Salesforce dev eyes M3 Max for local AI
A Salesforce developer hitting VRAM limits on an AMD 7900 XT is weighing a switch to a 128GB M3 Max MacBook Pro to run 70B-class models locally. The goal is to balance a fast, private coding agent with high-capacity inference for sensitive consulting workflows, bypassing the power and configuration overhead of multi-GPU server builds.
Apple's unified memory architecture remains a cost-effective path for running 70B models locally without a server room. 128GB of memory provides headroom for Llama-3-70B and massive context windows, bypassing the 20GB VRAM bottlenecks of single-card setups. While AMD's ROCm performance is high for smaller models, macOS avoids the driver and VM headaches of Linux-based GPU rigs. The M3 Max offers a portable alternative for secure local inference on the road.
DISCOVERED
7d ago
2026-04-05
PUBLISHED
7d ago
2026-04-04
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