Announcing Runpod Flash

Cloud GPUs

Rent NVIDIA L4 GPUs from $0.39/hr

Energy-efficient data center GPU based on Ada Lovelace architecture with 24GB GDDR6 memory and 7,424 CUDA cores for AI inference, video processing, and edge computing applications.

L4

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

Enhanced AI acceleration with FP8 precision support delivering up to 2.5X higher performance for generative AI inference.

Fourth-Generation Tensor Cores

Enhanced AI acceleration with FP8 precision support delivering up to 2.5X higher performance for generative AI inference.

24GB GDDR6 Memory

Large memory capacity enables handling of larger AI models and complex video processing tasks.

Low-Profile Form Factor

Compact 72W design fits in standard servers from edge to data center in space-constrained environments.

Performance

Key specs at a glance.

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

Memory Bandwidth

300

GB/s

FP16 Tensor Performance

242

TFLOPS

PCIe Gen4 ×16 Bandwidth

64

GB/s

Use Cases

Popular use cases.

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

Inference

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

Inference

Fine-tuning

Train custom models on
your specific datasets.

Fine-tuning

Agents

Build intelligent agent-based systems and workflows.

Agents

Compute-heavy tasks

Run compute-heavy workloads like rendering and simulations.

Compute-heavy tasks

Technical Specs

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
300 GB/s
Feeding large batches of data into GPU memory without stalls—ideal for inference-heavy AI workloads and real-time graphics.
FP16 Tensor Performance
242 TFLOPS
Boosting mixed-precision AI inference and graphics computations, accelerating model throughput on edge and data-center servers.
PCIe Gen4 ×16 Bandwidth
64 GB/s
Enabling high-speed GPU-to-host and GPU-to-GPU transfers when NVLink isn't available, ensuring smooth scaling in multi-card setups.
AI Apps
Research
LLM Inference
Model Training
"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

Comparison

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
$0.44/hr
Secure Cloud
$0.39/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.

The most cost-effective platform for building, training, and scaling machine learning models—ready when you are.