NVIDIA 900-21030-2201-000 Tesla 3GB GDDR5 Graphics Card

Name: NVIDIA 900-21030-2201-000 Tesla 3GB GDDR5 Graphics Card
SKU: 12390
Price: 595.00 USD
Availability: InStock

Manufacturer: NVIDIA

Availability: In stock

SKU: 12390

Manufacturer part number: 900-21030-2201-000

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NVIDIA Tesla C2050 (3GB) GPU Computing Card

Overview

NVIDIA Tesla C2050 Computing Processor The NVIDIA Tesla C2050 Computing Processor fuels the transition to parallel computing and bring the performance of a small cluster to the desktop. The Tesla C2050 GPU are designed to redefine high performance computing and make supercomputing available to everyone. Compared to the latest quad-core CPUs, Tesla C2050 Computing Processor delivers equivalent supercomputing performance at 1/10th the cost and 1/20th the power consumption. What It Is & Why You Need It: 448 CUDA Cores with single precision peak performance is over a Teraflop per GPU. ECC Memory offers protection of data in memory to enhance data integrity and reliability for applications. Desktop Cluster Performance solves large-scale problems faster than a small server cluster on a single workstation with multiple GPUs. Delivers cluster performance at 1/10th the cost and 1/20th the power of CPU-only systems based on the latest quad core CPUs

Feeding the HPC Industry’s Relentless Demand for Performance.
Keeps pace with the increasing demands of the toughest computing challenges including drug research, oil and gas exploration, and computational finance.

Many-core Architecture Delivers Optimum Scaling across HPC Applications.
Tesla many-core architecture meets the computational demands of applications whose complexity has outstripped the CPU’s ability to solve them.

High Efficiency Computing Platform for Energy-conscious Organizations.
Higher performance and density computing for solving complex problems with fewer resources and power.

NVIDIA CUDA™ Technology Unlocks the Power of Tesla Many-core Computing Products.
The only C language environment that unlocks the many-core processing power of GPU's to solve the world’s most computationally-intensive challenges.

Features


Features	Benefits
Massively-Parallel Many Core Architecture with 448 processor cores	Solve compute problems on your workstation that traditionally required a large cluster installation
Up to 6 GB High-Speed Memory	Enables larger datasets to be stored locally for each processor to maximize benefit from the ultra high GB/s memory transfer speeds and minimize data movement around the system. Now with Full ECC Support.
Widely accepted, easy to learn CUDA C programming environment	Easily express application parallelism to take advantage of the GPU’s many core architecture
Scale to multiple GPU's and harness the performance of thousands of processor cores	Solve large-scale problems by scaling to thousands of cores across multiple GPU's
IEEE 754 single & double precision floating point units	Achieve the highest floating point performance from a single chip, while meeting the precision requirements of your application. Peak 515GFlops DP.
Asynchronous transfer capability	Turbo charges system performance because data transfers can be executed concurrently with computation
NVIDIA® GigaThread™ Engine	Maximizes throughput with faster context switching, concurrent kernel execution, and improved thread block scheduling.
Shared Data Memory	Groups of processor cores can collaborate using low latency memory
High Speed, PCI-Express Gen 2.0 Data Transfer	Fast and high-bandwidth communication between CPU and GPU
Tesla GPU's available in flexible form factor	Tesla workstation products and 1U systems enable deployment in a wide range of environments

Specifications

Form Factor	9.75" x 4.376", Dual Slot
# of Tesla GPU's	1
# of Streaming Processor Cores	448
Floating Point Precision	IEEE 754 single & double
Total Dedicated Memory	3GB (C2050) & 6GB (C2070)
Max Power Consumption	190 W
System Interface	PCIe x16
Auxiliary Power Connectors	6-pin & 8-pin
Thermal Solution	Active fan sink
Software Development Tools	CUDA C/C++/Fortran, OpenCL, DirectCompute Toolkits

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