Napster and Ericsson announced today a global partnership to offer the first complete, fully integrated digital music service available for mobile operators. The service will carry the universally known Napster brand and combine elements of Napster�s popular PC offering and Ericsson�s personalized music service, currently utilized by more mobile operators than any other in the world. The Napster and Ericsson business model accommodates mobile operator participation in all revenue streams. The service is scheduled to go live in Europe over the next 12 months and will initially be offered to operators in select markets in Europe, Asia, Latin America and North America. The new service will support coordinated wireless and PC downloading of digital music in both subscription and a la carte models, and phone-based initiation will ensure convenient and easy music library access for both mobile and PC usage. The service scales to current handset models and networks but can also accommodate next-generation technology for newer handsets on higher-speed networks and is designed to work on mobile phones from all major manufacturers that support content protected by digital rights management.
Enterprise AI adoption keeps running into the same wall: the moment sensitive data, model weights, or agent memory leave a tightly controlled environment, security teams lose visibility into what happens to them while the workload is actually running. Confidential computing exists to close that gap, and new research from ABI Research shows the technology has matured enough, across CPUs, GPUs, containers, and now agentic AI, to become a foundational requirement for enterprises building sovereign AI infrastructure: computing environments they control end to end rather than simply rent. Protection is Moving From CPUs to GPUs ABI Research finds that CPU-based confidential computing is closest to mass-market adoption, the product of years spent hardening chip-level isolation for general workloads. GPU-based confidential computing is now generating the strongest momentum, and for good reason. It addresses one of the largest unresolved gaps in AI security: protecting data and models while inf...