NVIDIA Tesla K20m
About GPU
The NVIDIA Tesla K20m GPU is a professional-grade graphic processing unit designed for high-performance computing and data processing tasks. With a generous 5GB of GDDR5 memory and a memory clock speed of 1300MHz, the K20m is capable of handling large datasets and complex computations with ease.
One of the standout features of the Tesla K20m is its impressive 2496 shading units, which enable it to handle complex shading and rendering tasks with efficiency and speed. The 1280KB of L2 cache further enhances its processing capabilities, allowing for quick access to frequently used data and instructions.
With a TDP of 225W, the K20m is a power-hungry GPU, but its theoretical performance of 3.524 TFLOPS more than makes up for its power consumption. This level of performance makes it well-suited for demanding applications such as scientific simulations, deep learning, and artificial intelligence.
The Tesla K20m is well-regarded for its reliability and stability, making it a popular choice for professionals and organizations that require high-performance computing capabilities. Its robust architecture and efficient cooling system ensure that it can handle heavy workloads without compromising on performance.
Overall, the NVIDIA Tesla K20m GPU is a powerful and reliable solution for professionals and organizations in need of a high-performance computing platform. Its generous memory capacity, efficient shading units, and impressive theoretical performance make it a valuable asset for demanding computational tasks.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
January 2013
Model Name
Tesla K20m
Generation
Tesla
Bus Interface
PCIe 2.0 x16
Transistors
7,080 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.
208
Foundry
TSMC
Process Size
28 nm
Architecture
Kepler
Memory Specifications
Memory Size
5GB
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.
320bit
Memory Clock
1300MHz
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.
208.0 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.
36.71 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.
146.8 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.
1175 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.
3.454
TFLOPS
Miscellaneous
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.
2496
L1 Cache
16 KB (per SMX)
L2 Cache
1280KB
TDP
225W
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.
1.1
OpenCL Version
3.0
OpenGL
4.6
DirectX
12 (11_0)
CUDA
3.5
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.
40
Suggested PSU
550W
Benchmarks
FP32 (float)
Score
3.454
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS