NVIDIA® Tesla™: Personal Supercomputer
Get your own supercomputer. Experience cluster level computing
performance-up to 250 times faster than standard PCs and workstations- right on
your desk. The NVIDIA® Tesla™ Personal Supercomputer is powered by up to 960
parallel processing cores and 16 GB of dedicated compute memory to solve large
datasets. Based on the revolutionary NVIDIA® CUDA™ parallel computing
architecture, the Tesla Personal Supercomputer puts nearly 4 teraflops of
computing muscle at your fingertips.
Up to 960 Core Parallel Supercomputer on Your Desk, 250 Times Faster than
a PC.
Up to 4 teraflops of compute capability for under $10,000.Computation
comparable to a large server cluster that fills a room.250 times faster than a
multi-CPU core PC or workstation using traditional
serial computing.GPU parallelism designed to execute tens of thousands of
concurrent
threads.Up to16 GB of dedicated compute memory meets the computing requirements
of
large datasets.Single- and double-precision floating point.Scalable
architecture meets computational demands of complex scientific
applications.Based on Revolutionary NVIDIA® CUDA® Parallel Computing
Architecture.
Unlocks the power of GPU parallel computing.Over 25,000 application developers
worldwide using CUDA.Over 100,000,000 CUDA-enabled processors
shipped.Accessible to Everyone
Supercomputing available to anyone, anytime.Iterate faster; discover more.
Computing whenever you need it. No need to ask permission to an
administrator.Buy it anywhere, put it anywhere.
Plugs into standard power strip.
Tesla Architecture
Massively-parallel many-core architecture 240 scalar processor cores per
GPUInteger, single-precision and double-precision floating point
operationsHardware Thread Execution Manager enables thousands of concurrent
threads per GPUParallel shared memory enables processor cores to collaborate on
shared information at local cache performanceUltra-fast GPU memory access with
102 GB/s peak bandwidth per GPUIEEE 754 single-precision and double-precision
floating pointEach Tesla C1060 GPU delivers 933 GFlops Single Precision and 78
GFlops Double Precision performance
Software Development Tools
C language compiler, debugger, profiler, and emulation mode for
debuggingStandard
numerical libraries for FFT (Fast Fourier Transform), BLAS (Basic
Linear Algebra Subroutines), and CuDPP (CUDA Data Parallel Primitives)
Product Details
3 or 4 Tesla C1060 Computing Processors with 4GB of dedicated memory per
GPU2.33 GHz+ Quad-core AMD Phenom or Opteron, -- OR -- Quad-core Intel Core 2
or XeonMinimum system memory: 12 GB for 3 Tesla C1060s and 16 GB for 4 Tesla
C1060s (at least 4GB per Tesla C1060) 12GB+ system memory (at least 4GB per
Tesla C1060)1200-1350 Watt Power supplyAcoustics < 45dbA
Supported Platforms
Microsoft® Windows® XP 64-bit and 32-bit (64-bit recommended)Linux®
64-bit and 32-bit (64-bit recommended)Red Hat Enterprise Linux 4 and
5SUSE 10.1, 10.2 and 10.3
Configurations of these Tesla "personal supercomputers" are available from
4lakh rupees.
More info: http://www.nvidia.co.in/page/personal_computing.html
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