The team behind continuous batching says your idle GPUs should be running inference, not sitting dark

FriendliAI — founded by the researcher behind continuous batching, the technique at the core of vLLM — is launching InferenceSense, a platform that fills idle neocloud GPU capacity with paid AI ...

The CUDA Power Play: Nvidia Is Investing $26 Billion In OpenAI Models

Nvidia's $26B open source bet ensures 90% of AI research runs on CUDA—CrowdStrike provides the security layer for enterprise deployment.

Transforming Data Science With NVIDIA RTX PRO 6000 Blackwell Workstation Edition

NVIDIA RTX PRO 6000 Blackwell Workstation Edition delivers ultimate acceleration for data science and AI workflows.
The Manila Times

Zymtrace Secures $12.2M to Recover Billions in Wasted GPU Spend Through Autonomous Optimization

Israel Ogbole, CEO and Co-Founder of Zymtrace (right), with Joel Höner, CTO and Co-Founder of Zymtrace (left). The company ...
IEEE

GPU-Accelerated Mixed-Precision FDFD Method for 3-D Electromagnetic Problems

Abstract: In this letter, a mixed-precision parallel finite-difference frequency-domain (FDFD) scheme is proposed for the efficient solution of 3-D electromagnetic problems. In the proposed scheme, ...