 | $1.15 | $35 | −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 RTX 3080 (10 GB VRAM) With 10 GB of GDDR6, 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 $0.075. - One-click template: [Ollama on a RTX 3080](https://powergpu.ai/templates/ollama) - One-click template: [SD WebUI Forge on a RTX 3080](https://powergpu.ai/templates/sd-webui-forge) - One-click template: [Whisper WebUI & API on a RTX 3080](https://powergpu.ai/templates/whisper-webui-api) - Sizing help: [LLM VRAM requirements guide](https://powergpu.ai/guides/llm-vram-requirements) ## RTX 3080 availability by region 70 × RTX 3080 across 17 machines, live from inventory: - Amsterdam - Miami, FL - London - Sydney - Querétaro - Mumbai - Osaka - Bucharest - Ashburn, VA - Seattle, WA - Santiago - Seoul - +4 more ## RTX 3080 vs alternatives: price per TFLOP | GPU | VRAM | FP16 | On-demand | $ / TFLOP-hr | | --- | --- | --- | --- | --- | | **RTX 3080** (this card) | 10 GB | 119 | $0.075 | $0.63‰ | | [RTX 3070 Ti](https://powergpu.ai/gpu/rtx-3070-ti) | 8 GB | 87 | $0.066 | $0.76‰ | | [RTX 3070](https://powergpu.ai/gpu/rtx-3070) | 8 GB | 81 | $0.056 | $0.69‰ | | [RTX 3080 Ti](https://powergpu.ai/gpu/rtx-3080-ti) | 12 GB | 136 | $0.094 | $0.69‰ | | [RTX 3060 Ti](https://powergpu.ai/gpu/rtx-3060-ti) | 8 GB | 65 | $0.047 | $0.72‰ | ‰ = dollars per 1,000 TFLOP-hours of FP16 — a rough value-for-compute yardstick across cards. ## Renting a RTX 3080: frequently asked questions **How much does it cost to rent an NVIDIA RTX 3080 per hour?** $0.075 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $0.11. Interruptible capacity costs $0.037/hr and a 3-month reservation $0.048/hr. Around $55/month if you keep one running non-stop, billed per second. **What can a RTX 3080 with 10 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 RTX 3080 available to rent right now?** Yes — 70 GPUs across 17 machines in 16 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 3080?** Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by RTX 3080, 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-3080 --template pytorch. **Why is the RTX 3080 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/rtx-3080 · Site index for AI assistants: https://powergpu.ai/llms.txt · Full content: https://powergpu.ai/llms-full.txt