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

Cloud GPUs

Rent NVIDIA RTX 6000 Ada GPUs from $0.77/hr

Professional workstation GPU based on Ada Lovelace architecture with 48GB GDDR6 memory and 18,176 CUDA cores for advanced AI workloads.

RTX 6000 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

Next-generation workstation architecture delivering up to 2X the FP32 performance and enhanced efficiency for professional workflows.

Fourth-Generation Tensor Cores

Enhanced AI acceleration with FP8 precision support delivering 2X faster performance for machine learning and data science tasks.

48GB GDDR6 with ECC

Massive error-corrected memory with 960GB/s bandwidth enables working with the largest datasets and most complex models.

Third-Generation RT Cores

Advanced ray tracing with 2X faster ray-triangle intersection throughput for photorealistic rendering and real-time visualization.

Performance

Key specs at a glance.

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

Memory Bandwidth

960

GB/s

FP16 Tensor Performance

91.06

TFLOPS

PCIe Gen4 ×16 Bandwidth

63

GB/s

Use Cases

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.

Inference
Fine-tuning workload illustration

Fine-tuning

Train custom models on
your specific datasets.

Fine-tuning
AI agents workload illustration

Agents

Build intelligent agent-based systems and workflows.

Agents
Compute-heavy workload illustration

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
960 GB/s
Feeding large, high-resolution image and 3D datasets to GPU memory without stalls in rendering, visualization, and AI inference workflows.
FP16 Tensor Performance
91.06 TFLOPS
Accelerating mixed-precision AI training and inference for image generation, classification, and simulation tasks.
PCIe Gen4 ×16 Bandwidth
63 GB/s
Enabling high-speed GPU-to-GPU and host-to-device transfers when NVLink isn't available, ensuring smooth multi-GPU scaling for large image workloads.
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
$0.74/hr
Secure Cloud
$0.77/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.