Keynote: Open Source Stack Empowers the AI Era
summary
openEuler showcases a runnable open source AI stack called Intelligence Boom with an installer and agent platform (OE deploy, tuning and maintenance agents) that claim a 30% efficiency gain in security checks and a drag‑and‑drop private‑data training flow to build QA systems. Stack pieces include RMCache, FalconFS, a GM unified memory layer, compilers, Kubernetes/RE task managers, PGVector/openGoss vector DBs, and PyTorch/TensorFlow. Two accelerators — SixHacks (CPU path adds ~10–30% throughput, concurrency +5–10%) and ExpertKit (+10–15% throughput) — target inference.
AI-written summary · about
chapters (7)
- 0:00Open Source AI stack intro
- 1:06AI for OS and OS for AI
- 2:36AI-powered install & agents
- 4:24AI infrastructure challenges
- 5:11Intelligence Boom stack
- 7:38SIX Hacks & Expert Kit
- 10:30OpenEuler's AI future
related talks
27mKeynote: Open Source in the Age of AI
16mKeynote: Open Source for AI and AI for Open Source
12mCo-Evolution: How the Open Source Intelligence Stack Compounds
16mKeynote: Accelerating AI/ML Development with Open Source Software
13mKeynote: To Nemotron and Beyond: Building the Open Source AI Ecosystem
33mKeynote: Fine-tuning our way towards openness in AI
16mKeynote: Accelerating AI/ML Development with Open Source Software
16mKeynote: An Open-Source Stack for AI Compute: Kubernetes + Ray + PyTorch + vLLM
