IBM or International Business Machines Corp had its worst day on stock market in more than 25 years on Monday, February 23.

Intel plans to tap into its ‘enterprise, cloud and partner channels’ for a new ‘multiyear strategic collaboration’ it has ...

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

Dropbox engineers have detailed how the company built the context engine behind Dropbox Dash, revealing a shift toward ...

Dell Technologies is on the lookout for an AI-ML Engineer MCP-Agentic to fill the vacancy in its Hyderabad office. In a full-time capacity, he/she will be respo ...

Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...

Microsoft has announced the launch of its latest chip, the Maia 200, which the company describes as a silicon workhorse designed for scaling AI inference. The 200, which follows the company’s Maia 100 ...

The focus of this new AI accelerator is inference— the production deployment of AI models in applications. Its architecture combines high compute performance with a newly designed memory system and a ...

The creators of the open source project vLLM have announced that they transitioned the popular tool into a VC-backed startup, Inferact, raising $150 million in seed funding at an $800 million ...

Google researchers have warned that large language model (LLM) inference is hitting a wall amid fundamental problems with memory and networking problems, not compute. In a paper authored by ...

In recent years, the big money has flowed toward LLMs and training; but this year, the emphasis is shifting toward AI inference. LAS VEGAS — Not so long ago — last year, let’s say — tech industry ...