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Ollama

Local AI Infrastructure

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Run local and cloud LLMs, now including Codex App and CLI workflows

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LLM APIs & Inference

Serverless platform for running AI and ML workloads

FeatureOllamaModal
CategoryLocal AI InfrastructureLLM APIs & Inference
PricingFree (open-source)Pay-per-use + $30 free/mo
GitHub Stars
More stars
120k
PlatformsmacOS, Linux, WindowsWeb
Key Features
  • One-command setup
  • API server
  • GPU acceleration
  • Model library
  • Modelfile
  • OpenAI-compatible API
  • Codex App support
  • Codex CLI launch/profile support
  • Serverless GPU
  • Container orchestration
  • Cron jobs
  • Web endpoints
  • Fine-tuning
Pros
  • + Dead simple to use with one command
  • + Runs local models offline when hardware fits
  • + OpenAI-compatible API
  • + Huge model library
  • + Official Codex App and Codex CLI integration paths
  • + Serverless GPU with simple Python API
  • + $30/mo free credits
  • + Web endpoints and cron jobs
  • + Fast cold starts
  • + Great developer experience
Cons
  • Requires enough local hardware for larger models
  • Local coding-agent quality depends heavily on the selected model
  • Cloud models may require Ollama Cloud subscription or usage costs
  • No built-in general chat UI without a companion app
  • Python-only
  • Vendor lock-in risk
  • Debugging can be tricky
  • Pricing opaque for large workloads
Tags
open-sourcelocalllminferenceprivacygpucodexcoding-agents
serverlessgpucloudinfrastructure

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