Kimi K2.5 introduces a multi-agent orchestration with up to 100 workers, helping teams cut complex task time and boost accuracy.

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

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 ...

Abstract: A precision-scalable neural processing unit, considering the quantization-sensitive of each neural network layer, has large hardware redundancy in multiplication units and shift logics. In ...

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 ...