Making Zed fast: A conversation with Richard Feldman
Sep 23, 2025

Summary
This post details Baseten's partnership with Zed Industries to provide low-latency edit predictions for their code editor. The core technical challenge addressed is minimizing the network round trip time for AI model inference, especially for geographically distributed users. Baseten's infrastructure, with its high-powered GPUs, is leveraged to achieve this low latency, enabling Zed to integrate useful AI predictions without compromising the editor's overall speed. This highlights Baseten's capability in optimizing inference for latency-sensitive applications.
More from the Baseten AI Model Deployment and Serving Platform trail
- LangChain trains custom models for LangSmith Engine with Baseten Loops
- DeepSeek-V4.1-Flash: more efficient prefill for coding agents
- Blaxel is joining Baseten to build the future of agentic infrastructure
- How Baseten makes pyannote’s diarization models 9.6x faster
- Optimizing delta weight syncs for managed rollouts