The on-device AI market is projected to surpass $75.5 billion by 2033 as privacy concerns, real-time intelligence and edge computing drive adoption.
Google has launched an offline AI app that works without internet, enabling on-device processing and improved privacy for users.
PrismML has launched a 1-bit AI model designed to improve efficiency and performance in edge computing environments.
Cloudflare has released Moltworker, a serverless solution that lets personal AI agents run on its edge infrastructure without requiring dedicated hardware.
Oracle founder Larry Ellison outlines two categories of AI models, highlighting how low latency intelligence is shaping real time decision making.
Akamai to establish an AI inference cloud in India, focusing on medium-sized AI models, local innovation, and scalable cloud-edge infrastructure.
