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 ...

Running AI in the public cloud can presents enterprises with numerous concerns about data privacy and security. That's why some enterprises will choose to deploy AI on a private cloud or on-premises ...

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

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 ...

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 ...

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 ...

Kaist professor Kim Jeong-ho predicts HBF overtakes HBM as AI memory by 2038 Memory-centric AI era accelerates as Kaists Kim ...