Announcing Runpod Flash

Rent NVIDIA RTX A4000 GPUs from $0.25/hr

Professional single-slot GPU based on Ampere architecture with 16GB GDDR6 memory and 6,144 CUDA cores for AI workloads, machine learning, and compact workstation builds.

RTX A4000

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 Ampere Architecture

Enhanced AI acceleration with structural sparsity support delivering up to 11X faster training performance for machine learning tasks.

Third-Generation Tensor Cores

Enhanced AI acceleration with structural sparsity support delivering up to 11X faster training performance for machine learning tasks.

16GB GDDR6 Memory

Substantial memory capacity with 448GB/s bandwidth enables AI model training and inference on medium to large datasets.

Single-Slot Design

Most powerful single-slot professional GPU with 140W power consumption, fitting into compact workstations and space-constrained systems.

Key specs at a glance.

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

Memory Bandwidth

448

GB/s

FP16 Tensor Performance

19.17

TFLOPS

PCIe Gen4 ×16 Bandwidth

63

GB/s

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.

Fine-tuning

Train custom models on
your specific datasets.

Agents

Build intelligent agent-based systems and workflows.

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
448 GB/s
Feeding large, high-resolution image and 3D datasets into GPU memory for real-time rendering and AI image-model inference.
FP16 Tensor Performance
19.17 TFLOPS
Accelerating convolution and transformer operations in image-generation and classification workloads.
PCIe Gen4 ×16 Bandwidth
63 GB/s
High-speed GPU-to-GPU and host-to-device transfers in multi-card image-model training when NVLink isn't supported.
"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
$0.17/hr
Secure Cloud
$0.25/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.