Hot starts, batch inference, and what's next for Runpod Serverless. Webinar June 25.

Rent NVIDIA L40S GPUs from $0.86/hr

Universal data center GPU based on Ada Lovelace architecture with 48GB GDDR6 memory and 18,176 CUDA cores for AI inference, generative AI, and professional visualization workloads.

L40S

Powering the next generation of AI & high-performance computing.

Engineered for large-scale AI training, deep learning, and high-performance workloads, delivering unprecedented compute power and efficiency.

NVIDIA Ada Lovelace Architecture

Versatile architecture combining AI compute with advanced graphics acceleration for breakthrough multi-workload performance.

Fourth-Generation Tensor Cores

Enhanced AI acceleration with FP8 precision support delivering up to 5X higher inference performance.

48GB GDDR6 Memory

Large memory capacity enables handling of multimodal generative AI models and complex 3D rendering tasks.

Third-Generation RT Cores

Advanced ray tracing acceleration with 2X faster real-time performance for professional visualization workflows.

Key specs at a glance.

Performance benchmarks that push AI, ML, and HPC workloads further.

Memory Bandwidth

864

GB/s

FP16 Tensor Performance

362

TFLOPS

PCIe Gen4 ×16 Bandwidth

63

GB/s

Popular use cases.

Designed for demanding workloads
—learn if this GPU fits your needs.

Inference workload illustration

Inference

Serve inference for image, text, and audio generation at any scale.

Fine-tuning workload illustration

Fine-tuning

Train custom models on
your specific datasets.

AI agents workload illustration

Agents

Build intelligent agent-based systems and workflows.

Compute-heavy workload illustration

Compute-heavy tasks

Run compute-heavy workloads like rendering and simulations.

Ready for your most
demanding workloads.

Essential technical specifications to help you choose the right GPU for your workload.

Specification
Details
Great for...
Memory Bandwidth
864 GB/s
Feeding massive multimodal and image batches into VRAM without stalls for LLM inference and real-time rendering.
FP16 Tensor Performance
362 TFLOPS
Accelerating mixed-precision transformer and convolution operations in generative AI and image-model workloads.
PCIe Gen4 ×16 Bandwidth
63 GB/s
High-speed GPU-to-host and GPU-to-GPU transfers in multi-card setups when NVLink isn't available.
"The Runpod team has clearly prioritized the developer experience to create an elegant solution that enables individuals to rapidly develop custom AI apps or integrations while also paving the way for organizations to truly deliver on the promise of AI."

Amjad Masad

"Runpod is the only place I can deploy high-end GPU models instantly—no sales calls, no rate limits, no nonsense."

Daniel Chang

“The main value proposition for us was the flexibility Runpod offered. We were able to scale up effortlessly to meet the demand at launch.”

Josh Payne

“Runpod helped us scale the part of our platform that drives creation. That’s what fuels the rest—image generation, sharing, remixing. It starts with training.”

Matty Shimura

Powerful GPUs. Globally available.
Reliability you can trust.

30+ GPUs, 31 regions, instant scale. Fine-tune or go full Skynet—we’ve got you.

Community Cloud
$0.79/hr
Secure Cloud
$0.86/hr
Unique GPU Models
Community Cloud
25
Secure Cloud
19
Global Regions
Community Cloud
17
Secure Cloud
14
Network Storage
Community Cloud
Secure Cloud
Enterprise-Grade Reliability
Community Cloud
Secure Cloud
Savings Plans
Community Cloud
Secure Cloud
24/7 Support
Community Cloud
Secure Cloud
Delightful Dev Experience
Community Cloud
Secure Cloud

10,100,100,100

Requests since launch & 400k developers worldwide

Build what’s next.

Build, train, and scale AI workloads on Runpod with cloud GPUs, Serverless, and Clusters.