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Business automation · 2026-09-11

PR review and support triage on two budget RTX 3060s

Two 12GB 3060s handle both code review and customer-support lookups, reasoning read-only over live account data and internal docs.

Running two RTX 3060s for a combined 24GB of VRAM, this team uses a local model for pull-request review as well as internal support triage: when a support ticket comes in about a client's account, the model can fetch and reason over that account's data read-only, plus search a vector database of guides and other reference PDFs, to give the support team a starting point. They're currently on Qwen 3.6 35B-A3B and are considering moving up to Qwen 3.8 27B once they add two 3090s.

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Reported anonymously by an r/LocalLLM contributor · 2 upvotes at capture

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SETUP HISTORY

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CURRENT2026-09-11PR review and support triage on two budget RTX 3060s

Two 12GB 3060s handle both code review and customer-support lookups, reasoning read-only over live account data and internal docs.

Business automation1 machineQwen 3.6 35B-A3BRuntime unspecified

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