Rebellions CEO: AI compute power has shifted to inference

Sunghyun Park, CEO of South Korean chipmaker Rebellions, discusses the latest trends in artificial intelligence and the ...

Tom Waits has the perfect voice for a protest song

Tom Waits has returned to music with a collaboration with Massive Attack. The song 'Boots on the Ground' sees the folk star ...
EDN

The truth about AI inference costs: Why cost-per-token isn’t what it seems

The AI industry has converged on a deceptively simple metric: cost per token. It’s easy to understand, easy to compare, and easy to market. Every new system promises to drive it lower. Charts show ...
InfoWorld

Google targets AI inference bottlenecks with TurboQuant

Google says its new TurboQuant method could improve how efficiently AI models run by compressing the key-value cache used in LLM inference and supporting more efficient vector search. In tests on ...
Wall Street Journal

What Is Inference? Explaining the Massive New Shift in AI Computing

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 ...
Reuters

Nvidia bets on AI inference as chip revenue opportunity hits $1 trillion

New revenue opportunity forecast marks big step-up from $500 billion seen through 2026 Nvidia unveils CPU, AI system based on Groq's technology to for inference computing Nvidia faces increased ...
Wall Street Journal

Amazon Announces Inference Chips Deal With Cerebras

Amazon Web Services plans to deploy processors designed by Cerebras inside its data centers, the latest vote of confidence in the startup, which specializes in chips that power artificial-intelligence ...
SiliconANGLE

New memory architecture targets AI inference bottlenecks

Lightbits Labs Ltd. today is introducing a new architecture aimed at addressing one of the most stubborn bottlenecks in large-scale artificial intelligence inference: the growing mismatch between the ...
The Next Platform

We Need A Proper AI Inference Benchmark Test

Companies are spending enormous sums of money on AI systems, and we are now at a point where there are credible alternatives to Nvidia GPUs as the compute engines within these systems. Given the ...
The Motley Fool

The Artificial Intelligence (AI) Inference Market Could Reach $255 Billion by 2030. These Stocks Are Best Positioned to Win.

Nvidia is not just a leader in training, but also in AI inference. AMD has carved out a nice niche in inference, and also has a nice agentic AI opportunity with its CPUs. Broadcom is set to benefit ...
The Motley Fool

Forget AI Training: AI Inference Is the Real Money Maker in 2026. Here Are 2 Stocks to Own.

Inference will take over for training as the primary AI compute moving forward. Broadcom has struck gold with its custom ASICs for AI hyperscalers. Arm Holdings should benefit immensely as inference ...
Semiconductor Engineering

AI Inference Needs A Mix-And-Match Memory Strategy

Interactive LLMs (chat, copilots, agents) with strict latency targets Long‑context reasoning (codebases, research, video) with massive KV (key value) cache footprints Ranking and recommendation models ...