Today TYAN launched their latest GPU server platforms that support the NVIDIA V100S Tensor Core and NVIDIA T4 GPUs for a wide variety of compute-intensive workloads including AI training, inference, and supercomputing applications. “An increase in the use of AI is infusing into data centers. More organizations plan to invest in AI infrastructure that supports the rapid business innovation,” said Danny Hsu, Vice President of MiTAC Computing Technology Corporation’s TYAN Business Unit. “TYAN’s GPU server platforms with NVIDIA V100S GPUs as the compute building block enables enterprise to power their AI infrastructure deployment and helps to solve the most computationally-intensive problems.”
Search Results for: V100
New Inspur AI Server Supports Eight NVIDIA V100 Tensor Core GPUs
March 20, 2019 by
Today Inspur announced that their new NF5488M5 high-density AI server supports eight NVIDIA V100 Tensor Core GPUs in a 4U form factor. “The rapid development of AI keeps increasing the requirements for computing performance and flexibility of AI infrastructure. The NF5488M5 help users shorten AI model development cycles, and accelerate AI technology innovation and application development.”
Video: Unified Memory on Summit (Power9 + V100)
November 4, 2018 by
Jeff Larkin from NVIDIA gave this talk at the Summit Application Readiness Workshop. The event had the primary objective of providing the detailed technical information and hands-on help required for select application teams to meet the scalability and performance metrics required for Early Science proposals. Technical representatives from the IBM/NVIDIA Center of Excellence will be delivering a few plenary presentations, but most of the time will be set aside for the extended application teams to carry out hands-on technical work on Summit.”
Fast.AI Achieves Record ImageNet performance with NVIDIA V100 Tensor Core GPUs
August 13, 2018 by
The NVIDIA blog points us to this story on how Fast.ai just completed a new deep learning benchmark milestone. Using NVIDIA V100 GPUs on AWS with PyTorch, the company now has the ability to train ImageNet to 93% accuracy in just 18 minutes. “DIU and fast.ai will be releasing software to allow anyone to easily train and monitor their own distributed models on AWS, using the best practices developed in this project,” said Jeremy Howard, a founding researcher at fast.ai. “We entered this competition because we wanted to show that you don’t have to have huge resources to be at the cutting edge of AI research, and we were quite successful in doing so.”
NVIDIA rolls out GV100 “Dual-Volta” GPU for Workstations
March 27, 2018 by
Today NVIDIA announced Quadro GV100 GPU. With innovative packaging, the Quadro GV100 comprises two Volta GPUs in the same chassis — linked with NVIDIA’s new NVlink 2 interconnect. “The new AI-dedicated Tensor Cores have dramatically increased the performance of our models and the speedier NVLink allows us to efficiently scale multi-GPU simulations.”
Jack Dongarra Presents: Overview of HPC and Energy Savings on NVIDIA’s V100
December 29, 2017 by
Jack Dongarra from the University of Tennessee gave this talk at SC17. “In this talk we will look at the current state of high performance computing and look to the future toward exascale. In addition, we will examine some issues that can help in reducing the power consumption for linear algebra computations.”
NVIDIA Tesla V100 GPUs Power New TYAN Server
October 10, 2017 by
Today TYAN showcased their latest GPU-optimized platforms that target the high performance computing and artificial intelligence sectors at the GPU Technology Conference in Munich. “TYAN’s new GPU computing platforms are designed to provide efficient parallel computing for the analytics of vast amounts of data. By incorporating NVIDIA’s latest Tesla V100 GPU accelerators, TYAN provides our customers with the power to accelerate both high performance and cognitive computing workloads” said Danny Hsu, Vice President of MiTAC Computing Technology Corporation’s TYAN Business Unit.
Supermicro steps up with Optimized Systems for NVIDIA Tesla V100 GPUs
September 29, 2017 by
Today Supermicro announced support for NVIDIA Tesla V100 PCI-E and V100 SXM2 GPUs on its industry leading portfolio of GPU server platforms. With our latest innovations incorporating the new NVIDIA V100 PCI-E and V100 SXM2 GPUs in performance-optimized 1U and 4U systems with next-generation NVLink, our customers can accelerate their applications and innovations to help solve the world’s most complex and challenging problems.”
Penguin Computing Launches NVIDIA Tesla V100-based Servers
September 28, 2017 by
Today Penguin Computing announced strategic support for the field of artificial intelligence through availability of its servers based on the highly-advanced NVIDIA Tesla V100 GPU accelerator, powered by the NVIDIA Volta GPU architecture. “Deep learning, machine learning and artificial intelligence are vital tools for addressing the world’s most complex challenges and improving many aspects of our lives,” said William Wu, Director of Product Management, Penguin Computing. “Our breadth of products covers configurations that accelerate various demanding workloads – maximizing performance, minimizing P2P latency of multiple GPUs and providing minimal power consumption through creative cooling solutions.”
At ISC 2024: New Top500 List – Aurora Joins Frontier in the Exascale HPC Club
May 13, 2024 by Leave a Comment
At ISC 2024, Hamburg — Aurora, the Intel-HPE Cray problem-child supercomputer, has officially received the blessing of the Top500 organization as having surpassed the exascale (a billion billion calculations/second) milestone ….
