Themata.AI
Themata.AI

Popular tags:

#developer-tools#ai-agents#llms#claude#ai-ethics#code-generation#ai-safety#openai#anthropic#discussion

AI is changing the world. Don't stay behind. Clear summaries, community insight, delivered without the noise. Subscribe to never miss a beat.

© 2026 Themata.AI • All Rights Reserved

Privacy

|

Cookies

|

Contact
🕒 Latest🔥 Top
WeekMonthYearAll Time

Filtering by tag:

distributed-computingClear
amd-strix-halo-vllm-toolboxes/rdma_cluster/setup_guide.md at main · kyuz0/amd-strix-halo-vllm-toolboxes
distributed-computingvllmamd-strix-halotensor-parallelism
Tool

AMD Strix Halo RDMA Cluster Setup Guide

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.

github.com

🔥🔥🔥🔥🔥

10 min

4h ago

Launch HN: IonRouter (YC W26) – High-throughput, low-cost inference

Zero-latency API auth and billing for distributed GPU inference.

ionrouter.io

🔥🔥🔥🔥🔥

1 min

3/12/2026

Running a One Trillion-Parameter LLM Locally on AMD Ryzen AI Max+ Cluster

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.

amd.com

🔥🔥🔥🔥🔥

14 min

3/1/2026

AMD Strix Halo RDMA Cluster Setup Guide

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.

github.com

🔥🔥🔥🔥🔥

10 min

4h ago

Running a One Trillion-Parameter LLM Locally on AMD Ryzen AI Max+ Cluster

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.

amd.com

🔥🔥🔥🔥🔥

14 min

3/1/2026

Launch HN: IonRouter (YC W26) – High-throughput, low-cost inference

Zero-latency API auth and billing for distributed GPU inference.

ionrouter.io

🔥🔥🔥🔥🔥

1 min

3/12/2026

AMD Strix Halo RDMA Cluster Setup Guide

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.

github.com

🔥🔥🔥🔥🔥

10 min

4h ago

Launch HN: IonRouter (YC W26) – High-throughput, low-cost inference

Zero-latency API auth and billing for distributed GPU inference.

ionrouter.io

🔥🔥🔥🔥🔥

1 min

3/12/2026

Running a One Trillion-Parameter LLM Locally on AMD Ryzen AI Max+ Cluster

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.

amd.com

🔥🔥🔥🔥🔥

14 min

3/1/2026

No more articles to load