NVIDIA Tesla K40c
About GPU
The NVIDIA Tesla K40c GPU is an impressive and powerful professional-grade graphics processing unit designed for high-performance computing tasks. With a base clock of 745MHz and a boost clock of 876MHz, this GPU offers exceptional speed and efficiency for processing complex data and computations. The 12GB of GDDR5 memory and a memory clock speed of 1502MHz ensure that the GPU can handle large datasets and memory-intensive applications with ease.
The Tesla K40c features 2880 shading units and 1536KB of L2 cache, providing the necessary resources for parallel processing and rapid data access. With a TDP of 245W, this GPU is designed to deliver high performance while also maintaining energy efficiency.
One of the standout features of the Tesla K40c is its theoretical performance, boasting an impressive 5.046 TFLOPS. This level of performance makes the GPU well-suited for demanding computational tasks such as scientific simulations, data analysis, and deep learning applications.
Overall, the NVIDIA Tesla K40c GPU is a powerhouse for professionals in fields such as science, engineering, and research, where intensive computing tasks are the norm. Its combination of high clock speeds, ample memory, and impressive theoretical performance make it a top choice for those in need of a reliable and capable GPU for their computational needs. Whether for simulations, data analysis, or other complex tasks, the Tesla K40c delivers the performance and reliability that professionals demand.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
October 2013
Model Name
Tesla K40c
Generation
Tesla
Base Clock
745MHz
Boost Clock
876MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
12GB
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
1502MHz
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.
288.4 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.
52.56 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.
210.2 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.
1.682 TFLOPS
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.
5.147
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.
2880
L1 Cache
16 KB (per SMX)
L2 Cache
1536KB
TDP
245W
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
5.147
TFLOPS
OpenCL
Score
17468
Compared to Other GPU
FP32 (float)
/ TFLOPS
OpenCL