NVIDIA GRID M6 8Q
About GPU
The NVIDIA GRID M6 8Q GPU is a professional-grade graphics processing unit with impressive specifications that make it a powerful tool for a wide range of applications. With a memory size of 8GB and GDDR5 memory type, it offers ample resources for complex and memory-intensive tasks. The memory clock speed of 1253MHz ensures efficient data transfer and processing, while the 1536 shading units contribute to high-quality rendering and visual output.
The L2 cache of 2MB and a TDP of 100W demonstrate a careful balance of performance and energy efficiency, making it suitable for use in a variety of environments. The theoretical performance of 2.218 TFLOPS indicates the GPU's capability to handle demanding workloads and applications with ease.
In practice, the NVIDIA GRID M6 8Q GPU delivers exceptional performance in tasks such as 3D rendering, video editing, scientific simulations, and virtual desktop infrastructure (VDI) deployments. Its reliability, stability, and compatibility with various software and hardware platforms make it an excellent choice for professionals working in fields such as architecture, engineering, design, and content creation.
Overall, the NVIDIA GRID M6 8Q GPU is a high-quality, reliable, and efficient graphics solution that offers exceptional performance and versatility for professional use. Its robust specifications and performance make it a valuable asset for professionals seeking a powerful and reliable graphics processing unit.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
August 2015
Model Name
GRID M6 8Q
Generation
GRID
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.
46.21 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.
69.31 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.
69.31 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.
2.174
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
2.174
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS