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Easy
Programming with
C Language and Performance
Libraries (CUDA)
:
NVIDIA CUDA™
(Common Unified
Device Architecture)
Technology, only
C language environment
for GPU development,
unlocks the power
of Tesla Many-core
computing products.
CUDA provides the
developers with
a suite of tools
(C-compiler, debugger,
performance profiler,
optimized libraries).
NVIDIA Tesla also
enjoys the largest
ISV development
community for GPU
computing applications.
High
Performance Computing:
With the massively
parallel architecture
of the GPU, scientists
and engineers can
get a quantum jump
in performance and
continue to advance
the pace of their
work, guiding us
to faster discovery
in drug research,
weather modeling,
oil and gas exploration,
computational finance,
and more.
Energy
Efficiency:
Higher performance
and higher density
for solving complex
problems with fewer
resources without
new demands on the
electrical and thermal
capabilities. This
gives green-conscious
organizations an
excellent choice
to achieve their
desired level of
computation without
increasing energy
costs.
Breakthrough
Computing Density
Industry standard
form factor optimized
for large scale
server deployments.
Four Tesla GPU computing
processors in a
high density 1U
chassis offer the
highest performance
for parallel applications.
Performance optimized
and power optimized
products cover the
range of IT server
room requirements.
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