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A user shares how upgrading from an M2 Pro MacBook to a 128GB Mac Studio lets them run around a dozen Claude coding sessions concurrently, noting the machine is a worthwhile buy for heavy AI workloads and that they won't return to a MacBook Pro for heavy lifting.
Apple has introduced the new Mac Studio with M5 Max and M5 Ultra chips, offering up to 4.3x faster AI performance and 512GB of unified memory for on-device AI and pro workflows.
A tweet notes that a fully loaded MacBook M5 Max (128GB RAM, 4TB storage) can be lease-to-owned for $185/month, with a fair end-of-lease purchase option.
I built an alternative to f.lux because the M5 Max firmware broke existing screen temperature solutions.
Benchmark results for StepFun 3.7 Flash model running on M5 Max via llama.cpp, showing prompt processing and token generation speeds across various context lengths.
A demo of running ds4-agent locally on an M5 Max with DeepSeek V4 Flash q2-imatrix gguf model, showing self-updating capabilities and integration with HF_HOME for gguf models.
A comparison of DGX Spark vs Mac Studio M5 Max for running local LLMs, highlighting decode speed, prefill performance, RAM, power consumption, and cost. The Mac wins on decode bandwidth but DGX is faster for prefill and supports batching.
A performance test demonstrates the impact of Low, Automatic, and High power modes on LLM inference speed on an M5 Max MacBook, showing significant differences in token generation rates and power consumption.