Mellanox Scalable Hierarchical Aggregation and Reduction Protocol (SHARP) technology improves upon the performance of MPI operations by offloading collective operations from the CPU to the switch network, and by eliminating the need to send data multiple times between endpoints. This innovative approach decreases the amount of data traversing the network as aggregation nodes are reached, and dramatically reduces the MPI operations time. Implementing collective communication algorithms in the network also has additional benefits, such as freeing up valuable CPU resources for computation rather than using them to process communication.”
OSS Introduces World’s First PCIe Gen 4 Backplane at GTC
March 21, 2019 by
Today One Stop Systems introduced the world’s first PCIe Gen 4 backplane. “Delivering the high performance required by edge applications necessitates PCIe interconnectivity traveling on the fast data highway between high-speed processors, NVMe storage and compute accelerators using GPUs or application specific FPGAs,” continued Cooper. “‘AI on the Fly’ applications naturally demand this capability, like the government mobile shelter application we announced earlier this year.”
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.”
DDN Accelerates Ai, Analytics, and Deep Learning at GTC
March 19, 2019 by
This week at GTC, DDN is showcasing its high speed storage solutions, including its A³I architecture and new customer use cases in autonomous driving, life sciences, healthcare, retail, and financial services. DDN next generation of A³I reference architectures include NVIDIA’s DGX POD, DGX-2, and the DDN’s AI400 parallel storage appliance. “DDN’s commitment to developing highly parallel and scalable architectures matches well with the high performance requirements of compute and AI applications.”
Video: Jensen Huang Keynote and News Recap from GPU Technology Conference
March 19, 2019 by
In this video, NVIDIA CEO Jensen Huang delivers a sweeping opening keynote at San Jose State University, describing the company’s progress accelerating the sprawling datacenters that power the world’s most dynamic industries. “As a highlight, Mellanox CEO Eyal Waldman joined Huang on stage to describe how the two company’s technologies power more than half the world’s TOP500 fastest supercomputers.”
GPU Technology Conference to put HPC and Ai front and center
March 17, 2019 by
NVIDIA’s GPU Technology Conference (GTC) kicks off today in Silicon Valley. In this video, Ned Finkle from NVIDIA previews some of the public sector sessions this week at GTC. “GTC is the premier AI and deep learning conference, providing training, insights, and direct access to experts from leading research institutions and national labs. At GTC, you can explore hundreds of sessions on cutting edge AI research and applications across industries.”
Quobyte to showcase software defined storage for Machine Learning at GTC
March 11, 2019 by
Today Quobyte announced announced plans to showcase distributed storage technology at NVIDIA’s GPU Technology Conference in Silicon Valley next week. Quobyte software defined storage turns commodity servers into a reliable and highly automated data center file system. “As machine learning increasingly becomes an indispensable tool for organizations looking to make critical decisions derived from their cumulative data, there is an increasing need for unified storage infrastructure that enables faster results and the ability to fully leverage GPUs,” said Bjoern Kolbeck, Quobyte co-founder and CEO. “We are excited to have the opportunity to present to attendees of NVIDIA’s GTC how they can quickly and easily speed up their ML workloads by overcoming data challenges associated with scale, throughput and access to all data throughout the organization.”
NVIDIA CEO Jensen Huang to Keynote World’s Premier AI Conference
February 4, 2019 by
NVIDIA founder and CEO Jensen Huang will deliver the opening keynote address at the 10th annual GPU Technology Conference, being held March 17-21, in San Jose, Calif. “If you’re interested in AI, there’s no better place in the world to connect to a broad spectrum of developers and decision makers than GTC Silicon Valley,” said Greg Estes, vice president of developer programs at NVIDIA. “This event has grown tenfold in 10 years for a reason — it’s where experts from academia, Fortune 500 enterprises and the public sector share their latest work furthering AI and other advanced technologies.”
Improving Deep Learning scalability on HPE servers with NovuMind: GPU RDMA made easy
June 13, 2018 by
Bruno Monnet from HPE gave this talk at the NVIDIA GPU Technology Conference. “Deep Learning demands massive amounts of computational power. Those computation power usually involve heterogeneous computation resources, e.g., GPUs and InfiniBand as installed on HPE Apollo. NovuForce deep learning softwares within the docker image has been optimized for the latest technology like NVIDIA Pascal GPU and infiniband GPUDirect RDMA. This flexibility of the software, combined with the broad GPU servers in HPE portfolio, makes one of the most efficient and scalable solutions.”
Minsky at Murex: GPUs for Risk Management
June 8, 2018 by
Pierre Spatz from Murex gave this talk at the NVIDIA GPU Technology Conference. “Murex has been an early adopters of GPU for pricing and risk management of complex financial options. GPU adoption has generated performance boost of its software while reducing its usage cost. Each new generation of GPU has also shown the importance of the necessary reshaping of the architecture of the software using its GPU accelerated analytics. Minsky featuring far better GPU memory bandwidth and GPU-CPU interconnect rase the bar even further. Murex will show how it has handled this new challenge for its business.”
