Runpod

Overview Runpod is a GPU cloud platform built specifically for AI workloads — the closest thing to "AWS for AI" that a solo developer can actually afford. Instead of paying $30,000 for a physical H100, you rent one by the minute at $2 5/hr and spin it down when you're done. The result: real access to frontier hardware without the capital commitment. The one line positioning: Runpod is the cheapest, fastest way to get a GPU running for AI work — whether you're fine tuning Llama, running ComfyUI for image generation, or serving a model as an API endpoint. Two Product Lines Pods — dedicated GPU containers billed by the second. You SSH in, install what you need, and pay for compute time. Best for training runs, batch inference, or interactive experimentation. Serverless — deploy a model behind an HTTPS endpoint. Runpod handles autoscaling, cold starts, and billing per request. Best for production inference at unpredictable load. GPU Availability Runpod stocks the whole modern lineup: H100, A100, L40S, A6000, RTX 4090, RTX 3090. Pricing ranges from $0.20/hr for a 4090 to $5/hr for an H100 SXM. Community Cloud (customer hosted) is cheaper; Secure Cloud (Runpod owned) is slightly more but has better uptime SLAs. Why It Matters For a solo builder or small team, the alternative to Runpod is either (a) paying OpenAI/Anthropic API prices for every token, (b) buying $30k of hardware upfront, or (c) getting throttled on Google Colab. Runpod fills the exact gap in between: real GPU…