RTX A6000
Enterprise-class power for massive 3D and AI workloads.
RTX 6000 Ada
Ada Lovelace meets workstation supremacy — peak visual + AI performance.
RTX A5000
Pro-level performance for real-time rendering and model development.
RTX A4000
Quiet, efficient, and built for professional creators.
RTX 4090
The king of GPUs — pure brute force for AI.
RTX 3090
Deep learning and 8K dreams — no compromise.
RTX 2000 Ada
Compact. Capable. Ada architecture for creative pros.
L4
Lean, mean, AI inference machine.
L40S
Unleash real-time AI at enterprise scale.
L40
Balanced performance for rendering and inference.
H100 SXM
Unparalleled performance, efficiency, and scalability, starting from $2.69/hr.
A100 PCIe
Cloud-ready powerhouse for deep learning and simulation.
H100 NVL
Massive memory for colossal LLMs and transformer workloads.
H100 PCIe
Drops Hopper‑class acceleration into any PCIe box, giving you near‑SXM training punch and dense‑GPU inference throughput without paying the SXM chassis premium.
A40
The pragmatic middle‑tier choice for sizable training runs, high‑memory inference, and graphics/visualization workloads when you need big VRAM without paying H100 rates.
A100 SXM
The go‑to workhorse for giant LLM training, distributed fine‑tuning, and high‑throughput inference when H100 pricing or supply gets in the way.
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LLM benchmarks.
Benchmarks were run on RunPod GPUs using vLLM. Learn more here.
RTX 3090
Deep learning and 8K dreams — no compromise.
RTX 4090
The king of GPUs — pure brute force for AI.
H100 PCIe
High-efficiency LLM processing at 90.98 tok/s.
Image model benchmarks.
Benchmarks were run on RunPod GPUs using vLLM. Learn more here.
H100 SXM
Unmatched image gen speed with 49.9 images per minute.
H100 NVL
AI image processing at 40.3 images per minute.
H100 PCIe
Pro-grade performance with 36 images per minute.
Case Studies
Real-world GPU performance in action.
See how teams optimize cost and performance with the right GPU for their workloads.
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"RunPod has changed the way we ship because we no longer have to wonder if we have access to GPUs. We've saved probably 90% on our infrastructure bill, mainly because we can use bursty compute whenever we need it."
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Read case study
"By leveraging Runpod, we could reliably scale from zero to over 1000 requests per second according to our live product usage.”
Read case study
https://media.getrunpod.io/scatter-lab-case-study.mp4
"RunPod has allowed us to focus entirely on growth and product development without us having to worry about the GPU infrastructure at all."
Read case study
https://media.getrunpod.io/insta-headshots-case-study-3.mp4
"After migration, we were able to cut down our server costs from thousands of dollars per day to only hundreds."
Read case study
"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."
Read case study
"RunPod has allowed the team to focus more on the features that are core to our product and that are within our skill set, rather than spending time focusing on infrastructure, which can sometimes be a bit of a distraction.”
Read case study
https://media.getrunpod.io/gendo-case-study.mp4
