TLDRocket
Sign in
Latest Block’s new voice model sounds eerily human — TechCrunch Forced to pick, Grok’s AI model chooses Republicans. OpenAI’s picks De... — TechCrunch AWS says its AI security agent fixes 89% of bugs — but there’s a catch — The New Stack Building an agentic software factory? Start with the sensor. — The New Stack Here are the top AI agents that can live in your text messages — TechCrunch Why Kubernetes autoscalers keep fighting each other (and why the solut... — The New Stack Before you expand your GPU pool, measure the outcome — The New Stack Scammers used AI to clone her daughter’s voice and fake a kidnapping.... — Fortune

The AI intelligence platform

Every AI story that matters — and the intelligence behind it.

TLDRocket reads all relevant sources, removes duplicate coverage, and publishes a short neutral summary of every story, linking back to the original. Free, no spam, unsubscribe anytime.

Add to Slack

Every story also updates live profiles event timelines weekly rankings the AI Market Index

Friday, 17 October 2025

Solving virtual machine puzzles: How AI is optimizing cloud computing

Google Research 1 year ago 42

Google developed machine learning algorithms called NILAS, LAVA, and LARS to improve how virtual machines are allocated across physical servers in data centers by predicting VM lifetimes and continuously updating those predictions as VMs run. The NILAS algorithm has been deployed in Google's production data centers since early 2024 and increased empty hosts by 2.3–9.2 percentage points while reducing CPU stranding by approximately 3%. These improvements allow data centers to use their computing resources more efficiently and free up capacity for system maintenance and large workloads.

The daily briefing

Every AI story that matters, in your inbox by 8am.

TLDRocket reads all relevant sources, removes duplicate coverage, and summarises the day in two minutes. Follow companies and topics for alerts, or get the briefing in Slack. Free, no spam, unsubscribe anytime.