Announcing MCP Toolbox Java SDK v1.0: Agentic data access for the enterprise
cloud.google.com·6d ago
Cloud & Infrastructure
The New Stack·Sep 8·5 min read
DeepSeek is hiring 150 engineers, and none of them will touch a model
TL;DR
DeepSeek is expanding its team by hiring 150 engineers focused on server-side engineering, as the demand for its AI agent sandbox infrastructure grows. This move aims to enhance backend systems to support increasing workloads without directly involving AI model development.
✦ Why It Matters
Consider exploring server-side engineering roles to contribute to the growing AI infrastructure landscape.
Key Takeaways
- Explore backend engineering roles at DeepSeek for AI infrastructure development.
- Understand the importance of distributed filesystems in managing workloads.
- Learn about optimizing container environments for efficiency.
- Investigate how trajectory logs can enhance training processes.
How It Works
DeepSeek's Elastic Compute platform, DSec, efficiently manages agent workloads by utilizing a distributed filesystem, 3FS, which allows for shared read-only layers. This setup minimizes storage needs and speeds up environment startup times.
DSec also employs a globally ordered trajectory log to track commands and results, enabling agents to resume tasks without re-executing previous commands, thus preserving training progress.