How AI Inference Costs Are Reshaping The Cloud Economy

The shift from training-focused to inference-focused economics is fundamentally restructuring cloud computing and forcing ...
Semiconductor Engineering

GDDR6 Delivers The Performance For AI/ML Inference

AI/ML is evolving at a lightning pace. Not a week goes by right now without some new and exciting developments in the field, and applications like ChatGPT have brought generative AI capabilities ...
The Next Platform

With MTIA v2 Chip, Meta Can Do AI Inference, But Not Training

If you control your code base and you have only a handful of applications that run at massive scale – what some have called hyperscale – then you, too, can win the Chip Jackpot like Meta Platforms and ...
Forbes

HBM And Emerging Memory Technologies Enable AI Training And Inference

Forbes contributors publish independent expert analyses and insights. During congressional hearing in the House of Representatives’ Energy & Commerce Committee Subcommittee of Communication and ...
The Next Platform

Skimpy HBM Memory Opens Up The Way For AI Inference Memory Godbox

Generative AI is arguably the most complex application that humankind has ever created, and the math behind it is incredibly complex even if the results are simple enough to understand. GenAI also it ...
Semiconductor Engineering

Can Compute-In-Memory Bring New Benefits To Artificial Intelligence Inference?

Compute-in-memory (CIM) is not necessarily an Artificial Intelligence (AI) solution; rather, it is a memory management solution. CIM could bring advantages to AI processing by speeding up the ...
The Motley Fool

What Is AI Inference?

AI inference uses trained data to enable models to make deductions and decisions. Effective AI inference results in quicker and more accurate model responses. Evaluating AI inference focuses on speed, ...
VentureBeat

New ‘Test-Time Training’ method lets AI keep learning without exploding inference costs

A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to ...
Seeking Alpha

AMD Could Skyrocket With Advent Of Reasoning Agents

Reasoning models like OpenAI's "o1" demand exponentially more inference compute, which benefits AMD due to its superior memory bandwidth and latency capabilities. AI agents could further amplify ...
SiliconANGLE

Chip startup d-Matrix raises $275M to speed up inference with in-memory compute

Chip startup d-Matrix Inc. today disclosed that it has raised $275 million in funding to support its commercialization efforts. The Series C round was led by Bullhound Capital, Triatomic Capital and ...
Computer Weekly

What are the storage requirements for AI training and inference?

Despite ongoing speculation around an investment bubble that may be set to burst, artificial intelligence (AI) technology is here to stay. And while an over-inflated market may exist at the level of ...