NVIDIA Tesla K20s
About GPU
The NVIDIA Tesla K20s GPU is a powerful and efficient professional platform for high-performance computing applications. With a memory size of 5GB and a memory type of GDDR5, this GPU is capable of handling large datasets and complex simulations with ease. The memory clock of 1300MHz ensures fast data access and processing, while the 2496 shading units allow for parallel processing of tasks, greatly improving overall performance.
One of the standout features of the Tesla K20s is its impressive theoretical performance of 2.87 TFLOPS, making it well-suited for demanding computational workloads such as scientific simulations, data analytics, and artificial intelligence training. Additionally, the 1280KB L2 cache helps to minimize latency and maximize throughput, further enhancing the GPU's overall efficiency.
Despite its high performance, the Tesla K20s is designed with power efficiency in mind, with a TDP of 225W. This allows for optimized energy usage and reduced operating costs, making it a compelling choice for organizations looking to maximize computing power while minimizing their environmental impact.
Overall, the NVIDIA Tesla K20s GPU is a top-tier solution for professional users who require high computational performance and memory capability. Its combination of high memory and core specs, fast memory clock, and impressive theoretical performance make it a standout choice for a wide range of high-performance computing applications.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
February 2013
Model Name
Tesla K20s
Generation
Tesla
Bus Interface
PCIe 2.0 x16
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.
29.90 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.
119.6 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.
956.8 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.
2.813
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
Benchmarks
FP32 (float)
Score
2.813
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS