It’s the combination of the speed and low latency of 5G, plus the extended reach of edge computing, and the intelligence of AI that can power the kinds of impactful applications and futuristic scenarios that we were all originally promised with 5G. To its credit, NVIDIA seems to have recognized this point a while ago. - Bob O’Donnell, President and Chief Analyst, TECHnalysis Research, LLC
What is clear from the BlueField-3 A100 announcement is that NVIDIA is betting big on broad adoption of Arm-based chip architectures and on self-contained AI-over-5G platforms that combine DPUs, GPUs and Arm-based CPUs to power everything from AI to transactional applications. These systems are the future. - James Kobielus, Senior Research Director, Data Communications and Management, TDWI
With the new [AI-on-5G] lab, the partners will take the next step toward driving AI application deployment by giving 5G network operators, and their infrastructure and AI software partners an environment in which to develop, test and adopt new solutions for different customer environments. - Dan O’Shea, Reporter, FierceElectronics