A garage server with two Radeon Pro AI R9700 cards supports coding, homelab maintenance and an evolving Cline/Open WebUI workflow.
Start with your machine.
Capacity is the reported total for this setup. Multi-GPU and unified-memory layouts can behave differently.
A single Radeon Pro AI R9700 runs coding work using Lucebox and a recommended 4-bit quant, relying on custom optimized kernels for the card.
After experimenting, this user argues a real computer-manipulating agent needs at least a Strix Halo plus an oculink R9700, or a DGX Spark plus a second GPU for auxiliary models.
A custom harness layers a written skill and an orchestrator agent that dispatches tasks to five subagents, each starting from a clean context with hard test gates.
This company believes uploading user data to a cloud model would be illegal for their use case, so email and user-text automation runs on a Gemma 4 build on a single Radeon Pro AI R9700.
An unusual layered setup: the local model isn't the coding agent — it's the thing an outer coding agent uses to build and stress-test a separate 'inner' agent.
The same Qwen 3.8 27B instance that drives this person's Hermes agent also sits as an MCP tool for Codex, reviewing its proposals and its final output — and the task simply stops if the two can't agree.