Since about 2020, AI has largely focused on training bigger and better models. Large language models (LLMs) ballooned from ...
Everyone is not just talking about AI inference processing; they are doing it. Analyst firm Gartner released a new report this week forecasting that global generative AI spending will hit $644 billion ...
AI’s spotlight has long been on training, with companies amassing data and building larger models. The real challenge now is inference: running those models in production, serving billions of queries ...
Nvidia (NVDA) said leading cloud providers — Amazon's (AMZN) AWS, Alphabet's (GOOG) (GOOGL) Google Cloud, Microsoft (MSFT) Azure and Oracle (ORCL) Cloud Infrastructure — are accelerating AI inference ...
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 ...
A significant shift is under way in artificial intelligence, and it has huge implications for technology companies big and small. For the past half-decade, most of the focus in AI has been on training ...
While the tech world obsesses over headlines about the $100 million price tag to train GPT-4, the real economic story is happening in inference: the ongoing cost of actually running AI models in ...