<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Distributed Systems on Onur Baydaş</title><link>https://onurbaydas.com/en/tags/distributed-systems/</link><description>Recent content in Distributed Systems on Onur Baydaş</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 22 Oct 2026 10:32:06 +0300</lastBuildDate><atom:link href="https://onurbaydas.com/en/tags/distributed-systems/index.xml" rel="self" type="application/rss+xml"/><item><title>Using Thousands of AI Agents for New Discoveries in Biological Data</title><link>https://onurbaydas.com/en/news/2026-10-22-ai-agents-biological-data/</link><pubDate>Thu, 22 Oct 2026 10:32:06 +0300</pubDate><guid>https://onurbaydas.com/en/news/2026-10-22-ai-agents-biological-data/</guid><description>OpenAI, PerturbAI, and Scripps Research utilized distributed AI agents to uncover promising research leads in data from millions of brain cells. This approach demonstrates the potential for new discoveries in complex biological datasets.</description></item><item><title>Beyond prototype: Scaling framework-agnostic AI agent infrastructure with Ray</title><link>https://onurbaydas.com/en/news/2026-10-21-scaling-ai-agents-ray-kubernetes/</link><pubDate>Wed, 21 Oct 2026 10:35:55 +0300</pubDate><guid>https://onurbaydas.com/en/news/2026-10-21-scaling-ai-agents-ray-kubernetes/</guid><description>The speakers discuss transitioning AI agents from local FastAPI prototypes to resilient production systems on Kubernetes using Ray. This transition aims to increase the scalability and operational robustness of AI agents.</description></item></channel></rss>