RDMA over Thunderbolt
AssessTechniques
A networking approach that enables low-latency memory access across Macs for distributed inference.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 7Hacker News·10/16/2026researchApple Research Shows Local Large-Model Inference on Mac Studio with MLX
Apple ML Research says its open-source MLX framework can run frontier-class models locally on Mac Studio, including Muse Spark Open, using Apple silicon and unified memory. The post highlights scaling across multiple Macs with RDMA over Thunderbolt and reports over 36 tokens per second on a four-Mac Studio cluster.