NVIDIA Tesla M40
About GPU
The NVIDIA Tesla M40 GPU is a professional-grade graphics processing unit that offers exceptional performance and memory capacity. With a base clock speed of 948MHz and a boost clock speed of 1112MHz, this GPU is capable of handling demanding workloads with ease. The 12GB of GDDR5 memory and a memory clock speed of 1502MHz provide ample resources for handling large datasets and complex calculations.
The Tesla M40 is equipped with 3072 shading units, 3MB of L2 cache, and a thermal design power (TDP) of 250W, making it a powerful and efficient solution for professional use. With a theoretical performance of 6.832 TFLOPS, this GPU is well-suited for deep learning, scientific simulations, and other high-performance computing tasks.
One of the key advantages of the Tesla M40 is its ability to handle parallel processing tasks efficiently. This makes it an ideal choice for researchers, data scientists, and other professionals who require fast and accurate computations.
Overall, the NVIDIA Tesla M40 GPU is a top-of-the-line solution for professionals who require a high-performance graphics processing unit. Its impressive memory capacity, processing power, and efficient design make it a valuable asset for a wide range of applications. Whether you are working on machine learning algorithms, scientific simulations, or other compute-intensive tasks, the Tesla M40 is up to the challenge.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
November 2015
Model Name
Tesla M40
Generation
Tesla Maxwell
Base Clock
948MHz
Boost Clock
1112MHz
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.
106.8 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.
213.5 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.
213.5 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.
6.969
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.
3072
L1 Cache
48 KB (per SMM)
L2 Cache
3MB
TDP
250W
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.
1.3
OpenCL Version
3.0
Benchmarks
FP32 (float)
Score
6.969
TFLOPS
Blender
Score
108
OctaneBench
Score
121
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OctaneBench