Arrcus launched a new network fabric layer targeted at potential traffic bottlenecks caused by the growing use of AI inferencing services.

Artificial Intelligence serves as a fundamental construct for large-scale societal transformation when integrated with open ...

FriendliAI also offers a unique take on the current memory crisis hitting the industry, especially as inference becomes the dominant AI use case. As recently explored by SDxCentral, 2026 is tipped to ...

Enterprises expanding AI deployments are hitting an invisible performance wall. The culprit? Static speculators that can't keep up with shifting workloads. Speculators are smaller AI models that work ...

In an interview at the India AI Impact Summit 2026, Qualcomm’s Durga Malladi explained why the industry must shift toward Physical AI and hybrid inference.

Rising complexity in AI models and an explosion in the number and variety of networks is leaving chipmakers torn between fixed-function acceleration and more programmable accelerators, and creating ...

Meet llama3pure, a set of dependency-free inference engines for C, Node.js, and JavaScript Developers looking to gain a ...

AI is advancing faster than ever—that much is clear. But what’s often overlooked is the knock on effect on computing power, which is struggling to keep up with demand. With models like DeepSeek and ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now The gloves came off at Tuesday at VB ...

Billionaire investor Chamath Palihapitiya has issued a stark warning about the shifting AI landscape, following Chinese startup DeepSeek’s demonstration of a cost-efficient AI model that triggered a ...

Infosys co-founder Nandan Nilekani states AI agents on open networks are crucial for societal change. He stresses removing language barriers and lowering AI inference costs for mass adoption, citing ...