Mark Cuban is using peer-to-peer technology to distribute free downloads of high-definition video from his HDNet network. The initiative will begin by offering a special 20-minute program of highlights from the network's exclusive live coverage of the launch of the Discovery space shuttle. HDNet partnered with peer-to-peer delivery specialists Red Swoosh and online storage and technology company Box.net on the promotional project, which is designed to expose the widest possible audience to HDNet programming and high-definition content in general. "The combination of RSS delivery from Box.net and Red Swoosh P2P technology, particularly their backend services, has created a new opportunity to test the delivery of promotional high-definition HDNet content to those who might not otherwise get HDNet," Cuban said. "As unique opportunities come up to highlight our content, we will use this great delivery platform." The content is delivered in 1080i resolution and Windows Media Video HD format using Red Swoosh's secure peer-to-peer technology. Users can obtain this and all future content by visiting www.hd.net/downloads and signing on to receive HDNet's BetaFeed powered by Box.net.
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...