Revolutionary
NVIDIA® Tesla™ high performance computing (HPC) solutions arm
scientists, engineers and other technical professionals with the power to solve
previously unsolvable problems. A dedicated, high performance GPU computing
solution, Tesla brings supercomputing power to any workstation or server and to
standard, CPU-based server clusters.
Key elements include:
▪ Industry's first massively multi-threaded
architecture with a 128-processor computing core
▪ World's only C-language development
environment for the GPU
▪ A suite of developer tools (C-compiler,
debugger, performance profiler, optimized libraries)
▪ Largest ISV development community for GPU
Computing applications
▪ Seamlessly able to fit into existing HPC
environments
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Tesla C870 GPU Computing Processor
The GPU Computing Processor transforms a standard workstation into a personal
supercomputer.
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Tesla D870 Deskside GPU Computing
System
The Deskside GPU Computing System attaches to a workstation through a PCI
Express adapter to create an expandable HPC system that works in tandem with
multi-core CPUs.
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Tesla S870 GPU Computing System
The GPU Computing System seamlessly fits into enterprise server clusters and
scales to solve the most complex computing problems.
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Key Benefits
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Image Courtesy of Evolved Machines
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C for the GPU
The world's only C-language development environment for the GPU, the NVIDIA®
CUDA™ software development kit includes a standard C compiler, hardware
debugger tools, and a performance profiler for simplified application
development.
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Power to Solve Complex Problems
Scientists and researchers benefit from the power of the massively parallel,
computing architecture in Tesla solutions. This availability of
supercomputing will unlock the answers to previously unsolvable problems in
systems ranging from a workstation to server clusters.
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Image Courtesy of University of Illinois
at Urbana-Champaign
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Massively Parallel Performance
A massively multi-threaded processor mines large datasets to extract
information and reach answers fast. Key features available on Tesla GPUs
include the Thread Execution Manager to coordinate the concurrent execution
of thousands of parallel computing threads and the Parallel Data Cache to
enable those threads to share data easily.
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Developer Community
NVIDIA is the catalyst for the largest GPU computing developer community.
NVIDIA's interactive, on-line GPU developer community provides access to
forums, educational materials, and additional resources and tools.
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Compatible Solutions
As an industry-standard solution, Tesla easily fits into existing HPC
environments. Available products include a GPU for users to upgrade their
existing workstation, a deskside GPU computing system to add additional
performance alongside a workstation, and a 1U rackmount GPU computing system
for deployment within an enterprise data center.
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