Today Red Hat announced it has deepened its alliance with NVIDIA to accelerate the enterprise adoption of AI, machine learning and data analytics workloads in production environments. To move thins along, Red Hat is launching an early access program for prospective customers. “High-performance technologies are moving at a brisk rate into enterprise data centers to accelerate product development and business operations – including financial services, ERP and sales analysis, fraud detection and cybersecurity, and machine learning-AI,” said Steve Conway, senior vice president of research, Hyperion Research. “The hybrid cloud solutions from Red Hat and NVIDIA are designed to make accelerated computing use easier for enterprises on-premise and in the cloud.”
Red Hat Teams with NVIDIA to Accelerate Machine Learning in the Cloud
Excelero Powers AI as a Service with Shared NVMe at InstaDeep
“InstaDeep offers a pioneering AI as a Service solution enabling organizations of any size to leverage the benefits of AI and Machine Learning without the time, costs and expertise required to run their own AI stacks. Excelero’s NVMesh, in turn, allows InstaDeep to access the low-latency, high-bandwidth performance that is essential for running customer AI and ML workloads efficiently – and gain the scalability vital to InstaDeep’s own rapid growth.”
AMD to Power Exascale Cray System at ORNL
Today AMD announced a new exascale-class supercomputer to be delivered to ORNL in 2021. Built by Cray, the “Frontier” system is expected to deliver more than 1.5 exaFLOPS of processing performance on AMD CPU and GPU processors to accelerate advanced research programs addressing the most complex compute problems. “The combination of a flexible compute infrastructure, scalable HPC and AI software, and the intelligent Slingshot system interconnect will enable Cray customers to undertake a new age of science, discovery and innovation at any scale.”
OSS rolls out GPUltima Rugged Rack-Scale AI Solution
Today One Stop Systems announced plans to demonstrate its award winning AI on the Fly system platforms at the Sea-Air-Space 2019 conference in Maryland. The company’s AI-system platforms accelerate autonomous vehicles, record high-speed surveillance data, detect real-time threats, deploy countermeasures and sift through mountains of radio transmission data to keep the warfighter at the forefront of AI technology.
Video: How to Scale from Workstation through Cloud to HPC in Cryo-EM Processing
Lance Wilson from Monash University gave this talk at the GPU Technology Conference. “We’ll review the last two years of development in single-particle cryo-electron microscopy processing, with a focus on accelerated software, and discuss benchmarks and best practices for common software packages in this domain. Our talk will include videos and images of atomic resolution molecules and viruses that demonstrate our success in high-resolution imaging.”
‘AI on the Fly’: Moving AI Compute and Storage to the Data Source
The impact of AI is just starting to be realized across a broad spectrum of industries. Tim Miller, Vice President Strategic Development at One Stop Systems (OSS), highlights a new approach — ‘AI on the Fly’ — where specialized high-performance accelerated computing resources for deep learning training move to the field near the data source. Moving AI computation to the data is another important step in realizing the full potential of AI.
Radio Free HPC reviews the ASC19 Student Cluster Competition
In this podcast, the Radio Free HPC looks at the recent ASC Student Cluster Competition in Dalien, China. Dan got to witness the finals last week, with 20 teams facing off in a race for HPC performance. “As always, the team, and the rest of humanity, is highly supportive of the student cluster tournaments that take place at SC, ISC, and this Asian one, in addition to many regional supporting events.”
Get Your Head in the Cloud: Lessons in GPU Computing with Schlumberger
Wyatt Gorman from Google and Abhishek Gupta from Schlumberger gave this talk at the GPU Technology Conference. “Demand for GPUs in High Performance Computing is only growing, and it is costly and difficult to keep pace in an entirely on-premise environment. We will hear from Schlumberger on why and how they are utilizing cloud-based GPU-enabled computing resources from Google Cloud to supply their users with the computing power they need, from exploration and modeling to visualization.”
Bill Dally from NVIDIA presents: Accelerating AI
Bill Dally from NVIDIA gave this talk at the Matroid Scaled Machine Learning Conference. “The world of computing is experiencing an incredible change with the introduction of deep learning and AI. Deep learning relies on GPU acceleration, both for training and inference, and NVIDIA delivers it everywhere you need it—to data centers, desktops, laptops, the cloud, and the world’s fastest supercomputers.”
Call for Presentations: MVAPICH User Group in August
The 7th annual MVAPICH User Group (MUG) meeting has issued its Call for Presentations. MUG will take place from August 19-21, 2019 in Columbus, Ohio. “MUG aims to bring together MVAPICH2 users, researchers, developers, and system administrators to share their experience and knowledge and learn from each other. The event includes keynote talks, invited tutorials, invited talks, contributed presentations, open MIC session, hands-on sessions with MVAPICH developers, etc.”
