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
GroqMetal: dedicated bare-metal infrastructure tuned for speed and reliability
GroqCore: production-ready inference stack with no infrastructure expertise required
GroqAssured: enterprise-grade governance, auditability, and control
256 LPUs per rack with 40 PB/s SRAM bandwidth
1,000 tokens per second per user throughput
128 GB on-chip SRAM per rack
315 PFLOPS of FP8 inference compute
13 globally distributed data centers across four continents
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
Fast inference at scale without sacrificing affordability
LPU pioneered technology integrated with NVIDIA GPUs
Fully integrated platform combining infrastructure, inference, and control
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