HPE Slingshot - switch - 64 portar - Administrerad - rackmonterbar

HPE Slingshot - switch - 64 portar - Administrerad - rackmonterbar R4K41B
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Hewlett Packard EnterpriseTillverkareHewlett Packard EnterpriseArtnr
R4K41B
  • HPE Slingshot switches provide 25.6 Tbps of bi-directional bandwidth with 64 ports each capable of 200 Gbps to deliver high bandwidth and low latency, overcoming traditional Ethernet approaches to buffering and error handling that create queueing latency and hinder low-latency RDMA applications.
  • The high-radix 64 port HPE Slingshot switches enable low-diameter topologies that reduce the quantity of HPC network equipment, cabling, and lower power and cooling costs, while scaling up to 250,000 endpoints with fewer than three switch-to-switch hops.
  • HPE Slingshot switches connect to the campus network using Ethernet, the standard for connectivity to data, without requiring gateway nodes. Very high scale connectivity can be achieved by aggregating multiple links from several HPE Slingshot switches to qualified edge routing switches.
  • The HPE Slingshot switch is offered as a direct liquid-cooled blade in the HPE Cray EX supercomputer, and a 1U top-of-rack form factor for HPE Apollo and ProLiant clusters, across a wide range of platforms with choice in CPU and GPU architecture.
Is your HPC networking solution able to meet your converged workload needs for today and tomorrow?

HPE Slingshot provides a modern, high-performance interconnect for HPC and AI clusters that delivers high-bandwidth and low-latency for HPC, ML, and analytics applications by bringing together the specialized requirements of HPC-optimized fabrics with the ubiquity of Ethernet. This delivers a converged infrastructure with high-performance on both HPC simulation codes and native IP applications, with efficient scalable access to data sources.

Building on Cray's specialized silicon, HPE Slingshot delivers consistent performance and low latency under load and at scale. This prepares you to efficiently service increasingly diverse users taking advantage of your HPC resources, and do so without overprovisioning bandwidth or deploying multiple systems to avoid congestion on your most demanding workloads.

 

 
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