LLM InfrastructureCommercial

RunPod

Serverless GPU cloud for AI inference and training

1,200 stars● Health 65SlowingApp Infrastructure

About

On-demand serverless GPU cloud (A100, H100, RTX series) with autoscaling and per-second billing. The go-to choice for indie AI developers and teams that need GPU compute without committing to AWS or GCP reserved instances.

Choose RunPod when…

  • You need GPU compute on demand without long-term cloud commitments
  • You're self-hosting open-source models and need A100/H100 access
  • You want per-second billing and autoscaling for bursty AI workloads

Builder Slot

Where do your models actually run?Required for most stacks

LLM providers and inference servers — where the actual model computation happens

Dev Tools
Not applicable
App Infra
Required
Hybrid
Required

Other tools in this slot:

Stack Genome Detection

AIchitect's Genome scanner detects RunPod in your project via these signals:

pip packages
runpod
env vars
RUNPOD_API_KEY

Integrates with (2)

vLLMLLM Infrastructure
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llama.cppLLM Infrastructure
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Often paired with (1)

Alternatives to consider (3)

Pricing

ServerlessFrom $0.00014/sec
PodsFrom $0.19/hr

Badge

Add to your GitHub README

RunPod on AIchitect[![RunPod](https://aichitect.dev/badge/tool/runpod)](https://aichitect.dev/tool/runpod)

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