Quiz · 4 questions
🚀 Production — Wrapping, Profiling, and the Future
From experiment to service, plus what's coming next
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Quiz
01When wrapping mlx-lm in a FastAPI service, what's the right concurrency model?
Hint
The GPU is the bottleneck; workers don't parallelize there.
02On a 64 GB MacBook used for daily work (browser, editor, etc.), should you raise
iogpu.wired_limit_mb?Hint
The OS needs memory too.
03What's the recommended workflow for shipping an MLX model inside an iOS / macOS app?
Hint
Iterate where iteration is fast; ship where shipping is appropriate.
04What three threads does lesson 6 identify as the future of MLX worth tracking?
Hint
Distributed, hardware-accelerated, cross-platform.
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