What role is left for decentralized GPU networks in AI?

As AI demand shifts from training to inference, decentralized networks emerge as a complementary layer for idle consumer hardware.

Jensen Huang says Nvidia's Vera CPU will challenge Xeon and Epyc in the data center

This decision represents far more than a new product launch; it is the culmination of Nvidia's push to become a one-stop silicon provider for AI and ...
EDN

Round pegs, square holes: Why GPGPUs are an architectural mismatch for modern LLMs

The saying “round pegs do not fit square holes” persists because it captures a deep engineering reality: inefficiency most ...
IEEE

Performance-Enhanced Reservoir Computing System Based on Microring Resonators Utilizing Multi-Wavelength Parallel Processing

Abstract: We numerically demonstrate a reservoir computing scheme based on silicon microring utilizing multi-wavelength parallel processing. This scheme shows a significant improvement in the ...
GitHub

Can Large Language Models Predict Parallel Code Performance?

We took this version of HeCBench and are modifying it to build the CUDA and OMP codes to gather their roofline performance data. So far we have a large portion of the CUDA and OMP codes building ...