Runpod

Runpod is a developer-first GPU cloud that combines three deployment models in one platform: Pods (on-demand single GPU instances across 31 global regions), Serverless (instant AI inference endpoints with auto-scaling and zero idle cost), and Clusters (multi-node GPU clusters spun up in minutes for distributed training). On the Pods side, Runpod publishes transparent per-hour pricing on Secure Cloud and Community Cloud tiers. Current rates include H100 PCIe at $2.89/hr, H100 SXM at $3.29/hr, H200 (141GB VRAM, 276GB RAM, 24 vCPUs) at $4.39/hr, B200 (180GB VRAM) at $5.89/hr, RTX Pro 6000 (96GB VRAM) at $2.09/hr, and H100 NVL at $3.19/hr. Community Cloud rates are typically lower than Secure Cloud for the same hardware. The Runpod Hub provides one-click deploys of popular open-source AI templates — Llama, Stable Diffusion, ComfyUI, vLLM, and so on — making it easy to get from 'idea' to 'running endpoint' in minutes. The 2026 product release 'Runpod Flash' (highlighted at the top of the site) emphasizes near-instant cold starts on serverless. For independent developers and small teams who want raw GPU access without the operational overhead of a hyperscaler, Runpod is one of the most popular options, sitting between consumer-friendly platforms and enterprise GPU clouds in both price and flexibility.