Meta has introduced the latest iteration of its proprietary chips dedicated to AI tasks. The Meta Training and Inference Accelerator (MTIA) v2 chips, developed...
During its 55th annual shareholders’ meeting, Samsung Electronics made waves with its declaration of intent to enter the AI processor market, aiming squarely at...
14-inch M3 Pro MacBook Pro review: The sweet spot | PCWorld
Skip to content
<!-- -->
Image: Thomas Armbrüster
At a glanceExpert's Rating
Pros18GB unified memory standardQuietGood performanceConsLow...
IntroductionReal-time AI systems rely heavily on fast inference. Inference APIs from industry leaders like OpenAI, Google, and Azure enable rapid decision-making. Groq’s Language Processing...
Chiplets are gaining renewed attention in the automotive market, where increasing electrification and intense competition are forcing companies to accelerate their design and production...
Sponsored ArticleThe expanding use of AI in industry is accelerating more complex approaches — including machine learning (ML), deep learning and even large language...
When deploying a large language model (LLM), machine learning (ML) practitioners typically care about two measurements for model serving performance: latency, defined by the...
Experts at the Table: Semiconductor Engineering sat down to talk about the path forward for memory in increasingly heterogeneous systems, with Frank Ferro, group...
Introduction
In AI, two distinct challenges have surfaced: deploying large models in cloud environments, incurring formidable compute costs that impede scalability and profitability, and accommodating...
AI is changing processor design in fundamental ways, combining customized processing elements for specific AI workloads with more traditional processors for other tasks.
But the...
