NVIDIA Tesla K40st
About GPU
The NVIDIA Tesla K40st GPU is a powerhouse in the professional computing world. With a memory size of 12GB and a memory type of GDDR5, this GPU is designed to handle complex and demanding workloads with ease. The 1502MHz memory clock allows for rapid data processing and manipulation, making it ideal for tasks such as deep learning, scientific simulations, and data analytics.
The 2880 shading units ensure that the GPU can handle a high level of parallel processing, allowing for efficient and quick computations. Additionally, the 1536KB L2 cache helps to further speed up data access and manipulation, contributing to the overall performance of the GPU.
With a TDP of 245W, the Tesla K40st is a power-hungry GPU, but the theoretical performance of 3.312 TFLOPS more than justifies the power consumption. This level of performance makes the GPU well-suited for demanding tasks such as machine learning, computational physics, and geophysical exploration.
Overall, the NVIDIA Tesla K40st GPU is a top-of-the-line professional platform that delivers exceptional performance and reliability. Its high memory size, impressive shading units, and efficient memory type make it a valuable asset for any professional computing environment. Whether you are working on complex simulations, large-scale data analysis, or machine learning algorithms, the Tesla K40st is more than capable of handling the job.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
November 2013
Model Name
Tesla K40st
Generation
Tesla
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.
34.50 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.
138.0 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.
1104 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.
3.246
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
3.246
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS