AUSTIN,
Texas, Nov. 17, 2015
/PRNewswire/ -- Penguin Computing, a provider of high-performance
computing, enterprise data center and cloud solutions, announced
first customer shipments of its Tundra™ Extreme Scale (ES) server
based on Cavium, Inc.'s (NASDAQ: CAVM) 48 core ARMv8 based ThunderX
workload optimized processors. Tundra ES Valkre servers are now
available for public order, and a standard 19" rack mount version
will ship in early 2016.
With multiple server, storage, Software Defined Networking
(SDN) and software solutions for HPC, data center scale-out and
cloud computing, Penguin Computing products deliver cutting-edge
technology to its customers. The Penguin
Computing Tundra ES Valkre server is a two-socket architecture in a
2-RU high and three wide form-factor, delivering optimized
performance for workloads ranging from compute-intensive to cloud
optimized applications. With future support for up to 1TB of DDR4
memory, up to 3 SSDs and Mellanox IB support, these Penguin
Computing systems are targeted at bioinformatics, high performance
data analytics (HPDA), molecular dynamics, large scale graph
analytics and Ceph storage
solutions.
Performance will be driven by ThunderX ARMv8 SOCs
optimized for these workloads, with up to 48 high-performance
custom cores, very high memory bandwidth, large memory capacity and
flexible I/O subsystems. Adding to these high-performance features
are integrated accelerators for storage, networking and security,
offloading from the main ARMv8 CPU cores and enabling best-in-class
performance. The integration of Ethernet fabric interfaces and
storage controllers reduces both power and cost, driving
outstanding reductions in TCO.
"Penguin has invested in our new ThunderX-based Valkre
server families based on the competitive advantage it can bring to
our customers," said Jussi Kukkonen,
Director, Penguin Computing Product Management. "Customers have
already begun placing orders for these systems, and we are
deploying in the high-performance computing, financial services and
other market sectors."
"Customers have been testing 48-core Cavium ARMv8
ThunderX-based servers for months, and have reported significant
benefits in workload performance, reduced power consumption, and
overall TCO," said Steve Cumings,
Director, Market Development at Cavium. "With Valkre, Penguin has
created both OCP-compliant and standard rackmount server families,
and customers can purchase now for competitive advantage in their
HPC computing and storage environments."
Penguin Computing is accepting orders for Tundra ES Valkre
server systems; visit
http://www.penguincomputing.com/products/tundra-es/compute-and-storage-servers/valkre-1030c
for more
information.
SC15: Penguin and Cavium will
demonstrate Tundra and Valkre servers and ThunderX processors at
SC15: Penguin booth #321 and Cavium booth #481.
About Penguin Computing
Penguin Computing is one of the largest private suppliers
of enterprise and high performance computing solutions in
North America and has built and
operates the leading specialized public HPC cloud service Penguin
Computing on Demand (POD). Penguin Computing pioneers the design,
engineering, integration and delivering of solutions that are based
on open architectures and comprise non-proprietary components from
a variety of vendors. Penguin Computing is also one of a limited
number of authorized Open Compute Project (OCP) solution providers
leveraging this Facebook-led initiative to bring the most efficient
open data center solutions to a broader market, and has announced
the Tundra product line which applies the benefits of OCP to high
performance computing. Penguin Computing has systems installed with
more than 2,500 customers in 40 countries across eight major
vertical markets. Visit
www.penguincomputing.com to learn more about the
company, and follow @PenguinHPC on Twitter.
Penguin Computing, Scyld ClusterWare, Scyld Insight, Scyld
HCATM, Relion, Altus, Penguin Computing on Demand, POD, Tundra and
Arctica are trademarks or registered trademarks of Penguin
Computing, Inc.
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SOURCE Penguin Computing