New agent framework matches human-engineered AI systems — and adds zero inference cost to deploy

A new group-evolving agent framework from UC Santa Barbara matches human-engineered AI systems on SWE-bench — and adds zero ...

Alibaba's Qwen 3.5 397B-A17 beats its larger trillion-parameter model — at a fraction of the cost

These speed gains are substantial. At 256K context lengths, Qwen 3.5 decodes 19 times faster than Qwen3-Max and 7.2 times ...
Rock Paper Shotgun

Discord roll out global age verification system, including an "age inference" model that runs in the background

I hate Discord with the intensity of a supernova falling into a black hole. I hate its ungainly profusion of tabs and ...
Network World

Nvidia claims 10x cost savings with open-source inference models

Nvidia noted that cost per token went from 20 cents on the older Hopper platform to 10 cents on Blackwell. Moving to ...

The $20 Billion Bet On Inference: What Every AI Infrastructure Team Needs To Get Right

Every ChatGPT query, every AI agent action, every generated video is based on inference. Training a model is a one-time ...
Business Wire

Vultr Launches Cloud Inference to Simplify Model Deployment and Automatically Scale AI Applications Globally

WEST PALM BEACH, Fla.--(BUSINESS WIRE)--Vultr, the world’s largest privately-held cloud computing platform, today announced the launch of Vultr Cloud Inference. This new serverless platform ...
ZDNet

Nvidia doubles down on AI language models and inference as a substrate for the Metaverse, in data centers, the cloud and at the edge

Machine learning, task automation and robotics are already widely used in business. These and other AI technologies are about to multiply, and we look at how organizations can best take advantage of ...
Forbes

The Inference Economy: How Sparse Computing And Model Optimization Are Reshaping Enterprise AI Deployment

The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...