Sign up for our newsletter and get the latest HPC news and analysis.
Send me information from insideHPC:


Dell EMC Accelerates Artificial Intelligence Adoption for Digital Transformation

Today Dell EMC announced new Ready Solutions for AI. With specialized designs for Machine Learning with Hadoop and Deep Learning with NVIDIA, the Dell EMC Ready Solutions simplify AI environments, deliver faster, deeper insights than the competition1, and leverage Dell EMC’s proven expertise to help organizations realize the full potential of AI. “What we’re announcing today allows customers at any scale to start seeing better business outcomes and positions them for AI’s increasingly important role in the future.”

Optimizing Performance with the Dell EMC AI & HPC Innovation Lab

In this video from the Dell EMC HPC Community meeting, Onur Celebioglu describes his work at the Dell EMC AI & HPC Innovation Lab. “Bringing together HPC operational excellence and expertise, it is staffed by a dedicated group of computer scientists, engineers and Ph.D. subject matter experts who actively partner and collaborate with customers and other members of the HPC community. The team gets early access to new technologies, integrates and tunes high‐performance compute clusters, benchmarks applications, develops best practices, and publishes white papers.”

SC18 Preview: Bryan Catanzaro on “Applying Deep Learning”

SC18 is starting their series of Invited Talk Previews this week with AI luminary Bryan Catanzaro. Now at NVIDIA, Catanzaro is one of the most respected (and entertaining) speakers in the field of Machine Learning. “I will discuss how we go about applying deep learning to our work at NVIDIA, solving problems in a variety of domains from graphics and vision to text and speech. I’ll discuss the properties of successful machine learning applications, the criteria that we use to choose projects, and things to watch out for while creating new deep learning applications. I’ll discuss the role of HPC in helping us conduct our research, and I’ll show some examples of projects that benefit from scale.”

How Red Hat Powers the #1 Summit Supercomputer

In this video from ISC 2018, Yan Fisher from Red Hat and Buddy Bland from ORNL discuss Summit, the world’s fastest supercomputer. Red Hat teamed with IBM, Mellanox, and NVIDIA to provide users with a new level of performance for HPC and AI workloads. ”
But the rapid innovation showcased by Summit must be consumable, and that’s where Red Hat Enterprise Linux comes in. Despite the scale, processing capability, and “intelligence” of Summit’s composition, end users interact with something they understand: Linux, in the form of the world’s leading enterprise Linux platform. Red Hat Enterprise Linux provides a common, stable basis that ties together all of this innovation.”

HPC AI Advisory Council Conference Returns to Perth Aug. 28-29

The HPC Advisory Council has posted the Agenda for their upcoming meeting in Perth, Australia. Hosted by the Pawsey Supercomputing Centre, the event takes place August 28-29. “The Conference highlights Western Australia’s relevance and key role in delivering scientific breakthroughs for the benefit of humanity through leading centres like Pawsey.”

vScaler unlocks the benefits of Virtualization for GPU Power Users

vScaler has rolled-out native Virtual GPU (vGPU), empowering customers with the ability to split a single physical GPU up in to a number of smaller virtual GPUs. This approach offers greater cost-efficiency for those that don’t require the full power of a dedicated GPU. “With support for containerized environments such as Docker and Kubernetes, and the recent addition of vGPU support, vScaler speeds-up and simplifies the large scale deployments of GPU-accelerated applications.”

Dell EMC Gains Momentum on HPC & AI at ISC 2018

In this video from ISC 2018, Thierry Pelligrino from Dell EMC describes how the company is moving forward with HPC and AI solutions for customers in science, engineering, and the Enterprise. “HPC is great practice. AI is the buzzword. But the two need to come together. You can’t really get value out of your data if you don’t know how to use the highest performing computing cycles. You also need to think about how you use the data in storage and how you make it move around with a lot of networking gear.”

Podcast: Bill Dally from NVIDIA on What’s Next for AI

“NVIDIA researchers are gearing up to present 19 accepted papers and posters, seven of them during speaking sessions, at the annual Computer Vision and Pattern Recognition conference next week in Salt Lake City, Utah. Joining us to discuss some of what’s being presented at CVPR, and to share his perspective on the world of deep learning and AI in general is one of the pillars of the computer science world, Bill Dally, chief scientist at NVIDIA.”

Cray Sets the Stage for Exascale at ISC 2018

In this video from ISC 2018, Cray CTO Steve Scott describes how the company is moving towards providing Exascale computing capabilities for scientists and engineers worldwide. “It takes many years and many generations of technology developments to be a successful supercomputing provider. With every Cray system, you get the benefit of decades of supercomputing experience. We offer a comprehensive portfolio of supercomputer, storage, data analytics and AI solutions for a range of budgets. All hardware and software is integrated, and every solution comes with the assurance of Cray support.”

How NVIDIA Powers Dell EMC Systems for HPC & AI

In this video from ISC 2018, Marc Hamilton from NVIDIA describes how the company is working with Dell EMC to accelerate AI and HPC workloads. “Dell EMC Deep Learning Ready Bundle customers include the new Dell EMC PowerEdge C4140 server, supporting latest generation NVIDIA Tesla V100 GPU accelerators with PCIe and NVLink high-speed interconnect technology.”