NVIDIA Tesla K20Xm
About GPU
The NVIDIA Tesla K20Xm is a professional-grade GPU designed for high-performance computing tasks. With 6GB of GDDR5 memory and a memory clock of 1300MHz, this GPU can handle large datasets and complex calculations with ease. The 2688 shading units allow for parallel processing, making it well-suited for scientific, engineering, and financial applications.
The 3.935 TFLOPS theoretical performance of the Tesla K20Xm ensures that it can handle demanding computational workloads, such as simulations and data analytics. The 1536KB L2 cache enables fast data access, further improving overall performance.
One of the standout features of the Tesla K20Xm is its high power efficiency, with a TDP of 235W. This means that it can deliver exceptional performance while minimizing power consumption, making it a cost-effective choice for data centers and other high-performance computing environments.
The NVIDIA Tesla K20Xm is also known for its reliability and stability, with robust drivers and support for leading HPC and scientific computing applications.
In conclusion, the NVIDIA Tesla K20Xm is an excellent choice for professionals and organizations that require a GPU for intensive computational tasks. Its high performance, generous memory capacity, and power efficiency make it a valuable asset for a wide range of applications. Whether it's running simulations, analyzing large datasets, or performing complex calculations, the Tesla K20Xm delivers the performance and reliability needed for demanding workloads.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
November 2012
Model Name
Tesla K20Xm
Generation
Tesla
Bus Interface
PCIe 3.0 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
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.
249.6 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.
40.99 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.
164.0 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.
1312 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.
4.014
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.
2688
L1 Cache
16 KB (per SMX)
L2 Cache
1536KB
TDP
235W
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
Benchmarks
FP32 (float)
Score
4.014
TFLOPS
Blender
Score
376
OctaneBench
Score
62
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OctaneBench