NVIDIA Tesla M4
About GPU
The NVIDIA Tesla M4 GPU is a professional-grade graphics processing unit designed for high-performance computing and data center applications. With a base clock speed of 872MHz and a boost clock speed of 1072MHz, the Tesla M4 is capable of delivering impressive compute power for a wide range of workloads.
Equipped with 4GB of GDDR5 memory running at a speed of 1375MHz, the Tesla M4 is well-suited for memory-intensive tasks and can handle large datasets with ease. The GPU also boasts 1024 shading units, a 1024KB L2 cache, and a thermal design power of 50W, making it an efficient and capable solution for data center deployment.
In terms of performance, the Tesla M4 is capable of delivering a theoretical performance of 2.195 TFLOPS, making it suitable for demanding computational workloads such as machine learning, scientific simulations, and high-performance computing.
Overall, the NVIDIA Tesla M4 GPU is a powerful and efficient solution for data center and professional computing applications. Its combination of high compute performance, ample memory capacity, and energy efficiency make it a compelling choice for organizations looking to accelerate their workloads and drive greater insights from their data. Whether used for deep learning, virtual desktop infrastructure, or other HPC workloads, the Tesla M4 is a reliable and high-performance GPU that offers excellent value for its capabilities.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
November 2015
Model Name
Tesla M4
Generation
Tesla
Base Clock
872MHz
Boost Clock
1072MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
4GB
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.
128bit
Memory Clock
1375MHz
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.
88.00 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.
34.30 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.
68.61 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.
68.61 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.
2.151
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.
1024
L1 Cache
48 KB (per SMM)
L2 Cache
1024KB
TDP
50W
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
2.151
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS