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The NVIDIA® Tesla™
C1060 transforms a
workstation into a
high-performance
computer that
outperforms a small
cluster. This gives
technical professionals
a dedicated computing
resource at their
desk-side that is much
faster and more
energy-efficient than a
shared cluster in the
data center. The Tesla
C1060 is based on the
massively parallel,
many-core Tesla
processor, which is
coupled with the
standard CUDA C
programming environment
to simplify many-core
programming.
Parallel performance
from 240 cores capable of
concurrent execution of
thousands of computing threads
and scalable architecture
meets computational demands
of applications whose complexity
has outstripped the CPU’s
ability to solve them.
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.
TeraFLOPS without the data centers
Industry standard
PCIe form factor optimized
for individual
workstations or large scale deployments.
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