NVIDIA Tesla K40d
About GPU
The NVIDIA Tesla K40d GPU is a high-performing professional platform designed for data processing and scientific simulations. With a base clock of 745MHz and a boost clock of 876MHz, this GPU offers impressive speed and efficiency for complex computational tasks. Its 12GB of GDDR5 memory and a memory clock of 1502MHz provide ample memory capacity and quick data access, making it ideal for large-scale simulations and data analytics.
The Tesla K40d boasts 2880 shading units and 1536KB of L2 cache, further enhancing its ability to handle parallel processing and complex algorithms. With a TDP of 245W, this GPU delivers powerful performance while remaining energy-efficient.
One of the standout features of the NVIDIA Tesla K40d is its theoretical performance, boasting an impressive 5.046 TFLOPS. This level of performance makes it well-suited for a wide range of professional applications, including deep learning, scientific computing, and engineering simulations.
Overall, the NVIDIA Tesla K40d GPU is a top-of-the-line solution for professionals in need of high-performance computing power. Its combination of speed, memory capacity, and advanced features makes it a valuable tool for data-intensive tasks and demanding computational workloads. Whether used for scientific research, engineering simulations, or machine learning tasks, the Tesla K40d delivers the performance and reliability that professionals demand.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
November 2013
Model Name
Tesla K40d
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.
4.945
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
4.945
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS