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Tag: GPU

Penguin Computing Announces OriginAI Powered by WekaIO
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 …
NVIDIA DGX Station A100 Offers Researchers AI Data Center-in-a-Box
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
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 …
NVIDIA Advances Performance Records on AI Inference
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.
Transform Raw Data to Real Time Actionable Intelligence Using High Performance Computing at the Edge
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 …
Interview: Global Technology Leader PNY
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, …
Spell MLOps Platform Launches ‘Spell for Private Machines’ to Streamline DevOps and Foster Deeper Team Collaboration for Enterprises
Spell – a leading end-to-end machine learning platform that empowers businesses to get started with machine learning projects and make better use of their data – announced its new Spell for Private Machines integration. With Spell for Private Machines, enterprise teams that are spearheading machine learning projects will be able …
The Essential Guide: Machine Scheduling for AI Workloads on GPUs
This white paper by Run:AI (virtualization and acceleration layer for deep learning) addresses the challenges of expensive and limited compute resources and identifies solutions for optimization of resources, applying concepts from the world of virtualization, High-Performance Computing (HPC), and distributed computing to deep learning.
Benchmarking NVIDIA CUDA 9 and Amazon EC2 P3 Instances Using Fashion MNIST
In this post, Josh Poduska, Chief Data Scientist at Domino Data Lab, writes about benchmarking NVIDIA CUDA 9 and Amazon EC2 P3 Instances Using Fashion MNIST. If interested in additional insight from Poduska, he will also be presenting “Managing Data Science in the Enterprise” at Strata New York 2018. Introduction …
Announcing Databricks Runtime for Machine Learning
Databricks is thrilled to announce the Databricks Runtime for Machine Learning, including ready-to-use Machine Learning frameworks, simplified distributed training, and GPU Support. Register for our upcoming webinar to learn more. Today more than ever, data scientists and Machine Learning practitioners have the opportunity to transform their business by implementing sophisticated …