cray shasta architecture
Cray CTO Steve Scott announces Slingshot™, the company’s new high-speed, purpose-built supercomputing interconnect Forrest Norrod, Senior VP and GM from AMD, discusses AMD’s 15-year partnership with Cray Cray CEO Peter Ungaro talks AMD partnership and Shasta, the future of HPCCustomers and users said mixed workloads were their future. They needed systems that could run simulation, analytics, and AI workloads simultaneously —and at exascale speeds. Quality-of-service and novel congestion management features limit the impact to critical workloads from other applications, system services, I/O traffic or co-tenant workloads. Shasta continues this leadership into much larger compute capabilities, up to exascale and beyond, supporting all fields of extreme-scale science, innovation and discovery.May HPE provide you with personalized communications about HPE and select HPE-partner products, services, offers and events?For more information on how HPE manages, uses and protects your information please refer to If you have provided your mobile number to receive marketing communications, please note that roaming charges may apply. https://insidehpc.com/2019/09/video-the-cray-shasta-architecture Imagine having a suite of software solutions that allow you to conduct an entire AI workflow on one system. A breakthrough supercomputer designed to deliver productivity across the full range of today’s challenges and tomorrow’s demands – without compromise.
And with Shasta comes Slingshot, the scalable, high-speed, purpose-built supercomputing interconnect that ingests data efficiently from outside the system then moves it efficiently inside.It features Ethernet capability, advanced adaptive routing, first-of-a-kind congestion control, and sophisticated quality-of-service capabilities. Propelled by a vision of HPC-cloud and HPC-enterprise convergence, Cray’s Shasta architecture will underpin America’s first three exascale supercomputers, including the just announced 1.5-exaflops El Capitan system headed for DOE NNSA’s Lawrence Livermore National Laboratory in 2022.
With it, we’re introducing revolutionary computing capabilities that will power discovery and innovation across every industry and field of research for years to comeArtificial intelligence is changing the world. Shasta’s hardware and software were designed for your data-driven demands and the growth that comes along with it. In the meantime, HPC center and commercial customers who have to buy systems now will do so, and those who can wait for Shasta and who want to try out the new Cray architecture will wait it out. It eliminates the distinction between clusters and supercomputers, providing a rich software and system interconnect in different form factors. Cray Urika AI & Analytics suites give you a quick start with pre-integrated, open-source tools.Increasingly, high-performance computing systems today need to be able to handle massive converged modeling, simulation, AI and analytics workloads. Our supercomputing, storage and analytics products are designed to help you tackle the most challenging problems in science, engineering and business.Meet the company that has been leading the way in supercomputing for over 40 years.Our service teams, backed by Cray support systems, are highly skilled and experienced in providing world-class support for mission-critical systems.Cray is a global company headquartered in Seattle, Washington.Today’s scientific research, technology, and big data questions are bigger, more complex, and more urgent than ever.
Our Shasta compute architecture is our most significant technology advancement in decades. Shasta is an entirely new design, created from the ground up to address these needs. Steve Scott is SVP, Senior Fellow, & CTO at Hewlett Packard Enterprise. It allows for multiple processor and accelerator architectures and a choice of system interconnect technologies, including our new Cray, a Hewlett Packard Enterprise company, designed and developed interconnect we call Slingshot.Today’s scientific research, technology and big data questions are bigger, more complex and more urgent than ever.
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