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
Latest generation professional architecture delivering 1.5X the FP32 performance of previous generation in power-efficient design.
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.
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.
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.
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.
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.
"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
AI Apps
"Runpod is the only place I can deploy high-end GPU models instantly—no sales calls, no rate limits, no nonsense."
Daniel Chang
Research
“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
LLM Inference
“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
Model Training
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
$
/hr
N/A
Secure Cloud
$
0.24
/hr
Unique GPU Models
25
19
Unique GPU Models
Secure Cloud
19
Community Cloud
25
Global Regions
17
14
Global Regions
Secure Cloud
14
Community Cloud
17
Network Storage
Network Storage
Secure Cloud
✔️
Community Cloud
✖️
Enterprise-Grade Reliability
Enterprise-Grade Reliability
Secure Cloud
✔️
Community Cloud
✖️
Savings Plans
Savings Plans
Secure Cloud
✔️
Community Cloud
✖️
24/7 Support
24/7 Support
Secure Cloud
✔️
Community Cloud
✔️
Delightful Dev Experience
Delightful Dev Experience
Secure Cloud
✔️
Community Cloud
✔️
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