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Supermicro Ai Supercomputer Sports 20 NVIDIA Tesla T4 Accelerators in 4U

Supermicro’s new SuperServer 6049GP-TRT provides the superior performance required to accelerate the diverse applications of modern AI. “We see the combination of NVIDIA TensorRT and the new Turing architecture based T4 GPU Accelerator as the ideal combination for these new demanding and latency-sensitive workloads and are aggressively leveraging them in our GPU system product line.”

Survey Foretells Explosive Growth in Machine Learning Projects Over Next Two Years

Over at the Univa Blog, Gary Tyreman writes that the company sponsored an industry-wide survey to better understand what key challenges our HPC users are currently facing that are preventing them from moving their machine learning (ML) projects into production. “Our goal is to use this data to help guide our customers and recommend the right set of tools and migration options needed to accelerate value in machine learning.”

5 of 6 Gordon Bell Finalists use NVIDIA Volta Tensor Core GPUs

Over at the NVIDIA Blog, Geetika Gupta writes that the company’s powerful GPUs are being used by five of the six Gordon Bell Prize finalists. Just announced by ACM, these world-leading researchers did their work on the new NVIDIA GPU-accelerated Summit system at Oak Ridge National Laboratory and Sierra system at Lawrence Livermore National Laboratory.

Agenda Posted: HPC User Forum in Stuttgart

Hyperion Research has posted the speaker agenda for their upcoming HPC User Forum in Stuttgart. The two-day event takes place October 1-2, 2018 (midday to midday) at the High Performance Computing Center Stuttgart (HLRS). “The agenda will focus on HPC developments in Europe, including updates on quantum technologies, the European Processor Initiative and the Fortissimo Project for SMEs, along with perspectives from the Gauss Center for Supercomputing and the directors of Germany’s national supercomputing centers.”

Supermicro HGX-2 Cloud Server to Sport 2 Petaflops of Ai Horsepower

Today Supermicro announced that the company’s upcoming NVIDIA HGX-2 cloud server platform will be the world’s most powerful system for artificial intelligence and HPC capable of performing at 2 PetaFLOPS. “Our new HGX-2 system will enable efficient training of complex models. It combines sixteen Tesla V100 32GB SXM3 GPUs connected via NVLink and NVSwitch to work as a unified 2 PetaFlop accelerator with half a terabyte of aggregate GPU memory to deliver unmatched compute power.”

Agenda Posted: ARM Research Summit Sept. 17-19

The ARM Research Summit has posted their Speaker List and Meeting Agenda. Livestreaming from event in U.K. will start on Sept. 17, 2018. “At the Arm Research Summit, academics, researchers and industry experts meet to discuss the latest developments in computing research and practical computing challenges. This year, we invite you to explore issues around creating a truly connected world, including the social, cultural and economic impact of a reality where over one trillion devices are seamlessly linked.”

Video: HPC Market Update from Hyperion Research

In this video from the HPC User Forum in Detroit, Earl Joseph from Hyperion Research presents an HPC Market Update. The company helps IT professionals, business executives, and the investment community make fact-based decisions on technology purchases and business strategy. “Our industry experts are the former IDC high performance computing (HPC) analyst team, which remains intact and continues all of its global activities. The group is comprised of the world’s most respected HPC industry analysts who have worked together for more than 25 years.”

Video: NVIDIA Rolls out TensorRT Hyperscale Platform and New T4 GPU for Ai Datacenters

This morning at GTC Japan, NVIDIA CEO Jensen Huang announced a set new products centered around Ai and accelerated computing. Targeting Hyperscale datacenters looking to run Ai workloads, NVIDIA continues to innovate Machine Learning technologies at an unprecedented pace. “There is no question that deep learning-powered AI is being deployed around the world, and we’re seeing incredible growth here,” Huang told an audience of more than 4,000 press, partners, academics and technologists gathered on the latest stop in a GTC world tour.

Video: Computer Vision for Autonomous Vehicles

Xiaoming Liu from Michigan State University gave this talk at the HPC User Forum in Detroit. “At Michigan State University, researchers are involved in the work that will someday make self-driving vehicles not just a reality, but commonplace. Working as part of a project known as CANVAS – Connected and Autonomous Networked Vehicles for Active Safety – the scientists are focusing much of their energy on key areas, including recognition and tracking objects such as pedestrians or other vehicles; fusion of data captured by radars and cameras; localization, mapping and advanced artificial intelligence algorithms that allow an autonomous vehicle to maneuver in its environment; and computer software to control the vehicle.”

New Modular Lenovo ThinkSystem Accelerates Ai Performance

Over at the Lenovo Blog, the company has unveiled a new ThinkSystem based on a modular infrastructure targeted at Ai workloads. “By developing the ThinkSystem SR670 platform with integrated modularity, Lenovo has recognized that technologies around the CPU are evolving rapidly and driving massive performance gains for many types of workloads. System designs need to evolve to provide the capability and flexibility for customers to add more revolutionary technologies to the system faster. Customers shouldn’t be gated by a system that can’t change and grow with them as they build their intelligence platforms of the future.”