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Every build in the database (73 total), grouped by category. Each links to a page showing which open-weights LLMs run on it and how fast — same picks you'd see in the live picker.

Sizing a build around one model? See Qwen 3.6 27B VRAM & GPU requirements — per-quant VRAM, which GPUs can run it, and measured tokens per second on the RTX 5090, RTX 3090, AMD R9700, Intel Arc Pro B70 and used MI50, then the cheapest build that fits. Cross-shopping unified-memory boxes? RTX Spark vs DGX Spark vs RTX 5090 covers capacity vs speed. Picking a llama.cpp backend for one of these cards? CUDA vs Vulkan for llama.cpp breaks it down by vendor. On Apple Silicon? Apple M5 Max for local LLMs covers what the 128GB MacBook Pro actually runs and whether to wait for the M5 Ultra Mac Studio.

Apple Silicon (15)

NVIDIA — consumer GPUs (11)

NVIDIA — pro workstation (20)

Datacenter (H100/H200/B200) (9)

AMD Instinct + Radeon (11)

Intel Arc Pro (5)

Strix Halo / DGX Spark (2)

Last updated 2026-07-11