Semiconductor manufacturer AMD is seeking to capitalize on growing demand for agentic artificial intelligence (AI) with its next-generation Ryzen AI Max 400 series processors, which are designed to run continuous AI workloads locally rather than relying entirely on cloud services.
AMD is urging enterprises to rethink their computing infrastructure as agentic AI adoption drives up token consumption and cloud computing costs, with the chipmaker pointing to distributed AI architectures as one way to manage expenses.
Australian IT infrastructure provider CMTG has upgraded its private cloud platform with Lenovo servers powered by AMD processors, as the company looks to improve virtual desktop performance and prepare its infrastructure for artificial intelligence workloads.
Take the AMD Tokenomics Calculator for a spin and compare your cloud, local, and hybrid AI costs. Run the numbers, see where your break-even falls, and decide how much of your AI spending belongs in the cloud.
With the launch of the AMD Ryzen 7 7700X3D processor, AMD has significantly enhanced the choices available on the AM5 platform, making it a more attractive option for both seasoned gamers and first-time builders.
Microsoft will deploy AMD’s next-generation Helios rack-scale systems on its Azure cloud platform as the companies expand their collaboration across processors, networking hardware, and artificial intelligence software.
AI has finally moved out of the realm of promises and into the device that's on your desk or backpack. It is already a genuine transformation in the way we work, create and play.
Chipmaker AMD is positioning its processors, accelerators, networking technologies, and software as key components of the emerging hybrid computing infrastructure expected to support the commercialization of quantum computing.
Edge AI deployments are rising due to promises of real-time responses, reduced network dependence, and — as physical AI that can interact with the real world is piloted — more opportunities for automation.
Enterprise adoption of AI-capable personal computers is accelerating as organizations shift from experimentation to deployment and prepare for the next phase of artificial intelligence, according to an IDC white paper.
