NVIDIA Tesla C2090
About GPU
The NVIDIA Tesla C2090 GPU is a powerful and efficient professional platform designed to handle high-performance computing tasks. With a memory size of 6GB and memory type of GDDR5, this GPU is well-equipped to handle complex simulations and data processing. The 924MHz memory clock ensures fast and reliable performance, while the 512 shading units and 768KB L2 cache further contribute to the GPU's impressive capabilities.
With a TDP of 250W, the Tesla C2090 GPU is a high-power solution suitable for demanding workloads. Its theoretical performance of 1.332 TFLOPS demonstrates its ability to handle complex calculations and data-intensive tasks with ease. Whether it's used for scientific research, engineering simulations, or financial modeling, this GPU delivers the performance and reliability required for professional applications.
Thanks to its solid specifications and efficient design, the NVIDIA Tesla C2090 GPU is a valuable asset for professionals in need of high-performance computing capabilities. Its robust feature set, including a substantial memory size, high memory clock, and impressive shading units, make it a compelling choice for those seeking a GPU that can handle the most demanding computational workloads. Overall, the Tesla C2090 GPU is a standout solution for professionals in need of exceptional performance and reliability for their work.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
July 2011
Model Name
Tesla C2090
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.
64
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
924MHz
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.
177.4 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.
20.83 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.
41.66 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.
666.1 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.
1.305
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.
16
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.
512
L1 Cache
64 KB (per SM)
L2 Cache
768KB
TDP
250W
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
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
600W
Benchmarks
FP32 (float)
Score
1.305
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS