Browsing: inference

As inference scales, the data footprint grows with it Traditionally, AI infrastructure conversations have centered on the compute-intensive process of…

Since about 2020, AI has largely focused on training bigger and better models. Large language models (LLMs) ballooned from millions…

Even as the geopolitical conversation around AI continues to grow more fraught following the U.S. government’s actions to limit the…

Perplexity AI, the fast-growing search startup now valued at $20 billion, unveiled what it calls the first hybrid local-server inference…

At Computex 2026, Intel is offering a few more details and updates for its next-generation Data Center GPU product, code-named…

AI adoption is reaching an inflection point as the focus shifts from training new models to serving them. For the…

Meta signed a multibillion-dollar, multi-year deal with Amazon Web Services last week to deploy tens of millions of Graviton5 CPU…

The standard guidelines for building large language models (LLMs) optimize only for training costs and ignore inference costs. This poses…

For the last 18 months, the CISO playbook for generative AI has been relatively simple: Control the browser.Security teams tightened…

Intel and SambaNova on Wednesday announced their joint production-ready heterogeneous inference architecture that relies on AI accelerators or GPUs for…