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Product Info
- Main
- What is GPU Computing?
- Why Choose Tesla
- Tesla Software Features
- Tesla Workstation Solutions
- Tesla Data Center Solutions
- Tesla RS Solutions
- Tesla BIO Workbench
- CUDA-Accelerated Applications
- CUDA Training and Consulting Services
- CUDA on ARM Development Kit
- Product Literature
- Compatible Platforms
- Tesla Case Studies
- Articles
- Where to Buy
- Contact Us
Additional Info
- Software Development Tools
Programming CUDA-enabled GPUs
- Industry Software Solutions
- GPU Cloud Computing Service Providers
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CUDA / Tesla Supercomputing Newsletter
Subscribe to the CUDA / Tesla Supercomputing Newsletter to receive regular updates about NVIDIA’s general purpose parallel computing architecture – how to leverage the GPU to solve many complex computational problems in a fraction of the time required on a CPU. -
Webinars
Learn more about GPU computing and CUDA-enabled applications through these webinars
Relevant Links
- NVIDIA CUDA
- Video: Desktop 'supercomputing'
- Video: Tesla Personal Supercomputer
- Request Resource CD
If you are new to GPU computing or would like to add to your knowledge of NVIDIA CUDA programming and Tesla hardware then this resource CD is for you.
Tesla Workstation Solutions
NVIDIA® Tesla™ 20-series GPU computing processors turn standard PCs and workstations into personal supercomputers -- delivering cluster level performance right at your desk. Based on the NVIDIA CUDA™ GPU architecture codenamed "Fermi", Tesla 20-series GPUs feature more than 500 gigaflops of double precision performance, 1 teraflop of single precision performance, ECC memory error protection, and L1 and L2 caches. Tesla 20-series GPGPU processors for workstations deliver cluster level performance right at your desk.
SELECTING THE RIGHT TESLA GPU FOR YOUR WORKSTATION
| Key Features | Applications | Where to Buy | |
| TESLA C2075 | |||
 Product brief
Download (227 KB PDF) |
High performance, large memory Fermi-based GPGPU
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Buy from System Builders |
| TESLA C2070 | |||
|
Product brief
Download (227 KB PDF) |
High performance, large memory Fermi-based GPGPU
|
|
Buy from System Builders |
| TESLA C2050 | |||
Product brief
Download (227 KB PDF) |
High performance Fermi-based GPGPU
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|
Buy from System Builders |
Tesla 20-series GPUs are available in workstations from these system builders.
SOFTWARE AND DRIVERS
NVIDIA recommends getting drivers for C-class products from system OEMs. Please visit the NVIDIA Driver Downloads page for the latest Tesla C-class drivers.
Tesla C-class GPU products are supported under:
- Windows XP, Windows Vista, Windows 7 (32-bit and 64-bit)
- Linux 32-bit and 64-bit
- Fedora 12
- RHEL 5.4 Desktop
- Ubuntu 9.10 Desktop
- RHEL 4.8 Desktop (64-bit only)
- RHEL 6
- OpenSUSE 11.2
- SLED 11
Click here to learn more about drivers and software features for Tesla products.
Click here to learn more about C, C++, Fortran, and OpenCL software development tools for Tesla GPUs.
PRODUCT SPECIFICATIONS
| Tesla C2075 | Tesla C2070 | Tesla C2050 | |
| Peak double precision floating point performance | 515 Gigaflops | 515 Gigaflops | 515 Gigaflops |
| Peak single precision floating point performance | 1030 Gigaflops | 1030 Gigaflops | 1030 Gigaflops |
| CUDA cores | 448 | 448 | 448 |
| Memory size (GDDR5) | 6 GigaBytes | 6 GigaBytes | 3 GigaBytes |
| Memory bandwidth *(ECC off) | 144 GBytes/sec | 144 GBytes/sec | 144 GBytes/sec |
| Display support | Dual-link DVI-I Max display resolution 1600x1200 |
Dual-link DVI-I Max display resolution @ 60 Hz: 2560x1600 |
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* Note: With ECC on, 12.5% of the GPU memory is used for ECC bits. For example, 3 GB total memory yields 2.625 GB of user available memory with ECC on.
LEGACY PRODUCTS
Tesla 10-series products:- Tesla C1060 GPU computing processor (Product Brief)
- Tesla C870 GPU computing processor (Board Specification Document)
- Tesla D870 deskside GPU computing system (Board Specification Document)