Drumil Joshi presents an AI-powered dashboard that turns high-frequency battery data into real-time insights at PVPMC 2025.

VeriSilicon (688521.SH) today announced the latest advancements in its high-performance and scalable GPGPU-AI computing IPs.

VeriSilicon (688521.SH) today announced that its ultra-low energy and high-performance Neural Network Processing Unit (NPU) IP now supports on-device inference of large language models (LLMs) with AI ...

Accelerated computing speeds up complex tasks using GPUs and AI chips, reshaping industries from finance to healthcare and ...

Provide AI acceleration with high computing density, multi-chip scaling, and 3D-stacked memory integration SHANGHAI--BUSINESS WIRE--VeriSilicon ...

Machine learning and deep learning tasks demand substantial computing power. Whether you’re training a convolutional neural ...

The material in this repo demonstrates multi-GPU training using PyTorch. Part 1 covers how to optimize single-GPU training. The necessary code changes to enable multi-GPU training using the ...

TeleTron leverages mixed parallel strategy, activation checkpointing and fused cuda kernels at the same time to optimize GPU memory usage, so as to train HunyuanVideo with more than 30s 720P video ...

In one device, photothermal microcavities simultaneously measure light power and wavelength for potential applications in ...