NVIDIA Tesla C2070
About GPU
The NVIDIA Tesla C2070 GPU is a powerful professional-grade graphics processing unit designed for high-performance computing tasks. With a generous 6GB of GDDR5 memory and a memory clock speed of 747MHz, this GPU is capable of handling large and complex data sets with ease. The 448 shading units and 768KB of L2 cache further contribute to its impressive processing capabilities, making it suitable for a wide range of scientific, engineering, and academic applications.
One of the key highlights of the Tesla C2070 is its theoretical performance, boasting an impressive 1.028 TFLOPS (trillion floating point operations per second). This level of computational power allows users to tackle demanding workloads and accelerate their data processing tasks significantly. Additionally, the GPU's 238W TDP (thermal design power) ensures that it can deliver consistent, reliable performance even under heavy loads.
The NVIDIA Tesla C2070 excels in applications that require parallel processing and high-speed data crunching, such as simulations, modeling, and scientific research. Its robust hardware specifications and optimized architecture make it a reliable choice for professionals who depend on accelerated computing to drive their work forward.
Overall, the Tesla C2070 GPU stands out as a solid option for users who require top-tier performance and reliability for complex computational tasks. Its combination of ample memory, high theoretical performance, and efficient power usage make it a compelling choice for those in need of a professional-grade GPU.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
July 2011
Model Name
Tesla C2070
Generation
Tesla
Bus Interface
PCIe 2.0 x16
Memory Specifications
Memory Size
6GB
Memory Type
GDDR5
Memory Bus
?
The memory bus width refers to the number of bits of data that the video memory can transfer within a single clock cycle. The larger the bus width, the greater the amount of data that can be transmitted instantaneously, making it one of the crucial parameters of video memory. The memory bandwidth is calculated as: Memory Bandwidth = Memory Frequency x Memory Bus Width / 8. Therefore, when the memory frequencies are similar, the memory bus width will determine the size of the memory bandwidth.
384bit
Memory Clock
747MHz
Bandwidth
?
Memory bandwidth refers to the data transfer rate between the graphics chip and the video memory. It is measured in bytes per second, and the formula to calculate it is: memory bandwidth = working frequency × memory bus width / 8 bits.
143.4 GB/s
Theoretical Performance
Pixel Rate
?
Pixel fill rate refers to the number of pixels a graphics processing unit (GPU) can render per second, measured in MPixels/s (million pixels per second) or GPixels/s (billion pixels per second). It is the most commonly used metric to evaluate the pixel processing performance of a graphics card.
16.07 GPixel/s
Texture Rate
?
Texture fill rate refers to the number of texture map elements (texels) that a GPU can map to pixels in a single second.
32.14 GTexel/s
FP64 (double)
?
An important metric for measuring GPU performance is floating-point computing capability. Double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy, while single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
513.9 GFLOPS
FP32 (float)
?
An important metric for measuring GPU performance is floating-point computing capability. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
1.049
TFLOPS
Miscellaneous
SM Count
?
Multiple Streaming Processors (SPs), along with other resources, form a Streaming Multiprocessor (SM), which is also referred to as a GPU's major core. These additional resources include components such as warp schedulers, registers, and shared memory. The SM can be considered the heart of the GPU, similar to a CPU core, with registers and shared memory being scarce resources within the SM.
14
Shading Units
?
The most fundamental processing unit is the Streaming Processor (SP), where specific instructions and tasks are executed. GPUs perform parallel computing, which means multiple SPs work simultaneously to process tasks.
448
L1 Cache
64 KB (per SM)
L2 Cache
768KB
TDP
238W
Vulkan Version
?
Vulkan is a cross-platform graphics and compute API by Khronos Group, offering high performance and low CPU overhead. It lets developers control the GPU directly, reduces rendering overhead, and supports multi-threading and multi-core processors.
N/A
OpenCL Version
1.1
Benchmarks
FP32 (float)
Score
1.049
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS