Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2, 2026, a system that compiles any natural-language task spec into a 23MB ...

OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, using software optimization alone. Engineers achieved more than 50% savings ...

As AI becomes cheaper and more capable, I believe it will weave itself into the fabric of every job description.

KV, a low-rank KV cache compression method achieving up to 20x reduction, with the paper selected as a Spotlight at ICML 2026 ...

Introduces a low-rank-based approach to KV cache compression, one of the key bottlenecks in long-context AISpeeds up attention computation by up to 6.9x and overall generation throughput by up to 3.1x ...

Chip stocks were hit hard Wednesday following a report from The Information that OpenAI engineers have unlocked software optimizations capable of slashing inference costs in half. These breakthrough ...

Chip stocks were hit hard Wednesday following a report from The Information that OpenAI engineers have unlocked software optimizations capable of slashing inference costs in half. These breakthrough ...

GitHub moved the AI coding landscape on Wednesday when it made Kimi K2.7 Code — a Beijing-built, open-weight model from Moonshot AI — generally available in the GitHub Copilot model picker, marking ...

SINGAPORE, SINGAPORE, SINGAPORE, July 3, 2026 /EINPresswire.com/ -- PRESS RELEASE FOR IMMEDIATE RELEASE Date: May 30, ...

OpenAI has found a way to reduce its inference costs by roughly 50%, a development that could reshape the economics of running large language models at scale. Inference is the process of actually ...