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NVIDIA Tesla C2075 companion processor

Tesla companion processors bring the power of high performance computing to the workstation

NVIDIA Tesla card

With 448 application-acceleration cores per board, Tesla processors offload parallel computations from the CPU to dramatically accelerate the floating point calculation performance. By adding a Tesla processor, engineers, designers, and content creation professionals accelerate some of the most complex tools exponentially faster than by adding a second CPU. It’s an unbeatable solution for getting more done in less time.

PDF: Download the spec sheet

Features and Benefits
Features Benefits
448 CUDA Cores Tesla C2075 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.
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.
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 Giga Thread Engine
Maximizes the throughput by faster context switching that is 10X faster than previous architecture, concurrent kernel execution, and improved thread block scheduling.
Dual Copy Engine enables true Asynchronous Data 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 GPUs innovative architecture. NVIDIA Parallel Nsight GPU debugging 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 products to work with virtually any PCIe-compliant host system with an open PCIe x16 slot.
Form Factor
9.75+ PCIe x16 form factor
CUDA Cores
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
Memory Speed
1.5 Ghz
Memory Interface
Memory Bandwidth
144 GB/sec
Power Consumption
225W TDP
System Interface
PCIe x16 Gen2
Thermal Solution
Active Fansink
Display Support
Dual-Link DVI-I: 1, Maximum Display Resolution: 1600 x 1200 pixels