--- title: "Rent RTX 3090 — $0.108/hr Cloud GPU Pricing (2026) | PowerGPU" description: "Rent the RTX 3090 (24 GB GDDR6X) from $0.054/hr interruptible or $0.108/hr on-demand — fixed, ≥30% below market. 345 GPUs in 19 regions, per-second billing." url: https://powergpu.ai/gpu/rtx-3090 last_modified: 2026-09-14T11:04:20+00:00 prices_as_of: 2026-09-14 site: PowerGPU (powergpu.ai) --- Consumer flagship · Ampere · launched 2020 · prices checked 2026-09-14 # Rent NVIDIA RTX 3090 — 24 GB, $0.108/hr on-demand - VRAM 24 GB GDDR6X - FP16 tensor 142 TFLOPS - PowerScore 100 RTX 3090 = 100 - Configs 1–8× PCIe 4.0 - Online now 345 19 regions [On-demand (guaranteed) $0.108 /GPU-hr ≈ $79/mo · market ~~$0.15~~ (−30%)](https://cloud.powergpu.ai/?gpu=rtx-3090) [Interruptible $0.054 /GPU-hr flat −50% · pausable, disk kept](https://cloud.powergpu.ai/?gpu=rtx-3090&type=spot) [Reserved 3 mo $0.070 /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 flagship · Ampere architecture The RTX 3090 is still the cheapest 24 GB card you can rent: Ampere, 10,496 CUDA cores, 936 GB/s GDDR6X. Older tensor cores mean lower FP16 throughput than a 4090, but for batch image generation, LoRA training and 13B-class inference it delivers the most VRAM per dollar on the sheet. The community favourite: consumer pricing with serious tensor throughput. Ideal for diffusion models, quantized LLMs and fine-tuning runs that fit in 24 GB. Supply is deep, so interruptible capacity is almost always available at half price. ## NVIDIA RTX 3090 specs: VRAM, TFLOPS, bandwidth - **GPU model**: NVIDIA RTX 3090 · **Architecture**: Ampere (2020) - **VRAM**: 24 GB GDDR6X · **Memory bandwidth**: 936 GB/s - **FP16 tensor perf.**: 142 TFLOPS · **FP32 perf.**: 35.6 TFLOPS - **CUDA cores**: 10,496 · **TDP**: 350 W - **PowerScore ((RTX 3090 = 100))**: 100 · **PCIe generation**: Gen 4.0 - **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 3090 price per hour: on-demand, interruptible, reserved One public rule sets every price on this page: the marketplace median for the RTX 3090 ($0.15/hr, snapshot 2026-09-14) × 0.70, rounded down — so on-demand is $0.108, **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** | $0.108 | $2.59 | $79 | Guaranteed capacity, price locked at deploy, stop anytime | | **Interruptible** | $0.054 | $1.30 | $39 | Flat −50%; may pause under capacity pressure, disk kept, auto-requeue | | **Reserved (3 months)** | $0.070 | $1.68 | $51 | −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 3090 (24 GB VRAM) With 24 GB of GDDR6X, a single card holds a **~8B-parameter LLM in FP16** or up to **~32B 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 $0.108. - Recommended for [computer vision](https://powergpu.ai/use-cases/computer-vision) — YOLO11 epochs from $0.09 - One-click template: [ComfyUI on a RTX 3090](https://powergpu.ai/templates/comfyui) - One-click template: [Ollama on a RTX 3090](https://powergpu.ai/templates/ollama) - One-click template: [Kohya's GUI on a RTX 3090](https://powergpu.ai/templates/kohya-s-gui) - Sizing help: [LLM VRAM requirements guide](https://powergpu.ai/guides/llm-vram-requirements) ## RTX 3090 availability by region 345 × RTX 3090 across 30 machines, live from inventory: - São Paulo - Sydney - Chicago, IL - Los Angeles, CA - Montréal - Amsterdam - Paris - Stockholm - Warsaw - Querétaro - Singapore - Jakarta - +7 more ## RTX 3090 vs alternatives: price per TFLOP | GPU | VRAM | FP16 | On-demand | $ / TFLOP-hr | | --- | --- | --- | --- | --- | | **RTX 3090** (this card) | 24 GB | 142 | $0.108 | $0.76‰ | | [RTX 3080 Ti](https://powergpu.ai/gpu/rtx-3080-ti) | 12 GB | 136 | $0.094 | $0.69‰ | | [RTX 3080](https://powergpu.ai/gpu/rtx-3080) | 10 GB | 119 | $0.075 | $0.63‰ | | [RTX 3090 Ti](https://powergpu.ai/gpu/rtx-3090-ti) | 24 GB | 160 | $0.147 | $0.92‰ | | [RTX 3070 Ti](https://powergpu.ai/gpu/rtx-3070-ti) | 8 GB | 87 | $0.066 | $0.76‰ | ‰ = dollars per 1,000 TFLOP-hours of FP16 — a rough value-for-compute yardstick across cards. - [RTX 4090 vs RTX 3090](https://powergpu.ai/compare/rtx-4090-vs-rtx-3090) — specs, price per hour, which to rent - [Tesla V100 vs RTX 3090](https://powergpu.ai/compare/tesla-v100-vs-rtx-3090) — specs, price per hour, which to rent - [RTX 3090 vs RTX 3060](https://powergpu.ai/compare/rtx-3090-vs-rtx-3060) — specs, price per hour, which to rent - [All GPU comparisons](https://powergpu.ai/compare) ## Renting a RTX 3090: frequently asked questions **How much does it cost to rent an NVIDIA RTX 3090 per hour?** $0.108 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $0.15. Interruptible capacity costs $0.054/hr and a 3-month reservation $0.070/hr. Around $79/month if you keep one running non-stop, billed per second. **What can a RTX 3090 with 24 GB VRAM run?** In LLM terms, roughly a 8B-parameter model in FP16 or up to ~32B 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 3090 available to rent right now?** Yes — 345 GPUs across 30 machines in 19 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 3090?** Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by RTX 3090, 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-3090 --template pytorch. **Why is the RTX 3090 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-3090 · Site index for AI assistants: https://powergpu.ai/llms.txt · Full content: https://powergpu.ai/llms-full.txt