Every ChatGPT query, every AI agent action, every generated video is based on inference. Training a model is a one-time capital expense. Serving it is the recurring operational cost that scales with ...

NTT unveils AI inference LSI that enables real-time AI inference processing from ultra-high-definition video on edge devices and terminals with strict power constraints. Utilizes NTT-created AI ...

Startups as well as traditional rivals are pitching more inference-friendly chips as Nvidia focuses on meeting the huge demand from bigger tech companies for its higher-end hardware. But the same ...

“I get asked all the time what I think about training versus inference – I'm telling you all to stop talking about training versus inference.” So declared OpenAI VP Peter Hoeschele at Oracle’s AI ...

Qualcomm’s AI200 and AI250 move beyond GPU-style training hardware to optimize for inference workloads, offering 10X higher memory bandwidth and reduced energy use. It’s becoming increasingly clear ...

Over the past several years, the lion’s share of artificial intelligence (AI) investment has poured into training infrastructure—massive clusters designed to crunch through oceans of data, where speed ...

Sponsored Feature: Training an AI model takes an enormous amount of compute capacity coupled with high bandwidth memory. Because the model training can be parallelized, with data chopped up into ...

Data analytics developer Databricks Inc. today announced the general availability of Databricks Model Serving, a serverless real-time inferencing service that deploys real-time machine learning models ...