Scale AI with Google's TPU software stack
Skills:
AI Systems Design53%
Unlock massive AI scale with a deep dive into Google's open-source software ecosystem. Explore high-performance tools designed to optimize the model lifecycle: pre-training with MaxText, post-training with Tunix, and inference with vLLM. Discover how to leverage these innovations alongside JAX and PyTorch, accelerated by infrastructure like Google TPUs, to build a state-of-the-art toolkit for next-generation AI.
Speakers: Josh Gordon, Girija Sathyamurthy, Rob Mulla
Watch the AI sessions from Google I/O 2026 → https://goo.gle/AI-at-IO26
Subscribe to Google for Developers → https://goo.gle/developers
#GoogleIO
Event: Google I/O 2026
Products Mentioned: AI/Machine Learning
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: AI Systems Design
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
I couldn’t afford an AI Assistant, So I built my own
Medium · Machine Learning
Architecting Sub-150ms Hybrid RAG for Voice Agents: Combining pgvector, BM25, and Async FastAPI…
Medium · LLM
Como treinei uma IA de suporte com histórico real de atendimento: da conversa bruta ao RAG em produção
Dev.to AI
Chat is Dead: How JSON Prompting Cut My AI Costs by 73%
Dev.to · CallmeMiho
🎓
Tutor Explanation
DeepCamp AI