amd

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.

Chipmaker AMD is pitching its computing technologies as essential to the next phase of space exploration, as the United States pivots toward sustained lunar operations and deeper space missions.

Chipmaker AMD is positioning a new class of devices called “agent computers” as the next stage in personal computing, built around artificial intelligence systems that can independently perform tasks on behalf of users.

Indonesian cloud provider Biznet Gio said it has improved scalability and cost efficiency in its infrastructure after deploying AMD EPYC server processors, as demand for AI workloads strains existing hardware resources.

Processors long considered secondary to GPUs in artificial intelligence (AI) systems are drawing renewed attention as “agentic AI” drives more complex, multi-step workloads inside data centers.

The ASRock X870E Taichi motherboard truly makes an excellent partner for the AMD Ryzen 7 9850X3D. Its advanced overclocking features, premium build quality, and reliable performance make it a top choice for gamers and overclocking enthusiasts alike. 

Unlike traditional AI models, agentic AI does not just respond to queries – it reasons, plans, and takes actions across systems.

Billed as the world’s most powerful tech event, CES 2026 opened on Tuesday, Jan. 6, with thousands of organizations showcasing their latest technologies. Among them, semiconductor behemoth AMD grabbed attention with its latest launches for artificial intelligence (AI) and gaming devices.

Graphics processing units (GPUs) have become the default upgrade for companies building AI systems, particularly for inferencing — the process by which trained models generate outputs from new data. But relying on GPUs alone can limit performance and drive up costs, according to semiconductor firm AMD.