Advancing Private AI Compute with secure, server-side memory
What changed
A technical update on our Private AI Compute architecture, which will enable persistent, cross-device AI memory with on-device privacy standards. AI is becoming more capable and intuitive — remembering what matters, understanding the world around you, and acting at your direction. Privacy and trust are core to making that possible, ensuring your data stays private and protected as AI systems evolve to provide more continuous assistance across your devices.
Why it matters
A concrete addition to Practical AI: Tools, Models & Frameworks: it changes what's available to builders today rather than being general commentary.
How it compares
Related prior coverage to compare against:
- Introducing the Private Hub: A New Way to Build With Machine Learning
- The AI compute gap: Enterprises are buying infrastructure faster than they can measure what it costs
- OpenAI Codex
Sources
- Advancing Private AI Compute with secure, server-side memory (deepmind-blog)primary