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The NVIDIAŽ 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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