--- title: "Rent RTX 5080 — $0.186/hr Cloud GPU Pricing (2026) | PowerGPU" description: "Rent the RTX 5080 (16 GB GDDR7) from $0.093/hr interruptible or $0.186/hr on-demand — fixed, ≥30% below market. 97 GPUs in 16 regions, per-second billing." url: https://powergpu.ai/gpu/rtx-5080 last_modified: 2026-09-14T11:04:20+00:00 prices_as_of: 2026-09-14 site: PowerGPU (powergpu.ai) --- Consumer · Blackwell · launched 2025 · prices checked 2026-09-14 # Rent NVIDIA RTX 5080 — 16 GB, $0.186/hr on-demand - VRAM 16 GB GDDR7 - FP16 tensor 225 TFLOPS - PowerScore 158 RTX 3090 = 100 - Configs 1–8× PCIe 5.0 - Online now 97 16 regions [On-demand (guaranteed) $0.186 /GPU-hr ≈ $136/mo · market ~~$0.27~~ (−30%)](https://cloud.powergpu.ai/?gpu=rtx-5080) [Interruptible $0.093 /GPU-hr flat −50% · pausable, disk kept](https://cloud.powergpu.ai/?gpu=rtx-5080&type=spot) [Reserved 3 mo $0.120 /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 · Blackwell architecture The RTX 5080 pairs 16 GB of GDDR7 at 960 GB/s with 10,752 Blackwell CUDA cores. It is a fast card for SDXL, 7B–8B FP16 inference and video encoding workloads that fit in 16 GB — with FP4 support that 40-series cards lack. 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 5080 specs: VRAM, TFLOPS, bandwidth - **GPU model**: NVIDIA RTX 5080 · **Architecture**: Blackwell (2025) - **VRAM**: 16 GB GDDR7 · **Memory bandwidth**: 960 GB/s - **FP16 tensor perf.**: 225 TFLOPS · **FP32 perf.**: 56.3 TFLOPS - **CUDA cores**: 10,752 · **TDP**: 360 W - **PowerScore ((RTX 3090 = 100))**: 158 · **PCIe generation**: Gen 5.0 - **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 5080 price per hour: on-demand, interruptible, reserved One public rule sets every price on this page: the marketplace median for the RTX 5080 ($0.27/hr, snapshot 2026-09-14) × 0.70, rounded down — so on-demand is $0.186, **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** | $0.186 | $4.46 | $136 | Guaranteed capacity, price locked at deploy, stop anytime | | **Interruptible** | $0.093 | $2.23 | $68 | Flat −50%; may pause under capacity pressure, disk kept, auto-requeue | | **Reserved (3 months)** | $0.120 | $2.88 | $88 | −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 5080 (16 GB VRAM) With 16 GB of GDDR7, a single card holds a **~3B-parameter LLM in FP16** or up to **~24B 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 $0.186. - One-click template: [Ollama on a RTX 5080](https://powergpu.ai/templates/ollama) - One-click template: [SD WebUI Forge on a RTX 5080](https://powergpu.ai/templates/sd-webui-forge) - One-click template: [Whisper WebUI & API on a RTX 5080](https://powergpu.ai/templates/whisper-webui-api) - Sizing help: [LLM VRAM requirements guide](https://powergpu.ai/guides/llm-vram-requirements) ## RTX 5080 availability by region 97 × RTX 5080 across 24 machines, live from inventory: - Helsinki - Madrid - Tel Aviv - Osaka - Sydney - Dallas, TX - Johannesburg - Milan - Seoul - Amsterdam - Querétaro - Los Angeles, CA - +4 more ## RTX 5080 vs alternatives: price per TFLOP | GPU | VRAM | FP16 | On-demand | $ / TFLOP-hr | | --- | --- | --- | --- | --- | | **RTX 5080** (this card) | 16 GB | 225 | $0.186 | $0.83‰ | | [RTX 5070 Ti](https://powergpu.ai/gpu/rtx-5070-ti) | 16 GB | 176 | $0.131 | $0.74‰ | | [RTX 5060 Ti](https://powergpu.ai/gpu/rtx-5060-ti) | 16 GB | 92 | $0.112 | $1.22‰ | | [RTX 5070](https://powergpu.ai/gpu/rtx-5070) | 12 GB | 123 | $0.112 | $0.91‰ | | [RTX 5060](https://powergpu.ai/gpu/rtx-5060) | 8 GB | 74 | $0.063 | $0.85‰ | ‰ = dollars per 1,000 TFLOP-hours of FP16 — a rough value-for-compute yardstick across cards. - [RTX 5080 vs RTX 4090](https://powergpu.ai/compare/rtx-5080-vs-rtx-4090) — specs, price per hour, which to rent - [All GPU comparisons](https://powergpu.ai/compare) ## Renting a RTX 5080: frequently asked questions **How much does it cost to rent an NVIDIA RTX 5080 per hour?** $0.186 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $0.27. Interruptible capacity costs $0.093/hr and a 3-month reservation $0.120/hr. Around $136/month if you keep one running non-stop, billed per second. **What can a RTX 5080 with 16 GB VRAM run?** In LLM terms, roughly a 3B-parameter model in FP16 or up to ~24B 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 5080 available to rent right now?** Yes — 97 GPUs across 24 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 5080?** Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by RTX 5080, 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-5080 --template pytorch. **Why is the RTX 5080 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-5080 · Site index for AI assistants: https://powergpu.ai/llms.txt · Full content: https://powergpu.ai/llms-full.txt