NVIDIA Tesla K40t
About GPU
The NVIDIA Tesla K40t GPU is a powerful and efficient professional-grade graphics processing unit that is designed with high-performance computing in mind. With a base clock speed of 745MHz and a boost clock speed of 876MHz, this GPU is able to handle demanding workloads with ease.
One of the standout features of the Tesla K40t is its large 12GB of GDDR5 memory, allowing for fast and efficient data processing. Combined with a memory clock speed of 1502MHz and 2880 shading units, the Tesla K40t is capable of delivering exceptional performance for a wide range of compute-intensive applications.
In addition, the Tesla K40t boasts a 1536KB L2 cache and a TDP of 245W, making it both powerful and energy-efficient. With a theoretical performance of 5.046 TFLOPS, users can expect great performance and reliability for their professional workloads.
Whether you are working in fields such as scientific research, engineering, or content creation, the Tesla K40t offers the computational power and memory capacity to meet your needs. Its combination of high performance and efficient design make it a great choice for professionals who require a reliable GPU for their demanding applications.
Overall, the NVIDIA Tesla K40t GPU is a great option for professionals in need of a high-performance computing solution. Its impressive specs and reliable performance make it a top choice for those in need of powerful GPU processing.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
November 2013
Model Name
Tesla K40t
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
Compared to Other GPU
FP32 (float)
/ TFLOPS