Nvidia is expanding its popular GPU Technology Conference to eight cities worldwide. “We’re broadening the reach of GTC with a series of conferences in eight cities across four continents, bringing the latest industry trends to major technology centers around the globe. Beijing, Taipei, Amsterdam, Melbourne, Tokyo, Seoul, Washington, and Mumbai will all host GTCs. Each will showcase technology from NVIDIA and our partners across the fields of deep learning, autonomous driving and virtual reality. Several events in the series will also feature keynote presentations by NVIDIA CEO and co-founder Jen-Hsun Huang.”
In this special guest feature, Robert Roe from Scientific Computing World describes why Nvidia is in the driver’s seat for Deep Learning. “Nvidia CEO Jen-Hsun Huang’s theme for the opening keynote was based on “a new computing model.” Huang explained that Nvidia builds computing technologies for the most demanding computer users in the world and that the most demanding applications require GPU acceleration. ‘The computers you need aren’t run of the mill. You need supercharged computing, GPU accelerated computing’ said Huang.”
In this video from the 2016 GPU Technology Conference, Greg Schmidt from Hewlett Packard Enterprise describes the new Apollo 6500 server. “With up to eight high performance NVIDIA GPU cards designed for maximum transfer bandwidth, the HPE Apollo 6500 System is purpose-built for deep learning applications. Its high ratio of GPUs to CPUs, dense 4U form factor and efficient design enable organizations to run deep learning recommendation algorithms faster and more efficiently, significantly reducing model training time and accelerating the delivery of real-time results, all while controlling costs.”
In this video from the 2016 GPU Technology Conference, Rich Friedrich from Hewlett Packard Enterprise describes how the company makes it easier for Data Scientists to program GPUs. “In April, HPE announced a public, open-source version of the platform called the Cognitive Computing Toolkit. Instead of relying on the traditional CPUs that power most computers, the Toolkit runs on graphics processing units (GPUs), inexpensive chips designed for video game applications.”
In this podcast, the Radio Free HPC team recaps the GPU Technology Conference, which wrapped up last week in San Jose.
Since Rich is traveling around in some desert somewhere, Dan and Henry go it alone and discuss the new Pascal (P1000) GPU, NVIDIA’s new server, and what happened at the concurrent OpenPOWER conference.”
In this video from the 2016 GPU Technology Conference, Jason Pai from Supermicro describes the new 1028GQ-TRT SuperServer. With support for up to four Nvidia Tesla K80 GPUs, the 1U superserver offers extreme compute density in 1U of rack space. “From HPC to Deep Learning and Big Data Analytics, denser, more powerful GPU solutions have become a necessity in order to service the next generation of GPU-accelerated applications. At GTC, Supermicro demonstrated how these applications have progressed, and how its GPU solutions are influencing this evolution.”
In this video from the 2016 GPU Technology Conference, Jaan Mannik from One Stop Systems describes the GPUltima system. Delivering up to 1 Petaflop in a rack, the GPUltima is a single 19″ rack comprised of 8 OSS High Density Compute Accelerators (HDCA) each with 16 NIVIDA Dual GPUs (128 total), 16 dual-socket servers, an Infiniband Switch and an Ethernet Switch.”
“Supermicro’s new SuperServer and SuperBlade platforms optimized for next generation GPU technology offer the most flexible architecture for the future of extreme parallel computing,” said Charles Liang, President and CEO of Supermicro. “Our proprietary cooling architecture supports up to four GPUs in 1U, maximizing compute density, performance and reliability under peak thermal operating conditions. Supermicro’s innovation and revolutionary solutions deliver the greatest range of options for next generation supercomputers, enabling new breakthroughs in the latest deep learning and artificial intelligence applications.”
Today Penguin Computing announced Open Compute Project (OCP)-based systems that reinforce both its continued collaboration with NVIDIA and new options in Penguin Computing’s Magna family of OpenPOWER-based servers. “Customers benefit when we partner with exceptional organizations like NVIDIA, the OpenPOWER Foundation and Open Compute Foundation in developing our systems,” said Jussi Kukkonen, Director Product Management, Penguin Computing. “An essential part of our mission is to provide customers with form factor flexibility, choice of architecture and peak performance, which are all hallmarks of Penguin Computing.”
The FT76-B7922 is the first multi-purpose server platform that simultaneously supports scale-up (fat node) and scale-out (many-core CPU node). With 1:1 CPU to GPU ratio, TYAN’s FT76-B7922 provides a high price/performance and performance/watt for HPC community that both needs CPU and GPU intensive computing workloads” said Albert Mu, Vice President of MITAC Computing Technology Corporation’s TYAN Business Unit.