A new proposal from tech giant Yandex overcomes a major hurdle in the advancement of machine learning by bringing the process to the masses, so that anyone with a home computer can help train a large neural network.
TensorRT 8 Provides Leading Enterprises Fast AI Inference Performance
July 20, 2021 by Leave a Comment
NVIDIA today launched TensorRT™ 8, the eighth generation of the company’s AI software, which slashes inference time in half for language queries — enabling developers to build the world’s best-performing search engines, ad recommendations and chatbots and offer them from the cloud to the edge.
Walmart Innovates at the Retail Edge with AI
May 24, 2021 by Leave a Comment
Through the combination of world-class software from Malong Technologies and a powerful processing platform Dell Technologies and NVIDIA, Walmart is able to deliver groundbreaking AI acceleration at the store edge.
Comparative Testing of GPU Servers with New NVIDIA RTX30 Video Cards in AI/ML Tasks
December 6, 2020 by 1 Comment
In early September 2020, NVIDIA debuted its second generation GeForce RTX 30 family of graphics cards, the Ampere RTX architecture. NVIDIA broke with tradition when its new generations of cards were sold more expensive than their predecessors, which means that the cost of training models has remained more or less the same.
Penguin Computing Announces OriginAI Powered by WekaIO
November 19, 2020 by Leave a Comment
Penguin Computing, a division of SMART Global Holdings, Inc. (NASDAQ: SGH) and a leader in high-performance computing (HPC), artificial intelligence (AI), and enterprise data center solutions, announced that it has partnered with WekaIO™ (Weka) to provide NVIDIA GPU-Powered OriginAI, a comprehensive, end-to-end solution for data center AI that maximizes the performance and utility of high-value AI systems.
NVIDIA DGX Station A100 Offers Researchers AI Data Center-in-a-Box
November 16, 2020 by Leave a Comment
NVIDIA today announced the NVIDIA DGX Station™ A100 — the world’s only petascale workgroup server. The second generation of the groundbreaking AI system, DGX Station A100 accelerates demanding machine learning and data science workloads for teams working in corporate offices, research facilities, labs or home offices everywhere.
NetApp AI and Run:AI Partner to Speed Up Data Science Initiatives
October 27, 2020 by Leave a Comment
NetApp, a leading cloud data services provider has teamed up with Run:AI, a company virtualizing AI infrastructure, have teamed up to allow faster AI experimentation with full GPU utilization. The partnership allows teams to speed up AI by running many experiments in parallel, with fast access to data, utilizing limitless compute resources. Run:AI enables full GPU utilization by automating resource allocation, and NetApp® ONTAP® AI proven architecture allows every experiment to run at maximum speed by eliminating data pipeline bottlenecks.
NVIDIA Advances Performance Records on AI Inference
October 21, 2020 by Leave a Comment
NVIDIA today announced its AI computing platform has again smashed performance records in the latest round of MLPerf, extending its lead on the industry’s only independent benchmark measuring AI performance of hardware, software and services.
Interview: Global Technology Leader PNY
July 13, 2020 by Leave a Comment
The following whitepaper download is a reprint of the recent interview 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.
Transform Raw Data to Real Time Actionable Intelligence Using High Performance Computing at the Edge
June 25, 2020 by Leave a Comment
In this special guest feature, Tim Miller from One Stop Systems discusses the importance of transforming raw data to real time actionable intelligence using HPC at the edge. The imperative now is to move processing closer to where the data is being sourced, and apply high performance computing edge technologies so real time insights can drive business actions.
