CodingGenesis archive2026-09
Structured SaaS coding on a 64GB M1 MaxA developer uses Qwen 27B for structured feature design and background implementation on the same Mac used for a SaaS project.
Capacity range
Exact reported VRAM
Practice
Model
Quantization
Context length
Reported speed
Runtime
Tools / workflow (harness)
Record origin
EXPLORE BY CAPACITY
Start with your machine.
Capacity is the reported total for this setup. Multi-GPU and unified-memory layouts can behave differently.
8 GB or lessLaptops, iGPUs and modest cards9–12 GBEntry-level local inference13–16 GBCurrent mid-range cards17–20 GBRX 7900 XT and compact pro cards21–24 GB3090, 4090 and 7900 XTX class25–32 GB5090 and workstation cards33–48 GBWorkstation and multi-GPU setups49–96 GBLarge multi-GPU and datacenter setups97 GB+Unified memory, servers and clusters
3 resultsEvery record keeps its origin visible.
MediaGenesis archive2026-09
Generating product videos with ComfyUI workflows on an M1 MaxThirty to forty custom ComfyUI workflows generate product videos overnight on an M1 Max, using a photographed person as a virtual product model.
CodingGenesis archive2026-09
Coding a SaaS product on an M1 Max, one well-scoped feature at a timeRunning Qwen 3.8 27B on the same Mac they work on, this developer credits per-feature domain glossaries and tight scoping — not the model — for making local coding reliable.