NVIDIA Tesla C2075
About GPU
The NVIDIA Tesla C2075 GPU is a powerful and efficient professional-grade graphics processing unit. With 6GB of GDDR5 memory and a memory clock speed of 783MHz, this GPU is well-suited for high-performance computing tasks such as data analysis, scientific simulations, and machine learning.
One of the standout features of the Tesla C2075 is its 448 shading units, which allow for complex and realistic graphics rendering. Additionally, the GPU's 768KB L2 cache helps to improve memory access and overall performance.
In terms of power consumption, the Tesla C2075 has a TDP of 247W. While this may be considered high for a consumer-grade GPU, it is in line with other professional-grade GPUs and is a reasonable trade-off for the high level of performance and capabilities this GPU offers.
With a theoretical performance of 1.028 TFLOPS, the Tesla C2075 is able to handle demanding computational workloads with ease. This makes it a valuable asset for professionals and researchers who require efficient and reliable computing power.
Overall, the NVIDIA Tesla C2075 GPU is a top-performing and feature-rich option for professional use. Its high memory capacity, impressive shading units, and efficient design make it a solid choice for those in need of a high-performance computing solution. While its power consumption may be a concern for some, the Tesla C2075's capabilities and performance more than make up for it.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
July 2011
Model Name
Tesla C2075
Generation
Tesla
Bus Interface
PCIe 2.0 x16
Transistors
3,000 million
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
56
Foundry
TSMC
Process Size
40 nm
Architecture
Fermi 2.0
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
783MHz
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.
150.3 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.
1.007
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
247W
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
OpenGL
4.6
DirectX
12 (11_0)
CUDA
2.0
Power Connectors
1x 6-pin + 1x 8-pin
Shader Model
5.1
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
48
Suggested PSU
550W
Benchmarks
FP32 (float)
Score
1.007
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS