Cloud Computing

851 articles found

Google Unveils Sweeping Gemini Upgrades at I/O 2026, Including AI Video Generation and Autonomous Task Agent

Google Unveils Sweeping Gemini Upgrades at I/O 2026, Including AI Video Generation and Autonomous Task Agent

May 20, 2026
Google

Google unveils sweeping Gemini upgrades at I/O 2026, introducing a redesigned Neural Expressive interface, a personalized Daily Brief agent, cinematic AI video generation via Gemini Omni, and Gemini Spark — a 24/7 autonomous AI agent capable of managing emails, workflows, and third-party app integrations entirely in the background.

NVIDIA Begins Hand-Delivering Its First Custom CPU 'Vera' to OpenAI, Anthropic, and Other Top AI Labs

NVIDIA Begins Hand-Delivering Its First Custom CPU 'Vera' to OpenAI, Anthropic, and Other Top AI Labs

May 19, 2026
NVIDIA Blog

NVIDIA is hand-delivering its first custom CPU, Vera, to top AI labs including OpenAI, Anthropic, and SpaceXAI, featuring 88 custom Olympus cores and 50% faster per-core performance designed for agentic AI workloads, with Oracle Cloud Infrastructure set to deploy hundreds of thousands of units at hyperscale starting in 2026.

Claude's Cache Has a Hidden 62.5-Minute Rule That Could Save or Cost You Thousands

Claude's Cache Has a Hidden 62.5-Minute Rule That Could Save or Cost You Thousands

May 18, 2026
Ryan Skidmore

Claude's prompt cache follows a hidden 62.5-minute break-even rule — refresh a cached prefix before expiry or pay full rewrite costs, a ratio-based threshold that scales into thousands of dollars for large, expensive models like Opus 4.7, while context compaction carries its own hidden costs requiring up to 65 future …

47.6K-Star GitHub Repo Teaches Full ML Lifecycle From Training to Production Deployment

47.6K-Star GitHub Repo Teaches Full ML Lifecycle From Training to Production Deployment

May 15, 2026
GitHub

A massively popular 47.6K-star GitHub repository called Made With ML is teaching developers the complete machine learning lifecycle—from training and tuning to production deployment—using MLOps best practices, MLflow experiment tracking, Ray-powered cloud scaling, and fully automated CI/CD pipelines via GitHub Actions.

Previous
Page 15 of 86
Next
Showing 141 - 150 of 851 articles