GPU

NVIDIA leads the AI hardware race. But which of its GPUs should you use for deep learning?

For readers who are new to deep learning and who might be wondering what a GPU is, let’s start there.…

6 years ago

Sugar operating system: A new OS to enhance GPU acceleration security in web apps

Researchers at the University of California, Irvine presented Sugar (Secure GPU Acceleration), a new OS solution to enhance the security of…

6 years ago

TensorFlow 1.8.0-rc0 releases

With just 15 days from TensorFlow’s major release of 1.7.0, the TensorFlow Community is highly energetic and enthusiast to distribute…

6 years ago

Introducing MapD Cloud, the first Analytics Platform with GPU Acceleration on Cloud

California-based Big Data Analytics provider MapD Technologies announced MapD Cloud, a SAAS based analytics platform providing data scientists and big…

6 years ago

NVIDIA open sources NVVL, library for machine learning training

NVIDIA has open sourced NVVL, a library that provides GPU accelerated video decoding for DL training. Quick rundown of NVIDIA…

6 years ago

OpenAI announces Block sparse GPU kernels for accelerating neural networks

OpenAI, an Artificial intelligence research firm, brings in a wave of faster GPUs with their new GPU kernels, Block-Sparse GPU…

6 years ago

Titan V is the “most powerful PC GPU ever created,” Nvidia says

Nvidia has developed a certain knack of releasing only the “most powerful” products of late. Never mind. Let’s go beyond…

6 years ago