Runpod

Runpod brings GPU compute from data center economics to cloud flexibility. You choose your hardware (H100, A100, L40S, RTX 4090) across 31 global regions, spin up instances in seconds, and pay for what you use—no minimum commitment, no idle charges if you're using Serverless.

Highlights

• Pods: reserved or spot GPU instances for development, training, and batch jobs
• Serverless: zero-cost idle scaling with sub-200ms cold starts via FlashBoot
• Clusters: coordinate 200+ concurrent GPUs for large-scale training and inference
• 30+ GPU models from consumer cards to enterprise accelerators
• Persistent storage and managed networking for complete ML pipelines

Ideal for researchers prototyping experiments, startups scaling without CapEx, and teams running dynamic AI workloads. Beginners get a free tier to experiment; production users pay hourly (Pods) or per-millisecond (Serverless). The platform abstracts away data center management—focus on your model, not your servers.