--- title: "Rent Q RTX 5000 — $0.074/hr Cloud GPU Pricing (2026) | LowCostGPU" description: "Rent the Q RTX 5000 (16 GB GDDR6) from $0.037/hr interruptible or $0.074/hr on-demand — fixed, ≥30% below market. 7 GPUs in 0 regions, per-second billing." url: https://lowcostgpu.com/gpu/q-rtx-5000 last_modified: 2026-10-20T10:29:15+00:00 prices_as_of: 2026-10-19 site: LowCostGPU (lowcostgpu.com) --- Previous gen · Turing · prices checked 2026-10-19 # Rent NVIDIA Q RTX 5000 — 16 GB, $0.074/hr on-demand - VRAM 16 GB GDDR6 - FP16 tensor 48 TFLOPS - PowerScore 34 RTX 3090 = 100 - Configs 1–1× PCIe 3.0 - Online now 7 0 regions [On-demand (guaranteed) $0.074 /GPU-hr ≈ $54/mo · market ~~$0.11~~ (−30%)](https://cloud.lowcostgpu.com/?gpu=q-rtx-5000) [Interruptible $0.037 /GPU-hr flat −50% · pausable, disk kept](https://cloud.lowcostgpu.com/?gpu=q-rtx-5000&type=spot) [Reserved 3 mo $0.048 /GPU-hr −35% · capacity held for you](https://lowcostgpu.com/products/reserved) Billed per second, price locked at deploy. Storage $0.08/GB/mo · bandwidth $0.01/GB — [the whole fee schedule](https://lowcostgpu.com/pricing). Next weekly market re-check: 2026-10-26. Previous gen · Turing architecture 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 Q RTX 5000 specs: VRAM, TFLOPS, bandwidth - **GPU model**: NVIDIA Q RTX 5000 · **Architecture**: Turing - **VRAM**: 16 GB GDDR6 · **Memory bandwidth**: — - **FP16 tensor perf.**: 48 TFLOPS · **FP32 perf.**: — - **CUDA cores**: — · **TDP**: — - **PowerScore ((RTX 3090 = 100))**: 34 · **PCIe generation**: Gen 3.0 - **Multi-GPU**: 1× – 1× · **Max instance storage**: 0 GB NVMe - **Network up to**: 0 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. ## Q RTX 5000 price per hour: on-demand, interruptible, reserved One public rule sets every price on this page: the marketplace median for the Q RTX 5000 ($0.11/hr, snapshot 2026-10-19) × 0.70, rounded down — so on-demand is $0.074, **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** | $0.074 | $1.78 | $54 | 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 1× machine costs exactly 1× — no multi-GPU premium. Estimate a full month with storage and bandwidth in the [GPU cost calculator](https://lowcostgpu.com/calculator). ## What you can run on a Q RTX 5000 (16 GB VRAM) With 16 GB of GDDR6, 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 1× GPUs on one machine for bigger models or bigger batches — the per-GPU price stays $0.074. - One-click template: [Ollama on a Q RTX 5000](https://lowcostgpu.com/templates/ollama) - One-click template: [SD WebUI Forge on a Q RTX 5000](https://lowcostgpu.com/templates/sd-webui-forge) - One-click template: [Whisper WebUI & API on a Q RTX 5000](https://lowcostgpu.com/templates/whisper-webui-api) - Sizing help: [LLM VRAM requirements guide](https://lowcostgpu.com/guides/llm-vram-requirements) ## Q RTX 5000 availability by region 7 × Q RTX 5000 across 0 machines, live from inventory: ## Q RTX 5000 vs alternatives: price per TFLOP | GPU | VRAM | FP16 | On-demand | $ / TFLOP-hr | | --- | --- | --- | --- | --- | | **Q RTX 5000** (this card) | 16 GB | 48 | $0.074 | $1.54‰ | | [RTX A4000](https://lowcostgpu.com/gpu/rtx-a4000) | 16 GB | 76 | $0.093 | $1.22‰ | | [Quadro P4000](https://lowcostgpu.com/gpu/quadro-p4000) | 8 GB | 8 | $0.038 | $4.75‰ | | [RTX A2000](https://lowcostgpu.com/gpu/rtx-a2000) | 6 GB | 32 | $0.036 | $1.13‰ | | [Titan RTX](https://lowcostgpu.com/gpu/titan-rtx) | 24 GB | 65 | $0.122 | $1.88‰ | ‰ = dollars per 1,000 TFLOP-hours of FP16 — a rough value-for-compute yardstick across cards. ## Renting a Q RTX 5000: frequently asked questions **How much does it cost to rent an NVIDIA Q RTX 5000 per hour?** $0.074 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 $54/month if you keep one running non-stop, billed per second. **What can a Q RTX 5000 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 1× on current inventory) multiply that; diffusion and rendering workloads fit comfortably at this VRAM class. **Is the Q RTX 5000 available to rent right now?** Yes — 7 GPUs across 0 machines in 0 regions are listed as we render this page. Configurations go from 1× to 1×. Deploy from the console and it is running in about 30 seconds. **How do I deploy a Q RTX 5000?** Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by Q RTX 5000, pick a machine and a template such as PyTorch, vLLM or ComfyUI. The same deploy is one command with the CLI: lowcostgpu launch --gpu q-rtx-5000 --template pytorch. **Why is the Q RTX 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 2026-10-26) and published — no auctions, no per-host roulette, no bidding. --- *About LowCostGPU:* LowCostGPU (lowcostgpu.com) is a cloud GPU rental service offering 83 NVIDIA GPU models — from the Tesla P4 at $0.019/hr to the B300 — at fixed prices set at least 30% below the public GPU marketplace median and re-checked weekly (H100 SXM: $1.680/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.lowcostgpu.com) or the REST API. Source: https://lowcostgpu.com/gpu/q-rtx-5000 · Site index for AI assistants: https://lowcostgpu.com/llms.txt · Full content: https://lowcostgpu.com/llms-full.txt