In this video from the 2017 GPU Technology Conference, Eliot Eshelman from Microway describes the company’s GPU expertise and wide range of accelerated HPC products. “Since 1982, Microway has delivered high performance computing solutions. We have in-depth experience with demanding Linux-based scientific/engineering applications. Leveraging NVIDIA’s latest Tesla GPUs, our team will design a solution for your specific applications. Our experts ensure your system is delivered fully tested and ready to run!”
One Stop Systems Receives Supplier Excellence Award from Raytheon
June 7, 2017 by Leave a Comment
Today One Stop Systems announced that Raytheon has recognized One Stop Systems with a Premier Supplier Excellence Award for their outstanding innovation, technical achievement and customer support. “We’re very honored to receive this award from Raytheon,” said Steve Cooper, CEO of OSS. “We believe the relationship and working well together is a very important piece of the successes we’ve had, particularly as technology advances. We’re very excited about this new product and we want to thank Raytheon for their support and trusting us to build the Data Storage Unit to meet all of Raytheon’s and the Navy’s requirements.”
Nvidia Partners with Hyperscale Vendors for HGX-1 AI Reference Platform
June 5, 2017 by Leave a Comment
Last week at the Computex conference, Nvidia launched a partner program with hyperscale vendors Foxconn, Inventec, Quanta and Wistron to more rapidly meet the demands for AI cloud computing. Through the program, NVIDIA is providing each partner with early access to the NVIDIA HGX reference architecture, NVIDIA GPU computing technologies, and design guidelines. HGX is the same […]
Podcast: Sumit Gupta on IBM’s New PowerAI Software for Data Scientists
June 4, 2017 by Leave a Comment
In this podcast, Sumit Gupta from IBM describes the company’s new PowerAI deep learning software distribution on Power Systems. PowerAI attacks the major challenges facing data scientists and developers by simplifying the development experience with tools and data preparation while also dramatically reducing the time required for AI system training from weeks to hours.
AMAX Showcases Virtualization Solutions for GPUs at GTC 2017
June 1, 2017 by Leave a Comment
In this video from GTC 2017, Dr. Rene Meyer from AMAX describes the company’s innovative virtualization solutions for GPU computing. “What we are showcasing here is a very interesting solution—a hardware/software solution. We not only present the hardware, but we put a software layer on top, which allows you to virtualize GPUs in those machines.”
HPC as a Service for High Performance Video Rendering
May 31, 2017 by Leave a Comment
In the past 5 years, GPUs have gotten even more powerful so rendering tasks can be completed even faster than before. Katie (Garrison) Rivera, of One Stop Systems, explains how HPC can act as a service for high performance video rendering.
The New Nvidia HGX-1: GPU Power for Machine Learning at Hyperscale
May 25, 2017 by
Rob Ober from Nvidia describes the company’s new HGX-1 reference platform for GPU computing. “Powered by NVIDIA Tesla GPUs and NVIDIA NVLink high-speed interconnect technology; the HGX-1 comes as AI workloads—from autonomous driving and personalized healthcare to superhuman voice recognition—are taking off in the cloud.”
Exxact Powers HPC & Deep Learning at the GPU Technology Conference
May 25, 2017 by
In this video from the 2017 GPU Technology Conference, Jason Chen from Exxact Corporation describes the company’s innovative GPU solutions for HPC & Deep Learning workloads. “Exxact Corporation is a global, value-added supplier of computing products and solutions. We provide services in IT distribution and system integration for HPC, Big Data, Cloud, and AV applications and markets, while servicing many of world’s top national labs, research universities, online retailers, and Fortune 100 & 1000 companies.”
Supermicro Showcases Powerful GPU Solutions at GTC 2017
May 24, 2017 by
In this video from GTC 2017, Rodolfo Campos from Supermicro describes the company’s innovative solutions for GPU-accelerated computing. “Leveraging our extensive portfolio of GPU solutions, customers can massively scale their compute clusters to accelerate their most demanding deep learning, scientific and hyperscale workloads with fastest time-to-results, while achieving maximum performance per watt, per square foot, and per dollar.”
Liqid Showcases Composable Infrastructure for GPUs at GTC 2017
May 19, 2017 by
“The Liqid Composable Infrastructure (CI) Platform is the first solution to support GPUs as a dynamic, assignable, bare-metal resource. With the addition of graphics processing, the Liqid CI Platform delivers the industry’s most fully realized approach to composable infrastructure architecture. With this technology, disaggregated pools of compute, networking, data storage and graphics processing elements can be deployed on demand as bare-metal resources and instantly repurposed when infrastructure needs change.”
