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AMD Strix Halo RDMA Cluster Setup Guide

Hacker News Top · 2026-06-28 Cached

A setup guide for using a custom Docker/Podman toolbox with ROCm/RCCL RDMA support to cluster two AMD Strix Halo nodes, enabling vLLM with tensor parallelism across 256GB unified memory.

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#rdma

USB4 RDMA seems doable

Reddit r/LocalLLaMA · 2026-06-25

Experimental implementation of RDMA over USB4 demonstrated using Thunderbolt and Strix Halo, potentially enabling high-speed data transfer with any USB4 host.

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DualPath: Breaking the Storage Bandwidth Bottleneck in Agentic LLM Inference

Reddit r/singularity · 2026-06-24 Cached

DualPath is a system that breaks the storage bandwidth bottleneck in agentic LLM inference by introducing a dual-path KV-cache loading mechanism, improving throughput by up to 1.87x offline and 1.96x online.

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Task Failed Successfully: Saturating NIC and Disk Bandwidth

Hacker News Top · 2026-06-23 Cached

The author shares a technical deep dive into saturating NIC and disk bandwidth using RDMA and io_uring, highlighting how an AI agent achieved the optimization with a flawed explanation, then details the actual debugging process.

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Collected the infinity stones

Reddit r/LocalLLaMA · 2026-05-07

A user proposes building a heterogeneous AI cluster using Blackwell GPUs and high-memory servers connected via RDMA, seeking collaboration on Tinygrad driver development.

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NVIDIA Spectrum-X — the Open, AI-Native Ethernet Fabric — Sets the Standard for Gigascale AI, Now With MRC

NVIDIA Blog · 2026-05-06 Cached

NVIDIA's Spectrum-X Ethernet fabric with Multipath Reliable Connection (MRC) sets a new standard for gigascale AI networking, improving throughput, load balancing, and resilience for large-scale AI training, as demonstrated by OpenAI, Microsoft, and Oracle.

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@zcbenz: MLX's implementation of RDMA (Remote Direct Memory Access) over Thunderbolt on macOS, can now be used as an independent…

X AI KOLs Following · 2026-04-22

MLX's RDMA-over-Thunderbolt implementation for macOS is now available as a standalone library, enabling high-speed Mac clusters for local AI workloads.

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@alexocheema: Running Qwen3.6 35B (vision) on 2 x M5 Max MacBook Pro with RDMA over Thunderbolt 5. It describes the image and identif…

X AI KOLs Timeline · 2026-04-21 Cached

A demo shows Qwen3.6 35B vision model running across two M5 Max MacBook Pros connected via RDMA over Thunderbolt 5, achieving near-instant responses with prefix caching. The model correctly identifies Apple Park but misidentifies a person in the image.

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