NVIDIA Tesla M40 24 GB
About GPU
The NVIDIA Tesla M40 24 GB GPU is a professional-grade GPU designed for high-performance computing and machine learning applications. With a base clock speed of 948MHz and a boost clock speed of 1112MHz, this GPU is capable of delivering excellent computational power. The massive 24GB of GDDR5 memory combined with a memory clock speed of 1502MHz ensures that large datasets and complex calculations can be processed with ease.
With 3072 shading units and 3MB of L2 cache, the M40 is well-equipped to handle parallel processing and advanced calculations. The TDP of 250W may be on the higher end, but it is necessary to power the GPU's impressive theoretical performance of 6.832 TFLOPS. This makes the M40 suitable for a wide range of compute-intensive tasks, including deep learning, scientific simulations, and virtualized desktop graphics.
The M40 is optimized for data center deployment, offering reliability and stability for continuous operation in demanding environments. Its performance is further enhanced by NVIDIA's CUDA parallel computing platform and Tesla GPU architecture, ensuring efficient and scalable processing power.
In conclusion, the NVIDIA Tesla M40 24 GB GPU is a powerhouse for professional computing workloads, offering exceptional memory capacity, processing speed, and reliability. It is an ideal choice for organizations and professionals seeking to accelerate their high-performance computing and machine learning tasks.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
November 2015
Model Name
Tesla M40 24 GB
Generation
Tesla Maxwell
Base Clock
948MHz
Boost Clock
1112MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
24GB
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.
6.695
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
6.695
TFLOPS
Blender
Score
589
OctaneBench
Score
127
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OctaneBench