Cua ships a Metal shim that accelerates LLMs inside macOS VMs
The process-scoped layer unlocked llama.cpp GPU paths and delivered up to 16.36x faster generation in Cua's M1 Ultra tests.
By Ryan Merket · Published
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Why it matters
Cua's release turns an apparent VM hardware limit into a software capability-selection problem, making isolated macOS inference practical for more agent workloads if the results hold across chips and runtimes.
The process-scoped layer unlocked llama.cpp GPU paths and delivered up to 16.36x faster generation in Cua's M1 Ultra tests.
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