Rent NVIDIA L40 GPU

NVIDIA L40 specifications and rental details

Is NVIDIA L40 the right GPU for your workload?

48GB VRAM gives more room for quantized large models, LoRA fine-tuning, longer context, rendering, and concurrent inference than a 24GB GPU. This card ships GDDR6.

Choose this datacenter-class accelerator for model serving, training, fine-tuning, scientific compute, or sustained production workloads where accelerator memory and platform features matter.

Ada Lovelace trades flagship datacenter throughput for efficiency: strong CUDA per watt plus RT and media engines, which is why 48GB here suits inference, generative media, and workstation mixes.

Typical workloads: Inference, media, rendering, and virtual workstations.

Where NVIDIA L40 bottlenecks

Ada cards are PCIe-bound on large host transfers and lack datacenter NVLink fabrics; keep models resident and batch on-card instead of scaling out. Memory bandwidth on record is 864 GB/s.

Nearby alternatives to NVIDIA L40

• NVIDIA L4 — 24GB, Ada Lovelace, Supported by Lumino; check current L4 stock and pricing.
• NVIDIA L40S — 48GB, Ada Lovelace, Supported by Lumino; check current L40S stock and pricing.
• NVIDIA A40 — 48GB, Ampere, Supported by Lumino; check current A40 stock and pricing.

Compare the complete Lumino GPU fleet

What fits in 48GB of VRAM: Efficient memory for inference and media

• 30B-70B quantized models: INT4 and INT8 builds of large models fit in 48GB for inference and experimentation.
• LoRA fine-tuning: Adapter training with longer sequences and larger batches than 24GB GPUs allow.
• Parallel workloads: Run inference and background experiments side by side without memory pressure.
• On this card: On this card: GDDR6 memory, launched 2022, 864 GB/s bandwidth.

How to rent NVIDIA L40

1. Open the filtered marketplace result and confirm current stock and price.
2. Select storage and a public Docker image for the workload.
3. Start the rental, then connect over SSH or the browser terminal.
4. Stop or terminate the pod when the job finishes and review any persistent-storage charge.

Open current L40 inventory

For serverless inference, compare Lumino hosted model APIs and review the developer documentation.

NVIDIA L40 rental FAQ

Can I rent NVIDIA L40 on Lumino AI?

Yes, Lumino AI maintains an explicit catalog entry for this GPU. NVIDIA L40 is part of the Lumino rental catalog; check current stock or create an Auto-rent request in the marketplace.

What is NVIDIA L40 best used for?

Inference, media, rendering, and virtual workstations. Actual fit depends on model precision, batch size, context length, framework overhead, and concurrent users.

How much does NVIDIA L40 rental cost in India?

The hourly rate is listed live in the marketplace with per-second INR billing. Total job cost is rate times runtime plus any persistent storage.

What fits in 48GB of VRAM?

48GB VRAM gives more room for quantized large models, LoRA fine-tuning, longer context, rendering, and concurrent inference than a 24GB GPU. This card ships GDDR6. Keep 20-30 percent headroom above the raw model weights for context and batch size.

NVIDIA L40 vs NVIDIA L4?

The NVIDIA L4 is the closest rentable alternative by category and memory. Pick by VRAM fit first, then hourly rate.

Is this GPU power-efficient on NVIDIA L40?

Ada Lovelace cards deliver strong CUDA throughput per watt, which is part of why their hourly rates sit below flagship datacenter tiers for inference and media work.

Can this GPU do rendering as well as AI?

Yes. Ada cards carry RT cores and media engines alongside CUDA cores, so the same rental covers Blender, NVENC encoding, and virtual-workstation sessions.

Does the rental include SSH and Docker?

Yes. Lumino supports SSH, a browser terminal, and public Docker images for supported CUDA workloads.