Instant Access to NVIDIA L40 GPUs

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

Built on NVIDIA’s Ada Lovelace architecture, the L40 offers 48GB of memory and advanced Tensor and RT Cores, delivering exceptional performance for complex workloads. Rent on Runpod for flexible, secure computing at competitive rates, starting from $0.69/hr.

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 advanced Tensor and 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 multiple precision types and structural sparsity for accelerated computation.
• The L40S offers enhanced performance for certain workloads compared to the base L40.

Graphics and Visualization Capabilities

• Third-generation RT Cores power real-time ray tracing, VR/AR, and visualization tasks.
• Excellent for architectural visualization and media production 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.
• Fully compatible with NVIDIA’s enterprise software stack and major AI frameworks.

Comparison with Other GPUs

While the H100 offers peak performance, the L40 provides a strong value proposition for mixed AI and graphics workloads. The L40S enhances this further with optimized throughput for select use cases.

Specifications

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FAQ

How much does it cost to rent an L40 GPU?

Runpod offers rates starting at $0.69/hr for Community Cloud and $0.99/hr for Secure Cloud. Prices may vary by provider and market conditions.

What’s the difference between Secure Cloud and Community Cloud?

• Secure Cloud: Enterprise-grade compliance and security — ideal for sensitive workloads.
• Community Cloud: Cost-effective, flexible option for individual developers and early-stage startups.

Is there a minimum rental period?

No — Runpod and similar platforms offer per-second billing, so you only pay for what you use.

How does billing work?

Runpod bills by the second, ensuring maximum cost efficiency, especially for short or bursty workloads.

How do I get started?

1. Sign up on Runpod.
2. Select an L40 instance.
3. Access your GPU via pre-configured environments with frameworks like PyTorch and TensorFlow.

What frameworks are compatible?

• PyTorch
• TensorFlow
• NVIDIA CUDA Toolkit
• And most other major ML libraries

Can I use the L40 for both training and inference?

Yes — the L40 is designed for both, with 48GB of memory and advanced Tensor Cores supporting large-scale AI models.

How does the L40 compare to the H100 or A100?

While H100/A100 deliver higher raw throughput, the L40 strikes a better price-performance balance, especially for mixed workloads (e.g., AI + graphics or image generation).

What types of AI models work best?

• LLM fine-tuning
• Inference workloads
• Computer vision
• Generative AI (e.g., Stable Diffusion)
• Reinforcement learning

Is the L40 good for generative AI?

Yes — the L40’s Tensor and RT Cores are especially effective for tools like Stable Diffusion, combining high-speed inference with top-tier rendering.

Can multiple users share an L40 GPU?

Yes, via virtualization. For heavy training tasks, however, dedicating the GPU to a single user is more effective.

What advantages does the L40 have over consumer GPUs?

• 48GB of ECC memory
• Better reliability and uptime
• Optimized drivers for data center use
• Superior multi-GPU scaling
• Designed for hybrid AI and graphics workloads

What challenges might I face?

• Managing long-term rental costs
• Adjusting workflows to cloud-based infrastructure
• Ensuring consistent network throughput
• Potential latency for data-heavy tasks

How can I ensure data security?

Use Secure Cloud on Runpod. Also:

• Encrypt data in transit and at rest
• Use VPN or SSH tunneling
• Apply strong access controls and credential management

What should I consider when comparing rental providers?

• Pricing and billing models
• Availability and uptime
• Software stack support
• Security/compliance certifications
• Customer support quality
• Network performance

When should I rent vs. buy?

Rent if:

• You need scalability and flexibility
• You want to avoid upfront capital costs
• Your workloads are project-based
• You’re experimenting with AI workloads

Buy if:

• You run intensive workloads continuously
• You need total control over hardware and environment