Announcing Runpod Flash

Rent NVIDIA RTX 5090 GPUs from $0.99/hr

Consumer GPU based on Blackwell architecture with 32GB GDDR7 memory and 21,760 CUDA cores for AI workloads, machine learning, and image generation tasks.

RTX 5090

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 Blackwell Architecture

Enhanced AI acceleration providing significant performance gains for machine learning training and inference workloads.

Fourth-Generation Tensor Cores

Enhanced AI acceleration providing significant performance gains for machine learning training and inference workloads.

32GB GDDR7 Memory

Massive memory capacity with 1,792GB/s bandwidth enables training and inference on large AI models and complex datasets.

Fourth-Generation RT Cores

Advanced ray tracing acceleration ideal for AI rendering applications and computer vision tasks requiring ray tracing.

Key specs at a glance.

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

Memory Bandwidth

1.79

TB/s

FP16 Tensor Performance

0.42

PFLOPS

PCIe Gen5 ×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
1.79 TB/s
Sustaining high-throughput image model training and inference by feeding large, high-resolution image batches without stalls.
FP16 Tensor Performance
0.42 PFLOPS
Accelerating convolutional and transformer ops in image generation, classification, and super-resolution workloads.
PCIe Gen5 ×16 Bandwidth
63 GB/s
High-speed GPU-to-GPU and host-to-device transfers when NVLink isn't available, ensuring smooth data flow in multi-GPU image model training and inference.
"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
$0.69/hr
Secure Cloud
$0.99/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.