NVIDIA Tesla K20X
About GPU
The NVIDIA Tesla K20X GPU is a professional-grade graphics processing unit designed for high-performance computing and data analysis tasks. With a memory size of 6GB and a memory type of GDDR5, this GPU is optimized for handling large datasets and complex calculations. The 1300MHz memory clock ensures fast data access and processing, while the 2688 shading units and 1536KB L2 cache allow for efficient parallel processing of tasks.
One of the standout features of the Tesla K20X is its impressive theoretical performance of 3.935 TFLOPS, making it suitable for demanding computational workloads such as artificial intelligence, scientific simulations, and machine learning. The 235W TDP (thermal design power) indicates that this GPU is capable of delivering high performance without sacrificing energy efficiency.
In real-world applications, the Tesla K20X delivers exceptional performance, enabling researchers, scientists, and data analysts to accelerate their workloads and achieve faster results. Its reliability and stability make it a valuable asset for businesses and organizations that require robust computing power for their operations.
Overall, the NVIDIA Tesla K20X GPU is a powerful and reliable solution for professional computing tasks. Its high memory capacity, efficient processing capabilities, and impressive theoretical performance make it a top choice for industries and research institutions that demand high-performance computing resources.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
November 2012
Model Name
Tesla K20X
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.
3.856
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
3.856
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS