NVIDIA Tesla M6
About GPU
The NVIDIA Tesla M6 GPU is an impressive and powerful professional platform GPU designed for high-performance computing and virtualization workloads. With a base clock speed of 930MHz and a boost clock speed of 1180MHz, this GPU offers fast and efficient processing for a wide range of applications.
The 8GB of GDDR5 memory and a memory clock speed of 1253MHz ensure that the Tesla M6 GPU can handle large and complex datasets with ease, while the 1536 shading units and 2MB of L2 cache contribute to its exceptional performance capabilities.
One of the standout features of the Tesla M6 is its low TDP of 100W, making it an energy-efficient option for data centers and other high-density computing environments. Despite its low power consumption, the Tesla M6 delivers a theoretical performance of 3.625 TFLOPS, making it a formidable solution for demanding computational tasks.
In addition to its impressive technical specifications, the Tesla M6 is also supported by NVIDIA's extensive software ecosystem, including CUDA, cuDNN, and TensorRT, which optimize its performance for deep learning, AI, and other data-intensive applications.
Overall, the NVIDIA Tesla M6 GPU is a top-of-the-line solution for professional computing workloads, offering exceptional performance, energy efficiency, and support for a wide range of software applications. Whether used for virtualization, deep learning, or scientific computing, the Tesla M6 is a reliable and powerful choice for demanding computing tasks.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
August 2015
Model Name
Tesla M6
Generation
Tesla
Base Clock
930MHz
Boost Clock
1180MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
8GB
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.
256bit
Memory Clock
1253MHz
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.
160.4 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.
75.52 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.
113.3 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.
113.3 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.
3.698
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.
1536
L1 Cache
48 KB (per SMM)
L2 Cache
2MB
TDP
100W
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
3.698
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS