--- title: "Rent L40S — $0.514/hr Cloud GPU Pricing (2026) | PowerGPU" description: "Rent the L40S (48 GB GDDR6) from $0.257/hr interruptible or $0.514/hr on-demand — fixed, ≥30% below market. 107 GPUs in 8 regions, per-second billing." url: https://powergpu.ai/gpu/l40s last_modified: 2026-09-14T11:04:20+00:00 prices_as_of: 2026-09-14 site: PowerGPU (powergpu.ai) --- Datacenter · Ada Lovelace · launched 2023 · prices checked 2026-09-14 # Rent NVIDIA L40S — 48 GB, $0.514/hr on-demand - VRAM 48 GB GDDR6 - FP16 tensor 362 TFLOPS - PowerScore 255 RTX 3090 = 100 - Configs 1–8× PCIe 4.0 - Online now 107 8 regions [On-demand (guaranteed) $0.514 /GPU-hr ≈ $375/mo · market ~~$0.74~~ (−30%)](https://cloud.powergpu.ai/?gpu=l40s) [Interruptible $0.257 /GPU-hr flat −50% · pausable, disk kept](https://cloud.powergpu.ai/?gpu=l40s&type=spot) [Reserved 3 mo $0.334 /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. Datacenter · Ada Lovelace architecture The L40S is NVIDIA's universal datacenter card for Ada: 48 GB GDDR6, 18,176 CUDA cores, FP8 support and passive cooling at 350 W. It is the go-to for 24/7 inference endpoints, SDXL/Flux serving and 32B-class LLMs — server-grade reliability at a consumer-adjacent price. A server-class card built for sustained 24/7 load: passive cooling in proper chassis, ECC memory, and drivers validated for compute. The sweet spot for inference fleets and fine-tuning jobs that need stability more than headline FLOPS. ## NVIDIA L40S specs: VRAM, TFLOPS, bandwidth - **GPU model**: NVIDIA L40S · **Architecture**: Ada Lovelace (2023) - **VRAM**: 48 GB GDDR6 · **Memory bandwidth**: 864 GB/s - **FP16 tensor perf.**: 362 TFLOPS · **FP32 perf.**: 91.6 TFLOPS - **CUDA cores**: 18,176 · **TDP**: 350 W - **PowerScore ((RTX 3090 = 100))**: 255 · **PCIe generation**: Gen 4.0 - **Multi-GPU**: 1× – 8× · **Max instance storage**: 8,000 GB NVMe - **Network up to**: 5,000 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. ## L40S price per hour: on-demand, interruptible, reserved One public rule sets every price on this page: the marketplace median for the L40S ($0.74/hr, snapshot 2026-09-14) × 0.70, rounded down — so on-demand is $0.514, **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** | $0.514 | $12.34 | $375 | Guaranteed capacity, price locked at deploy, stop anytime | | **Interruptible** | $0.257 | $6.17 | $188 | Flat −50%; may pause under capacity pressure, disk kept, auto-requeue | | **Reserved (3 months)** | $0.334 | $8.02 | $244 | −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 L40S (48 GB VRAM) With 48 GB of GDDR6, a single card holds a **~14B-parameter LLM in FP16** or up to **~72B 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 $0.514. - Recommended for [llm inference](https://powergpu.ai/use-cases/llm-inference) — Best $/token in class - Recommended for [image generation](https://powergpu.ai/use-cases/image-generation) — Flux dev ~2 s/image on 4090 - Recommended for [video generation](https://powergpu.ai/use-cases/video-generation) — 32–141 GB VRAM on tap - One-click template: [vLLM on a L40S](https://powergpu.ai/templates/vllm) - One-click template: [PyTorch on a L40S](https://powergpu.ai/templates/pytorch) - One-click template: [ComfyUI on a L40S](https://powergpu.ai/templates/comfyui) - Sizing help: [LLM VRAM requirements guide](https://powergpu.ai/guides/llm-vram-requirements) ## L40S availability by region 107 × L40S across 10 machines, live from inventory: - London - Frankfurt - Ashburn, VA - Chicago, IL - Sydney - Los Angeles, CA - Singapore - Seattle, WA ## L40S vs alternatives: price per TFLOP | GPU | VRAM | FP16 | On-demand | $ / TFLOP-hr | | --- | --- | --- | --- | --- | | **L40S** (this card) | 48 GB | 362 | $0.514 | $1.42‰ | | [A800 PCIE](https://powergpu.ai/gpu/a800-pcie) | 80 GB | 240 | $0.466 | $1.94‰ | | [A100 PCIE](https://powergpu.ai/gpu/a100-pcie) | 80 GB | 312 | $0.374 | $1.20‰ | | [A40](https://powergpu.ai/gpu/a40) | 48 GB | 144 | $0.765 | $5.31‰ | | [L40](https://powergpu.ai/gpu/l40) | 48 GB | 181 | $0.235 | $1.30‰ | ‰ = dollars per 1,000 TFLOP-hours of FP16 — a rough value-for-compute yardstick across cards. - [RTX 4090 vs L40S](https://powergpu.ai/compare/rtx-4090-vs-l40s) — specs, price per hour, which to rent - [L40S vs A100 PCIE](https://powergpu.ai/compare/l40s-vs-a100-pcie) — specs, price per hour, which to rent - [L40S vs H100 PCIE](https://powergpu.ai/compare/l40s-vs-h100-pcie) — specs, price per hour, which to rent - [RTX 5090 vs L40S](https://powergpu.ai/compare/rtx-5090-vs-l40s) — specs, price per hour, which to rent - [All GPU comparisons](https://powergpu.ai/compare) ## Renting a L40S: frequently asked questions **How much does it cost to rent an NVIDIA L40S per hour?** $0.514 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $0.74. Interruptible capacity costs $0.257/hr and a 3-month reservation $0.334/hr. Around $375/month if you keep one running non-stop, billed per second. **What can a L40S with 48 GB VRAM run?** In LLM terms, roughly a 14B-parameter model in FP16 or up to ~72B 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 L40S available to rent right now?** Yes — 107 GPUs across 10 machines in 8 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 L40S?** Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by L40S, pick a machine and a template such as PyTorch, vLLM or ComfyUI. The same deploy is one command with the CLI: powergpu launch --gpu l40s --template pytorch. **Why is the L40S 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/l40s · Site index for AI assistants: https://powergpu.ai/llms.txt · Full content: https://powergpu.ai/llms-full.txt