Tesla C2050 / C2070 GPU Computing Processor

The NVIDIA Tesla™ C2050 and C2070 Computing Processors fuel the transition to parallel computing and bring the performance of a small cluster to the desktop. Based on the next-generation CUDA architecture codenamed “Fermi”, the 20-series family of Tesla GPUs support many “must have” features for technical and enterprise computing including C++ support, ECC memory for uncompromised accuracy and scalability, and a 7X increase in double precision performance compared Tesla 10-series GPUs. The Tesla™ C2050 and C2070 GPUs are designed to redefine high performance computing and make supercomputing available to everyone.

Compared to the latest quad-core CPUs, Tesla C2050 and C2070 Computing Processors deliver equivalent supercomputing performance at 1/10th the cost and 1/20th the power consumption.

Features

ure Delivers cluster performance at 1/10th the cost and 1/20th the power of CPU-only systems based on the latest quad core CPUs.
448 CUDA Cores Delivers up to 515 Gigaflops of double-precision peak performance in each GPU, enabling a single workstation to deliver a Teraflop or more of performance. Single precision peak performance is over a Teraflop per GPU.
ECC Memory Meets a critical requirement for computing accuracy and reliability for workstations. Offers protection of data in memory to enhance data integrity and reliability for applications. Register files, L1/L2 caches, shared memory, and DRAM all are ECC protected.
Desktop Cluster Performance Solves large-scale problems faster than a small server cluster on a single workstation with multiple GPUs.
Up to 6GB of GDDR5 memory per GPU Maximizes performance and reduces data transfers by keeping larger data sets in local memory that is attached directly to the GPU.
NVIDIA Parallel DataCache™ Accelerates algorithms such as physics solvers, ray-tracing, and sparse matrix multiplication where data addresses are not known beforehand. This includes a configurable L1 cache per Streaming Multiprocessor block and a unified L2 cache for all of the processor cores.
NVIDIA GigaThread™ Engine Maximizes the throughput by faster context switching that is 10X faster than previous architecture, concurrent kernel execution, and improved thread block scheduling.
Asynchronous Transfer Turbocharges system performance by transferring data over the PCIe bus while the computing cores are crunching other data. Even applications with heavy data-transfer requirements, such as seismic processing, can maximize the computing efficiency by transferring data to local memory before it is needed.
CUDA programming environment with broad support of programming languages and APIs Choose C, C++, OpenCL, DirectCompute, or Fortran to express application parallelism and take advantage of the “Fermi” GPU’s innovative architecture. NVIDIA Parallel Nsight™ tool is available for Microsoft Visual Studio developers.
High Speed , PCIe Gen 2.0 Data Transfer Maximizes bandwidth between the host system and the Tesla processors. Enables Tesla systems to work with virtually any PCIe-compliant host system with an open PCIe x16 slot.
RMA REQUIREMENT
  1. Please fill out RMA Question List when you submit RMA request. You can also get the RMA Question List from Leadtek RMA representatives.
  2. Please submit "Log File" when you submit RMA request. Log File need to be generated on Linux system, if you do not use Linux system, please left blank and note down on the RMA request
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Tesla C2050 / C2070 GPU Computing Processor
Form Factor 9.75" PCIe x16 form factor
# of Tesla GPUs 1
# of CUDA Core 448
Frequency of CUDA Cores 1.15 GHz
Double Precision floating point performance (peak) 515 Gflops
Single Precision floating point performance (peak) 1.03 Tflops
Total Dedicated Memory* Tesla C2050 3GB GDDR5
Tesla C2070 6GB GDDR5
Memory Speed 1.5 GHz
Memory Interface 384-bit
Memory Bandwidth 144 GB/sec
Power Consumption 238W TDP
System Interface PCIe x16 Gen2
Thermal Solution Active Fansink
Display support Dual-Link DVI-I 1
Maximum Display Resolution @ 60Hz 2560x1600
Software Development Tools CUDA C/C++/Fortran, OpenCL, DirectCompute Toolkits. NVIDIA Parallel Nsight™ for Visual Studio