ArchAgent v2 achieves multi-level data prefetching via evolutionary search
dair_ai · x · 2026-08-16
Google DeepMind introduces ArchAgent v2, scaling agentic algorithm discovery to multi-level data prefetching. It employs cascaded evolutionary search and a hardware-realizability feedback loop to prune candidates that exceed strict budgets. The discovered three-level prefetcher beats the prior champion, achieving a 3.8% geometric mean IPC speedup.
More from Infra
- a16z: NeoClouds Repurpose Crypto Infrastructure for AI Compute Boom — a16z · 2026-08-16
- OpenAI Previews GPT-5.6 Sol Ultrafast Mode: 14x Speed Boost Powered by Cerebras — Justgototheeffinmoon · 2026-08-16
- Colibri: Run 2.8T-parameter MoE models on a 25GB laptop with pure C inference engine — alex_verem · 2026-08-16
- Local AI doesn't need to replace frontier cloud models; hybrid is the destination — ingliguori · 2026-08-16
- Polymarket: 69% Chance a US State Enacts Data Center Moratorium by End of 2026 — Polymarket · 2026-08-16
- New AI Agents Costing More Than Planned: The Silent Budget Killer — rvp · 2026-08-16