--- title: "Rent RTX PRO 5000 — $0.560/hr Cloud GPU Pricing (2026) | PowerGPU" description: "Rent the RTX PRO 5000 (32 GB GDDR7) from $0.280/hr interruptible or $0.560/hr on-demand — fixed, ≥30% below market. 53 GPUs in 6 regions, per-second billing." url: https://powergpu.ai/gpu/rtx-pro-5000 last_modified: 2026-09-14T11:04:20+00:00 prices_as_of: 2026-09-14 site: PowerGPU (powergpu.ai) --- Workstation · Blackwell · launched 2025 · prices checked 2026-09-14 # Rent NVIDIA RTX PRO 5000 — 32 GB, $0.560/hr on-demand - VRAM 32 GB GDDR7 - FP16 tensor 280 TFLOPS - PowerScore 197 RTX 3090 = 100 - Configs 1–8× PCIe 5.0 - Online now 53 6 regions [On-demand (guaranteed) $0.560 /GPU-hr ≈ $409/mo · market ~~$0.80~~ (−30%)](https://cloud.powergpu.ai/?gpu=rtx-pro-5000) [Interruptible $0.280 /GPU-hr flat −50% · pausable, disk kept](https://cloud.powergpu.ai/?gpu=rtx-pro-5000&type=spot) [Reserved 3 mo $0.364 /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. Workstation · Blackwell architecture The RTX PRO 5000 Blackwell is the mid-range professional card: Blackwell tensor cores, ECC GDDR7 and a 300 W envelope. A sensible rental for inference of 14B–32B models, batch image generation and viewport-heavy rendering that does not need the 96 GB flagship. Workstation silicon with ECC memory and studio-certified drivers. Renderers (Blender, Octane, Redshift), CAD and simulation get the large VRAM they want without paying datacenter-flagship rates — and per-second billing suits render queues perfectly. ## NVIDIA RTX PRO 5000 specs: VRAM, TFLOPS, bandwidth - **GPU model**: NVIDIA RTX PRO 5000 · **Architecture**: Blackwell (2025) - **VRAM**: 32 GB GDDR7 · **Memory bandwidth**: 1,344 GB/s - **FP16 tensor perf.**: 280 TFLOPS · **FP32 perf.**: 74.0 TFLOPS - **CUDA cores**: 14,080 · **TDP**: 300 W - **PowerScore ((RTX 3090 = 100))**: 197 · **PCIe generation**: Gen 5.0 - **Multi-GPU**: 1× – 8× · **Max instance storage**: 8,000 GB NVMe - **Network up to**: 10,000 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. ## RTX PRO 5000 price per hour: on-demand, interruptible, reserved One public rule sets every price on this page: the marketplace median for the RTX PRO 5000 ($0.80/hr, snapshot 2026-09-14) × 0.70, rounded down — so on-demand is $0.560, **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** | $0.560 | $13.44 | $409 | Guaranteed capacity, price locked at deploy, stop anytime | | **Interruptible** | $0.280 | $6.72 | $204 | Flat −50%; may pause under capacity pressure, disk kept, auto-requeue | | **Reserved (3 months)** | $0.364 | $8.74 | $266 | −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 PRO 5000 (32 GB VRAM) With 32 GB of GDDR7, a single card holds a **~13B-parameter LLM in FP16** or up to **~49B 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 $0.560. - One-click template: [Linux Desktop on a RTX PRO 5000](https://powergpu.ai/templates/linux-desktop) - One-click template: [ComfyUI on a RTX PRO 5000](https://powergpu.ai/templates/comfyui) - One-click template: [Ubuntu Desktop VM on a RTX PRO 5000](https://powergpu.ai/templates/ubuntu-desktop-vm) - Sizing help: [LLM VRAM requirements guide](https://powergpu.ai/guides/llm-vram-requirements) ## RTX PRO 5000 availability by region 53 × RTX PRO 5000 across 8 machines, live from inventory: - London - Los Angeles, CA - Helsinki - Singapore - Montréal - Tokyo ## RTX PRO 5000 vs alternatives: price per TFLOP | GPU | VRAM | FP16 | On-demand | $ / TFLOP-hr | | --- | --- | --- | --- | --- | | **RTX PRO 5000** (this card) | 32 GB | 280 | $0.560 | $2.00‰ | | [RTX 6000Ada](https://powergpu.ai/gpu/rtx-6000ada) | 48 GB | 364 | $0.467 | $1.28‰ | | [RTX 5880Ada](https://powergpu.ai/gpu/rtx-5880ada) | 48 GB | 340 | $0.420 | $1.24‰ | | [RTX 5000Ada](https://powergpu.ai/gpu/rtx-5000ada) | 32 GB | 190 | $0.369 | $1.94‰ | | [RTX A6000](https://powergpu.ai/gpu/rtx-a6000) | 48 GB | 155 | $0.281 | $1.81‰ | ‰ = dollars per 1,000 TFLOP-hours of FP16 — a rough value-for-compute yardstick across cards. ## Renting a RTX PRO 5000: frequently asked questions **How much does it cost to rent an NVIDIA RTX PRO 5000 per hour?** $0.560 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $0.80. Interruptible capacity costs $0.280/hr and a 3-month reservation $0.364/hr. Around $409/month if you keep one running non-stop, billed per second. **What can a RTX PRO 5000 with 32 GB VRAM run?** In LLM terms, roughly a 13B-parameter model in FP16 or up to ~49B 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 PRO 5000 available to rent right now?** Yes — 53 GPUs across 8 machines in 6 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 PRO 5000?** Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by RTX PRO 5000, 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-pro-5000 --template pytorch. **Why is the RTX PRO 5000 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-pro-5000 · Site index for AI assistants: https://powergpu.ai/llms.txt · Full content: https://powergpu.ai/llms-full.txt