NVIDIA Tesla K20c
About GPU
The NVIDIA Tesla K20c GPU is an exceptional professional graphics processing unit that offers high-quality performance and a wide range of features that make it suitable for various computational tasks. With a memory size of 5GB and a memory type of GDDR5, this GPU is capable of handling large datasets and complex computations with ease. The memory clock of 1300MHz ensures quick data access, while the 2496 shading units and 1280KB L2 cache enable smooth and efficient rendering of graphics and processing of data.
One of the standout features of the Tesla K20c GPU is its impressive theoretical performance of 3.524 TFLOPS, making it a powerful tool for scientific and high-performance computing applications. Additionally, with a TDP of 225W, the GPU strikes a good balance between performance and power efficiency, making it suitable for both desktop and server environments.
Whether it's for deep learning, scientific simulations, or computational research, the Tesla K20c GPU offers the performance and reliability required for demanding workloads. It is highly compatible with a wide range of professional software and tools, making it a versatile choice for professionals in fields such as AI, data science, and engineering.
In conclusion, the NVIDIA Tesla K20c GPU delivers exceptional performance, reliability, and efficiency, making it a top choice for professionals seeking high-quality graphics processing capabilities for their work. Its impressive specs and features make it a valuable asset for various computational tasks, making it a highly recommended option for professionals in need of a powerful and versatile GPU.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
November 2012
Model Name
Tesla K20c
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.
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.
3.594
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
3.594
TFLOPS
OctaneBench
Score
56
Compared to Other GPU
FP32 (float)
/ TFLOPS
OctaneBench