NVIDIA Tesla K40s
About GPU
The NVIDIA Tesla K40s GPU is a professional-grade graphics processing unit that delivers exceptional performance and efficiency for a wide range of computational and data-intensive tasks. With a base clock speed of 745MHz and a boost clock speed of 876MHz, this GPU offers impressive processing power, making it well-suited for demanding applications such as scientific computing, deep learning, and high-performance computing.
One of the standout features of the Tesla K40s is its substantial 12GB of GDDR5 memory, which enables it to handle large datasets and complex calculations with ease. The high memory clock speed of 1502MHz further enhances its capabilities, ensuring smooth and efficient data processing. Additionally, with 2880 shading units and 1536KB of L2 cache, this GPU delivers exceptional parallel processing performance, making it an excellent choice for applications that require extensive parallel computing capabilities.
Despite its impressive performance, the Tesla K40s is also designed with energy efficiency in mind, with a TDP of 245W. This allows for powerful performance without excessive power consumption, making it a cost-effective choice for businesses and organizations looking to maximize their computational capabilities while minimizing energy costs.
With a theoretical performance of 5.046 TFLOPS, the Tesla K40s delivers the processing power needed for complex simulations, data analysis, and other compute-intensive tasks. Overall, the NVIDIA Tesla K40s GPU is a high-performance, energy-efficient solution that is ideal for professionals and organizations seeking top-tier computational capabilities.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
November 2013
Model Name
Tesla K40s
Generation
Tesla
Base Clock
745MHz
Boost Clock
876MHz
Bus Interface
PCIe 3.0 x16
Transistors
7,080 million
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
240
Foundry
TSMC
Process Size
28 nm
Architecture
Kepler
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
OpenGL
4.6
DirectX
12 (11_1)
CUDA
3.5
Shader Model
5.1
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
48
Suggested PSU
550W
Benchmarks
FP32 (float)
Score
5.147
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS