Announcing Runpod Flash

Cloud GPUs

Rent NVIDIA RTX 2000 Ada GPUs from $0.24/hr

Compact professional GPU based on Ada Lovelace architecture with 16GB GDDR6 memory and 2,816 CUDA cores for AI workloads, machine learning, and professional applications in small form factor systems.

RTX 2000 Ada

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 88 Tensor Cores delivering significant performance improvements for machine learning tasks.

Fourth-Generation Tensor Cores

Enhanced AI acceleration with 88 Tensor Cores delivering significant performance improvements for machine learning tasks.

16GB GDDR6 Memory

Large memory capacity with ECC support provides reliable workspace for AI models and professional datasets.

Dual-Slot Low Profile Design

Compact form factor with efficient cooling enables deployment in small form factor workstations.

Performance

Key specs at a glance.

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

Memory Bandwidth

256

GB/s

FP16 Tensor Performance

12.00

TFLOPS

PCIe Gen4 ×8 Bandwidth

32

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
256 GB/s
Sustaining high-throughput feeding of large, high-resolution image batches to VRAM for compact workstation image-model inference and visualization.
FP16 Tensor Performance
12.00 TFLOPS
Speeding mixed-precision inference and training of CNNs and vision transformers in space-constrained setups.
PCIe Gen4 ×8 Bandwidth
32 GB/s
Fast host-to-GPU and GPU-to-GPU transfers in multi-card image-model training when NVLink isn't supported.
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
$0.5/hr
Secure Cloud
$0.24/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.