--- title: "Rent L4 — $0.225/hr Cloud GPU Pricing (2026) | PowerGPU" description: "Rent the L4 (24 GB GDDR6) from $0.112/hr interruptible or $0.225/hr on-demand — fixed, ≥30% below market. 28 GPUs in 4 regions, per-second billing." url: https://powergpu.ai/gpu/l4 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 L4 — 24 GB, $0.225/hr on-demand - VRAM 24 GB GDDR6 - FP16 tensor 121 TFLOPS - PowerScore 85 RTX 3090 = 100 - Configs 1–4× PCIe 4.0 - Online now 28 4 regions [On-demand (guaranteed) $0.225 /GPU-hr ≈ $164/mo · market ~~$0.32~~ (−30%)](https://cloud.powergpu.ai/?gpu=l4) [Interruptible $0.112 /GPU-hr flat −50% · pausable, disk kept](https://cloud.powergpu.ai/?gpu=l4&type=spot) [Reserved 3 mo $0.146 /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 L4 is the efficient inference card: 24 GB GDDR6 at just 72 W, single-slot, Ada tensor cores and dual NVENC/NVDEC engines. It is the right rental for video transcoding pipelines, small-model APIs and batch embeddings where power and price matter more than peak FLOPS. 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 L4 specs: VRAM, TFLOPS, bandwidth - **GPU model**: NVIDIA L4 · **Architecture**: Ada Lovelace (2023) - **VRAM**: 24 GB GDDR6 · **Memory bandwidth**: 300 GB/s - **FP16 tensor perf.**: 121 TFLOPS · **FP32 perf.**: 30.3 TFLOPS - **CUDA cores**: 7,680 · **TDP**: 72 W - **PowerScore ((RTX 3090 = 100))**: 85 · **PCIe generation**: Gen 4.0 - **Multi-GPU**: 1× – 4× · **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. ## L4 price per hour: on-demand, interruptible, reserved One public rule sets every price on this page: the marketplace median for the L4 ($0.32/hr, snapshot 2026-09-14) × 0.70, rounded down — so on-demand is $0.225, **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** | $0.225 | $5.40 | $164 | Guaranteed capacity, price locked at deploy, stop anytime | | **Interruptible** | $0.112 | $2.69 | $82 | Flat −50%; may pause under capacity pressure, disk kept, auto-requeue | | **Reserved (3 months)** | $0.146 | $3.50 | $107 | −35% on on-demand, rate locked for the term, capacity held | Per GPU: an 4× machine costs exactly 4× — 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 L4 (24 GB VRAM) With 24 GB of GDDR6, 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 4× GPUs on one machine for bigger models or bigger batches — the per-GPU price stays $0.225. - One-click template: [vLLM on a L4](https://powergpu.ai/templates/vllm) - One-click template: [PyTorch on a L4](https://powergpu.ai/templates/pytorch) - One-click template: [ComfyUI on a L4](https://powergpu.ai/templates/comfyui) - Sizing help: [LLM VRAM requirements guide](https://powergpu.ai/guides/llm-vram-requirements) ## L4 availability by region 28 × L4 across 4 machines, live from inventory: - São Paulo - Montréal - Amsterdam - Frankfurt ## L4 vs alternatives: price per TFLOP | GPU | VRAM | FP16 | On-demand | $ / TFLOP-hr | | --- | --- | --- | --- | --- | | **L4** (this card) | 24 GB | 121 | $0.225 | $1.86‰ | | [L40](https://powergpu.ai/gpu/l40) | 48 GB | 181 | $0.235 | $1.30‰ | | [A10](https://powergpu.ai/gpu/a10) | 24 GB | 125 | $0.168 | $1.34‰ | | [Tesla V100](https://powergpu.ai/gpu/tesla-v100) | 16 GB | 125 | $0.130 | $1.04‰ | | [Tesla T4](https://powergpu.ai/gpu/tesla-t4) | 16 GB | 65 | $0.103 | $1.58‰ | ‰ = dollars per 1,000 TFLOP-hours of FP16 — a rough value-for-compute yardstick across cards. - [L4 vs Tesla T4](https://powergpu.ai/compare/l4-vs-tesla-t4) — specs, price per hour, which to rent - [L4 vs A10](https://powergpu.ai/compare/l4-vs-a10) — specs, price per hour, which to rent - [All GPU comparisons](https://powergpu.ai/compare) ## Renting a L4: frequently asked questions **How much does it cost to rent an NVIDIA L4 per hour?** $0.225 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $0.32. Interruptible capacity costs $0.112/hr and a 3-month reservation $0.146/hr. Around $164/month if you keep one running non-stop, billed per second. **What can a L4 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 4× on current inventory) multiply that; diffusion and rendering workloads fit comfortably at this VRAM class. **Is the L4 available to rent right now?** Yes — 28 GPUs across 4 machines in 4 regions are listed as we render this page. Configurations go from 1× to 4×. Deploy from the console and it is running in about 30 seconds. **How do I deploy a L4?** Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by L4, pick a machine and a template such as PyTorch, vLLM or ComfyUI. The same deploy is one command with the CLI: powergpu launch --gpu l4 --template pytorch. **Why is the L4 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/l4 · Site index for AI assistants: https://powergpu.ai/llms.txt · Full content: https://powergpu.ai/llms-full.txt