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Customers
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ING Renault F1
Team
The ING Renault F1 Team was born in 2002 with a singular
purpose: winning the FIA Formula One World Championship
with a 100% Renault car. The team steadily grew in
competitiveness since 2002 thanks to a blend of performance,
reliability and technology reinforced by the engineering
expertise of the Renault Group. More
about ING Renault F1 Team.
Appro delivered a 38TF Xtreme-X™ Supercomputer
for the ING Renault F1 Team Computational Aerodynamics
Research Centre. The system provides a five-fold
increase in CFD computing capacity with the ability
to run full-car simulations in addition to the aerodynamic
testing of components such as the front and rear
wings, turning vanes, brake ducts, fuel tanks and
more.
Customer Quote
“Appro not only offered us a cost effective
solution but they also improved our required technical
specification through better reliability, greater
fault tolerance and redundancy as well as more flexibility
with regards to system scalability.”
Bob Bell,
Technical Director, ING Renault F1 Team
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The University of Tsukuba
The University of Tsukuba takes an active role in
promoting efforts to improve both advanced education
and academic research in Japan. the University supports
highly specialized professionals and students with
global perspective and advanced technical skills
in research fields. More
about University of Tsukuba.
Appro deployed 95TF, Quad Rail, Redundant Fat Tree
Appro Xtreme-X™ Supercomputer to the Center
for Computational Sciences at the University of
Tsukuba, one of Japan's leading academic research
institutions. Currently, the Appro Xtreme-X Supercomputer
is listed as the second-fastest supercomputer system
in Japan.
"The University selected Appro’s Xtreme-X
Supercomputer for its matchless Quad-Rail system
interconnect, which provides the lowest-latency
and the highest bandwidth performance to meet both
capacity and capability computing requirements for
research programs at Tsukuba’s Center for
Computational Sciences."
Prof. Boku
Tsukuba’s Center of computational Sciences
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Tri-Laboratory Linux Capacity Cluster
TLCC07 was a program for procuring Linux supercomputing
clusters as a joint effort for three National Nuclear
Security Administration (NNSA) weapons laboratories:
Lawrence Livermore National Laboratory, Los Alamos
National Laboratory and Sandia National Laboratories.
More
about TLCC07 Program.
Appro delivered the scalable supercomputing Linux
clusters that is now used principally to provide
needed computational support to NNSA’s nuclear
weapons programs, notably Stockpile Stewardship
– the program to ensure the safety, security
and reliability of the nation’s nuclear deterrent
without nuclear testing.
Customer Quote:
“The ability to provide a Scalable Architecture
in multiple scalable clusters to all three national
Lab sites at a lower TCO is of great value to NNSA’s
effort to apply high performance computing to time-urgent
national security challenges. In the past, high-end
Linux clusters were more expensive and difficult
to integrate and deploy. By defining a“building
block” approach to structure these multiple
cluster deployments using COTS parts, the tri-Labs
were able to significantly reduce TCO, simplify
the integration and deployment of multiple Linux
clusters at all three Laboratories and put highly
needed capacity clusters into production on an accelerated
timeline.”
"We’re seeing a performance boost of
anywhere from 1.3 to 1.8 times compared to the previous
system. The users are very excited about getting
this kind of capability.”
Mark Seager, Advanced Computing Technology lead
for LLNL |
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Appro is focusing its product design to address the HPC cluster
market and key customer requirements including system management,
high availability and price/performance for HPC applications.
Appro has shown the ability to win highly sought-after, large-scale
HPC deals positioning the company to benefit from strong market
growth that IDC projects through 2012.
Earl Joseph,
IDC Program Vice President, Technical Computing
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Customer Quote
“Appro not only offered us a cost effective solution but
they also improved our required technical specification through
better reliability, greater fault tolerance and redundancy as
well as more flexibility with regards to system scalability.”
Bob Bell,
Technical Director, ING Renault F1 Team
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