AWS, Cisco, CoreWeave, Nutanix and more make the inference case as hyperscalers, neoclouds, open clouds, and storage go ...

Nvidia’s $20 billion strategic licensing deal with Groq represents one of the first clear moves in a four-front fight over ...

In 2026, the question isn’t whether Kubernetes wins – it already has. And yet, many organizations are running mission-critical workloads on a platform they still treat as plumbing, not the operating ...

The number of AI inference chip startups in the world is gross – literally gross, as in a dozen dozens. But there is only one ...

Introduction Shared decision-making (SDM) requires that individuals are correctly and smoothly supported to make decisions. However, in Japan, development of decision aids (DAs) to support ...

Click here to run the webUI on Google Colab. You can also run this code on your local machine by installing the requirements and running the webui.py file. For ...

As generative AI becomes central to how businesses operate, many are waking up to shockingly high AI bills and slower response times from large LLMs. Groq’s inference chip can help bring these costs ...

Abstract: Deploying machine learning (ML) inference pipelines in databases become increasingly prevalent in many applications. In order to avoid data transfer between the database and ML runtimes, ...

Yes, experts expect AI’s energy use to skyrocket. Some predictions say that by 2028, AI could use as much electricity as 22% of all homes in the U.S. This means we need to build a lot more power ...

The cost of powering AI goes beyond just electricity bills, affecting ratepayers and potentially leading to unintended environmental consequences. Making AI more sustainable means creating more ...

Abstract: The rise of Large Language Models (LLMs) has greatly advanced Mental Disorders Detection (MDD) due to their strong language processing capabilities. However, LLMs are costly in computation ...