HP Amplify — NVIDIA and HP Inc. today announced that NVIDIA CUDA-X™ data processing libraries will be integrated with HP AI workstation solutions to turbocharge the data preparation and processing work that forms the foundation of generative AI development.
NVIDIA and HP Supercharge Data Science and Generative AI on Workstations
March 7, 2024 by Leave a Comment
@insideAI Newspodcast: The Open Source Stack Unleashing a Game-Changing AI Hardware Shift
February 12, 2023 by Leave a Comment
Welcome to the insideAI News series of podcast presentations, a highly curated collection of topics relevant to our global audience. Topics include big data, data science, machine learning, AI, and deep learning. Enjoy! This episode discusses the emerging open source software stack for PyTorch that makes it easier and more accessible to implement non-NVIDIA backends.
Interview: Global Technology Leader PNY
June 8, 2020 by Leave a Comment
We recently caught up with our friends over at PNY to discuss a variety of topics affecting data scientists conducting work on big data problem domains including how “Big Data” is becoming increasingly accessible with big clusters with disk-based databases, small clusters with in-memory data, single systems with in-CPU-memory data, and single systems with in-GPU-memory data. Answering our inquiries were: Bojan Tunguz, Senior System Software Engineer, NVIDIA and Carl Flygare, NVIDIA Quadro Product Marketing Manager, PNY.
ArrayFire Releases v3.6 Announced
May 16, 2018 by Leave a Comment
ArrayFire announces the release of ArrayFire v3.6, our open source library of parallel computing functions supporting CUDA, OpenCL, and CPU devices. This new version of ArrayFire includes several new features that improve the performance and usability for applications in machine learning, computer vision, signal processing, statistics, finance, and more.
