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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
- Tesla Case Studies
- Product Literature
- Compatible Platforms
- Contact Us
- Where to Buy
Additional Info
- Software Development Tools
Programming CUDA-enabled GPUs
- GPU Cloud Computing Service Providers
- Industry Software Solutions
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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 - as well as breaking news on NVIDIA’s Tesla Computing Solutions, and how they scale to solve the world’s most important computing challenges.
Relevant Links
NVIDIA Tesla Personal Supercomputer
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 | ||
| TESLA C2075 | |||
 Product brief
Download (227 KB PDF) |
High performance, large memory Fermi-based GPGPU
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| TESLA C2070 | |||
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Product brief
Download (227 KB PDF) |
High performance, large memory Fermi-based GPGPU
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| TESLA C2050 | |||
Product brief
Download (227 KB PDF) |
High performance Fermi-based GPGPU
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Tesla 20-series GPUs are available in workstations from these system builders.
Buy Tesla Personal Supercomputer
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| Connoi Model : NTPSC-5400 | Connoi Model : NTSP-780i | Boston Venom T4000 |
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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)