Rent L40 in the Cloud – Deploy in Seconds on Runpod

Instant Access to NVIDIA L40 GPUs

Get instant access to NVIDIA L40 GPUs—ideal for AI model training, real-time rendering, and generative AI—with hourly pricing, global availability, and fast deployment on Runpod.

Built on NVIDIA's Ada Lovelace architecture, the L40 offers 48GB of GDDR6 ECC memory, fourth-generation Tensor Cores, and third-generation RT Cores, delivering exceptional performance for both compute and visualization workloads. Rent on Runpod for flexible, secure computing at competitive rates—see the Runpod pricing page for current availability and rates.

Why Choose the NVIDIA L40

The NVIDIA L40 GPU combines cutting-edge AI acceleration with exceptional graphics capabilities, offering unmatched versatility for both AI and visualization tasks. It features fourth-generation Tensor Cores and third-generation RT Cores, making it ideal for everything from deep learning to real-time ray tracing.

Benefits

AI and Machine Learning Performance

• Fourth-generation Tensor Cores enable outstanding performance for LLM training, inference, and generative AI.
• Supports FP8 precision and structural sparsity for accelerated computation.
• Delivers 5X higher inference performance compared to the previous generation for image generative AI applications.

Graphics and Visualization Capabilities

• Third-generation RT Cores deliver up to 2X the real-time ray-tracing performance of the previous generation for VR/AR, rendering, and visualization tasks.
• Excellent for architectural visualization, virtual production, and media pipelines.

Versatility and Efficiency

• A cost-effective solution for teams working on both AI and graphics workloads.
• Optimized performance-per-watt leads to savings in compute environments and data centers.

Enterprise-Grade Reliability

• ECC memory for data integrity in production workloads.
• NEBS Level 3 compliant, secure boot with root of trust, and full compatibility with NVIDIA's enterprise software stack and major AI frameworks.

Comparison with Other GPUs

While the H100 offers peak performance for large-scale distributed training, the L40 provides a strong value proposition for mixed AI and graphics workloads at a lower price point. The L40S is a distinct GPU with different specifications and a higher TDP (350W vs. 300W), offering enhanced AI throughput for certain inference workloads—see Runpod's GPU comparison pages for a side-by-side breakdown.

Specifications

‍

FAQ

How much does it cost to rent an L40 GPU on Runpod?

For current L40 rental rates on Runpod—including Community Cloud and Secure Cloud options—refer to the Runpod pricing page.

What’s the difference between the L40 and L40S?

The L40 and L40S are distinct GPUs with different specifications. The L40 has a 300W TDP and is optimized for a balance of AI compute and professional graphics workloads. The L40S has a higher 350W TDP, more AI-focused tensor throughput, and is better suited to pure inference workloads at scale. See the Runpod pricing page to compare availability and rates for both.

Does the L40 support MIG (Multi-Instance GPU)?

No. Unlike the A100 and H100, the NVIDIA L40 does not support Multi-Instance GPU (MIG) partitioning. Each rental instance uses the full GPU. If MIG support is required for your workload, consider the A100 or H100 PCIe.

Does the L40 support NVLink?

No, the L40 does not support NVLink. Multi-GPU communication is handled via PCIe. If high-bandwidth GPU-to-GPU interconnect is critical for your workload (e.g., large distributed training runs), the H100 SXM is a better fit.

Is there a minimum rental period?

No—Runpod bills by the second, so you only pay for what you use with no minimum commitment.

What frameworks are compatible with the L40?

• PyTorch
• TensorFlow
• NVIDIA CUDA Toolkit (12.0 or later)
• Most other major ML libraries and container environments

Can I use the L40 for both training and inference?

Yes—the L40's fourth-generation Tensor Cores with FP8 support make it capable of both training and inference. It is particularly well-suited for single-GPU AI training, development workloads, and generative AI inference for image and multimodal models.

How does the L40 compare to the H100 or A100?

The L40 offers strong price-performance for mixed AI and graphics workloads but does not match the H100 or A100 for large-scale distributed training. The A100 and H100 both support MIG and NVLink, enabling multi-tenant workloads and high-bandwidth multi-GPU scaling that the L40 cannot match. The L40's 48GB GDDR6 memory and RT Core capabilities make it uniquely suited for workloads that blend compute and visualization.

What types of AI models work best on the L40?

• LLM fine-tuning (small to mid-sized models)
• Inference for small to medium LLMs and multimodal models
• Generative AI (e.g., image generation with Stable Diffusion)
• Computer vision and video AI pipelines
• Reinforcement learning

Is the L40 good for generative AI?

Yes—the L40 was specifically designed with image generative AI in mind, delivering 5X higher inference performance compared to the previous generation for these workloads. The combination of Tensor Cores and RT Cores makes it particularly effective for tools like Stable Diffusion.

What advantages does the L40 have over consumer GPUs?

• 48GB of ECC GDDR6 memory for data integrity
• Enterprise-grade reliability and NEBS Level 3 compliance
• Optimized data center drivers and software stack
• PCIe SR-IOV support with up to 32 virtual functions
• Designed for 24/7 data center operation

How can I ensure data security on a rented L40?

Use Secure Cloud on Runpod for enterprise-grade isolation. The L40 also includes hardware-level secure boot with root of trust technology. For Runpod's full security and compliance details, see Runpod compliance.

When should I rent vs. buy an L40?

Rent if you need scalability and flexibility, want to avoid upfront capital costs, have project-based or bursty workloads, or are experimenting with AI. Buy if you run continuous intensive workloads and need full hardware control. For current rates to inform your decision, see the Runpod pricing page.

‍