The failing of WCDMA to deliver the true 3G experience has forced the industry to push ahead earlier than expected with the implementation of HSDPA and HSUPA. The knock-on effect is that this has left a void between 3.5G(HSDPA/HSUPA) and what will become 4G and the need to plug that gap is now apparent. �There is concern within the leading wireless operators and manufacturers that the mass market take-up of mobile triple play could cause havoc on existing infrastructure if they do not act today,� said report author, Nick Lane. �WCDMA has been nothing short of a disappointment. Though HSDPA will deliver true 3G applications, if these high-speed services are adopted by consumers in significant numbers, HSDPA networks will become congested. The need to progress the wireless networks is here today.� As HSDPA implementation commences in during 2005 and throughout 2006, followed by HSUPA in late-2006 to 2007, the world�s leading mobile operators and manufacturers are already casting doubts on WCDMA�s mid-term effectiveness.
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...