Developer-focused GPU cloud offering on-demand pods, serverless inference and multi-node clusters at per-second pricing for AI workloads.
What it does
Runpod is a GPU cloud built for AI developers to experiment, train, fine-tune and deploy models. It offers dedicated GPU pods across 31 global regions, autoscaling serverless endpoints for inference, and multi-node clusters for distributed workloads, all billed by usage.
Core features
On-demand GPU pods across 30+ GPU types and 31 regions
Serverless GPU endpoints with sub-200ms cold starts
Zero idle cost billing for inference workloads
Multi-node clusters for distributed training
Persistent network storage for full pipelines
Real-time logs, monitoring and autoscaling from 0 to hundreds of workers
Best for
→Renting GPUs for model training and fine-tuning
→Deploying low-latency real-time inference APIs
→Running AI agents that need to scale instantly
→Processing compute-heavy batch or distributed workloads
Pricing
Pods A40 48GB
$0.44/hr
Pods RTX 4090 24GB
$0.69/hr
Pods A100 SXM 80GB
$1.49/hr
Pods H100 SXM 80GB
$2.99/hr
Pods H200 141GB
$4.39/hr
Pods B300 288GB
$7.39/hr
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Reviews
Big-picture takes: what it's for and whether it delivers. High-engagement YouTube videos — not sponsored.
Tutorials
Step-by-step: exactly how to get things done with it.