Why 4x DGX Sparks beat a single 512GB M5 Ultra Mac for local AI workloads
JFPuget · x · 2026-10-29
Blogger MiaAIlab argues 4x DGX Sparks beat a 512GB M5 Ultra Mac for local AI work. The key is flexibility: Sparks can be split 2+2 for two models, combined 4-in-1, or allocated 1+3, while a single Mac offers no such option. Running diffusion models alongside an LLM is also awkward on one Mac. Add CUDA's mature ecosystem, and the author thinks it will take years for Macs to catch up to this multi-box setup.
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