Rent L40 in the Cloud – Deploy in Seconds on RunPod

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. Built on the Ada Lovelace architecture, it features advanced Tensor and RT Cores, making it ideal for diverse computing needs, from deep learning to real-time ray tracing. Benefits AI and Machine Learning Performance The L40's fourth-generation Tensor Cores deliver remarkable performance for large language model training and inference, generative AI tasks, and complex neural architectures, making it one of the best GPUs for AI models. Its support for multiple precision types and structural sparsity accelerates AI models effectively. For users comparing the L40S vs L40 performance, the L40S offers enhancements that may benefit specific workloads. Graphics and Visualization Capabilities Equipped with third-generation RT Cores, the L40 excels in real-time ray tracing, professional visualization, and VR/AR applications, making it ideal for industries such as architectural visualization and media production. Versatility and Efficiency By excelling in both AI and graphics tasks, the L40 offers a cost-effective solution for organizations requiring high performance across multiple domains. Its optimized performance per watt leads to significant cost savings in data centers. Enterprise-Grade Reliability The L40 ensures data integrity with ECC memory and supports NVIDIA's enterprise software stack, providing compatibility with major AI frameworks and visualization tools for uninterrupted productivity. Comparison with Other GPUs While the H100 offers higher peak performance, the L40 provides a balanced option for those who don't require absolute peak GPU power, offering better value for mixed AI and graphics workloads. For those interested in understanding the differences between NVIDIA L40 and L40S, the L40S is an enhanced version offering improved performance in certain areas. Specifications Feature Value

GPU Architecture NVIDIA Ada Lovelace GPU Memory 48 GB GDDR6 with ECC support Memory Bandwidth 864 GB/s RT Core Performance 209 TFLOPS FP32 Performance 90.5 TFLOPS TF32 Performance 90.5 | 181 TFLOPS (sparsity enabled) BFLOAT16 Performance 181.05 | 362.1 TFLOPS (sparsity enabled) FP16 Performance 181.05 | 362.1 TFLOPS (sparsity enabled) FP8 Performance 362 | 724 TFLOPS (sparsity enabled) Interface PCIe Gen4x16 Power Consumption Up to 300W Display Outputs 4 x DisplayPort 1.4a Dimensions 26.67 x 10.49 x 3.85 cm Weight Approx. 1.05 kg

FAQ How much does it cost to rent an L40 GPU? Rental prices vary by provider and model. RunPod offers rates starting at $0.69/hr for Community Cloud and $0.99/hr for Secure Cloud. Other providers like Vast.ai may have rates as low as $0.57/hr, though prices fluctuate based on availability and demand. For detailed information on GPU pricing structures, please refer to the provider's pricing page. What's the difference between Secure Cloud and Community Cloud rental options? Secure Cloud provides enhanced security features and compliance measures, ideal for enterprise users or those working with sensitive data. Community Cloud offers a more flexible, cost-effective option perfect for individual developers or startups balancing performance and budget. Is there a minimum rental period for L40 GPUs? Most providers, including RunPod, offer hourly billing without minimum rental periods. This lets you scale resources up or down as needed, paying only for time used. How does billing work for GPU rentals? RunPod implements per-second billing, charging you only for the exact time you use the GPU. This granular approach optimizes costs, especially for short-term or intermittent workloads. How do I get started with a rented L40 GPU? The process is straightforward. After creating an account and selecting your L40 instance, you'll receive access credentials. Most providers offer pre-configured environments with popular AI frameworks installed for immediate productivity. What software frameworks are compatible with the L40? The L40 supports numerous AI and machine learning frameworks, including PyTorch, TensorFlow, and NVIDIA's CUDA toolkit. Its compatibility with NVIDIA's latest software stack ensures access to cutting-edge features. Can I use the L40 for both AI training and inference? Yes. The L40's architecture excels at both training and inference workloads. Its 48GB memory capacity and advanced Tensor Cores effectively handle complex models and large datasets across various AI tasks. How does the L40 compare to the H100 or A100 for specific AI tasks? While H100 and A100 offer higher peak performance, the L40 provides an excellent balance of performance and cost-effectiveness for many AI workloads. It's particularly well-suited for tasks benefiting from its advanced graphics capabilities alongside AI computation, such as computer vision or generative AI projects. What types of AI models work best on the L40? The L40 excels with language model fine-tuning and inference, computer vision and image generation, reinforcement learning, and generative AI applications. Its architecture is particularly effective for models leveraging advanced ray tracing capabilities alongside AI computation. Is the L40 suitable for generative AI applications like Stable Diffusion? Yes, the L40 is excellent for generative AI tasks, including Stable Diffusion. Its balance of AI compute power and graphics capabilities delivers fast inference times and high-quality outputs. How many instances/users can share a single L40 GPU? This depends on specific workload and resource requirements. For lightweight tasks, multiple users can share a GPU through virtualization. For intensive AI training or real-time rendering, dedicating the entire GPU to a single user or task may be more appropriate. What are the advantages of the L40 over consumer GPUs for AI work? The L40 offers several advantages: larger memory capacity (48GB) for bigger models and datasets, ECC memory for improved reliability in long-running computations, optimized drivers and software stack for data center and AI workloads, better multi-GPU scaling for distributed training, and superior performance in mixed AI and graphics workloads. For more details, see the RTX 4090 vs L40 comparison. What are the main challenges of renting an L40 GPU? Potential challenges include managing costs for long-term or intensive usage, ensuring consistent performance in shared environments, adapting existing workflows to cloud-based GPU resources, and handling potential network latency for data-intensive tasks. How can I ensure data security when using rented GPUs? To enhance security, choose providers with strong security measures like RunPod's Secure Cloud. Implement encryption for data at rest and in transit, use secure VPN connections when accessing rented resources, and follow best practices for access control and credential management. For more information, see RunPod compliance and security. What should I consider when choosing between different L40 rental providers? Key factors include pricing and billing models, performance consistency and uptime guarantees, available software stacks and customization options, security features and compliance certifications, customer support quality, and network performance and data transfer costs. When should I rent an L40 versus buying one outright? Renting is often preferable when you need flexibility to scale resources, your workloads are intermittent or project-based, you want to avoid large upfront capital expenditures, you require access to the latest hardware without long-term commitments, or you're exploring AI capabilities before making significant investments. Buying might be more cost-effective for consistent, long-term usage or when you have specific customization or security requirements that cloud solutions can't meet.