Google researchers have revealed that memory and interconnect are the primary bottlenecks for LLM inference, not compute power, as memory bandwidth lags 4.7x behind.

Intel has announced plans to develop a hybrid AI processor combining x86 CPUs, AI accelerators, and programmable logic after ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. We are still only at the beginning of this AI rollout, where the training of models is still ...

AI inference uses trained data to enable models to make deductions and decisions. Effective AI inference results in quicker and more accurate model responses. Evaluating AI inference focuses on speed, ...

AI inference at the edge refers to running trained machine learning (ML) models closer to end users when compared to traditional cloud AI inference. Edge inference accelerates the response time of ML ...

You're currently following this author! Want to unfollow? Unsubscribe via the link in your email. Follow Emma Cosgrove Every time Emma publishes a story, you’ll get an alert straight to your inbox!

Logic and math are two key skills for accountability. Both play a vital role in performance management across your organization. If you’ve ever tackled a Sudoku puzzle, you know how logic and math ...

This shift has fundamentally changed how MVPs are built. A modern MVP is no longer a disposable prototype designed solely to test UI concepts or collect early feedback. It is a production-aware system ...