NVIDIA Tesla C2050 / C2070 GPU Computing Processor
Supercomputing at 1/10th the Cost
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 to 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.
Image of the NVIDIA Tesla C2050/C2070 GPU hardware.
Technical Specifications
| Specification | Details |
|---|---|
| FORM FACTOR | 9.75" PCIe x16 form factor |
| # OF TESLA GPUS | 1 |
| # OF CUDA CORES | 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 | Tesla C2050 = 238W TDP |
| SYSTEM INTERFACE | PCIe x16 Gen2 |
| THERMAL SOLUTION | Active Fansink |
| DISPLAY SUPPORT | Dual-Link DVI-I: 1 Maximum Display Resolution @ 60 Hz: 2560x1600 |
*Note: With ECC on, a portion of the dedicated memory is used for ECC bits, so the available user memory is reduced by 12.5%. (e.g. 3 GB total memory yields 2.625 GB of user available memory.)
Features and Benefits
- GPUs Powered by the Fermi-Generation CUDA Architecture: 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 critical requirements 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 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. Includes a configurable L1 cache per Streaming Multiprocessor block and a unified L2 cache for all processor cores.
- NVIDIA GigaThread™ Engine: Maximizes throughput via faster context switching (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 computing cores are processing other data. Maximizes computing efficiency for heavy data-transfer applications.
- CUDA Programming Environment with Broad Support of Programming Languages and APIs: Choose C, C++, OpenCL, DirectCompute, or Fortran to express application parallelism and leverage 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 Tesla processors. Enables Tesla systems to work with virtually any PCIe-compliant host system with an open PCIe x16 slot.
Illustration representing parallel computing applications in bioscience.
Graph displaying data analysis for financial applications.
Visualization of complex data processing for medical research.
Drivers and Downloads
- Tesla C2050/C2070 is supported under:
- Linux 32-bit and 64-bit
- Windows XP, Windows Vista, Windows 7 (32-bit and 64-bit)
- Vertical Solutions and Software page: www.nvidia.com/object/vertical_solutions.html
- Software for Tesla C2050/C2070:
- Download latest driver at www.nvidia.com/Download/index.aspx?lang=en-us
- Software development tools available at www.nvidia.com/object/tesla_software.html
Support
- Hardware Support: For RMA requests, replacements, and warranty issues regarding your NVIDIA based product, please contact the reseller that you purchased it from.
- Knowledgebase: Our knowledgebase is available online 24x7x365 and contains answers to the most common questions and issues: www.nvidia.custhelp.com/cgi-bin/nvidia.cfg/php/enduser/std_alp.php
- User Forums: Discuss Tesla products, talk about CUDA development, and share interesting issues, tips, and solutions with fellow NVIDIA Tesla users on the CUDA discussion forums: www.forums.nvidia.com
- Pre-Purchasing Support: Pre-purchasing support is available to assist you in deciding which Tesla unit to purchase for your application: www.nvidia.com/object/tesla_assistance.html
