distributed-computing
Latest stories covering distributed-computing, with summaries and links to related coverage.
5 articles · page 1 of 1
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Apple ML Research: Muse Spark Open with MLX on Mac Studio
research
1 min read
MLX on Macs with Apple silicon lets AI researchers and developers experiment locally with the latest models and methods in a private environment. The source identifies local experimentation as a use case for MLX on Mac hardware but provides no further details about distributed inference, RDMA, model support, performance, or availability.
Mesh LLM: distributed AI computing on iroh
tool
5 min read
Mesh LLM enables distributed AI computing on the iroh platform, allowing teams to run large language models without relying on centralized data centers. This setup provides greater control over model updates, data privacy, and operational costs.
AMD Strix Halo RDMA Cluster Setup Guide
tool
10 min read
This guide provides instructions for configuring a two-node AMD Strix Halo cluster using Intel E810 (RoCE v2) for distributed vLLM inference with Tensor Parallelism. It covers hardware prerequisites, host configuration for Fedora 43, toolbox installation, network verification, cluster operation, and troubleshooting steps.
Launch HN: IonRouter (YC W26) – High-throughput, low-cost inference
tool
1 min read
Zero-latency API auth and billing for distributed GPU inference.
Running a One Trillion-Parameter LLM Locally on AMD Ryzen AI Max+ Cluster
tool
14 min read
A small-scale distributed inference cluster can be built using AMD’s Ryzen™ AI Max+ AI PC platform to run a one trillion-parameter Large Language Model. A four-node cluster of Framework Desktop systems demonstrates the local inference of the Kimi K2.5 open-source model.