Run AI models on your own hardware with automatic optimization and a single endpoint
Cloud infrastructure for your code and agents
Stage
Not given
Startup
Founded
Not given
2024
Based in
Not given
US
Pricing model
Open source
Freemium
Pricing
Not given
Starter: Free with $100 in credits; Team: $200/mo (annual) or $250/mo (monthly) with $100/mo credits. Usage-based rates: Code Reviews $1.00 per review, x64 Runners $0.002 per vCPU/minute, macOS Runners $0.020 per vCPU/minute, Sandbox vCPU $0.000014 per second, Sandbox Memory $0.0000045 per GiB/secon
Key features
Automatic model loading from Hugging Face and other sources
Hardware-aware model optimization for VRAM and context length
OpenAI-compatible endpoint
Support for multiple inference engines
Single unified endpoint for all models and machines
Distributed compute across multiple machines
Built-in app catalog with chat UIs and RAG tools
Integration with cloud providers
Instant sandboxes that boot in under one second
GitHub Actions runners for x64 and macOS
AI-powered code review on every pull request
Support for Go, TypeScript, and Python SDKs
Git operations including clone, checkout, and diff
Persistent volumes and snapshots
Outbound domain and CIDR allowlists
Pre-built container images
OpenCode integration for AI workflows
Configurable CPU and memory options
What makes it different
No manual engine configuration needed
Automatic workload-based tuning
One endpoint covers local and cloud models
Built on trusted community engines
Bare-metal infrastructure for 30% faster performance and up to 60% cheaper than alternatives
Sandboxes boot in under one second, enabling instant isolation for AI agents
AI code review that reads your full codebase and reviews every PR
Drop-in GitHub Actions replacement requiring no configuration changes
Infrastructure built specifically for AI agents to write, run, and ship code
dotcore
Tenki