Physical AI and the foundational models that go with them will be a recurring theme across enterprises now that Nvidia has laid out its Cosmos world foundation models.
The idea of fine tuning and model inferencing workloads carried out on a PC and then being deployed is becoming real.
Akamai launched its Akamai App Platform, which aims to make it easier for developers to deploy cloud native applications on Kubernetes. Akamai's App Platform highlights how the company continues to transition to a security and cloud infrastructure company.
Qualcomm delivered fourth quarter revenue growth of 19% as it saw strength across its smartphone, auto and Internet of things units.
Arm is launching CSS (Compute Subsystem) for Client, an integrated set of technologies that aims to optimize AI workloads on edge devices. The effort reflects how more AI workloads are going to be distributed to edge devices such as PCs and smartphones.
Microsoft and its merry band of PC makers launched AI PCs at scale. The launch of Copilot+ PCs, ahead of Microsoft Build 2024, was notable for a host of reasons once you get past how executives were a bit obsessed with outperforming Apple's MacBook.
Akamai announced plans to embed cloud computing across its edge network via an initiative called Gecko (Generalized Edge Compute) in a bid to grab AI inferencing, multiplayer gaming, streaming media, analytics and spatial computing workloads.
Verizon said large enterprises are building out private 5G networks for connectivity and edge computing use cases.
HPE CEO Antonio Neri and interim CFO Jeremy Cox provided noted the company can expand its total addressable market by almost $100 billion over the next four years due to AI use cases.
Akamai Technologies wants to be your infrastructure as a service alternative by offering compute at the edge of networks for low-latency workloads
PE's intelligent edge unit delivered second quarter revenue of $1.3 billion, up 50% from a year ago. The HPC and AI unit had revenue of $840 million, up 18% from a year ago.
