NVIDIA GRID M10 8Q
About GPU
The NVIDIA GRID M10 8Q GPU is a professional-grade graphics processing unit designed to provide high-performance graphics for virtualized environments. With a base clock of 1033MHz and a boost clock of 1306MHz, this GPU is capable of delivering smooth and responsive graphics for a wide range of professional applications.
One of the standout features of the NVIDIA GRID M10 8Q GPU is its 8GB of GDDR5 memory, which allows for fast and efficient data processing. The memory clock of 1300MHz further enhances the overall performance of the GPU, making it well-suited for demanding workloads.
With 640 shading units and 2MB of L2 cache, the NVIDIA GRID M10 8Q GPU offers impressive processing power, allowing for complex graphics rendering and visualization tasks to be performed with ease. Additionally, the GPU has a TDP of 225W, ensuring that it can handle heavy workloads without compromising on performance or efficiency.
In terms of theoretical performance, the NVIDIA GRID M10 8Q GPU is capable of delivering 1.672 TFLOPS, making it a highly capable option for professionals in fields such as design, engineering, and content creation.
Overall, the NVIDIA GRID M10 8Q GPU is a powerful and reliable graphics solution for virtualized environments, offering impressive performance, efficient data processing, and support for a wide range of professional applications. Whether used for virtual desktop infrastructure, virtual workstations, or other virtualized environments, this GPU delivers the performance and reliability that professionals demand.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
May 2016
Model Name
GRID M10 8Q
Generation
GRID
Base Clock
1033MHz
Boost Clock
1306MHz
Bus Interface
PCIe 3.0 x16
Transistors
1,870 million
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
40
Foundry
TSMC
Process Size
28 nm
Architecture
Maxwell
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.
128bit
Memory Clock
1300MHz
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.
83.20 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.
20.90 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.
52.24 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.
52.24 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.
1.639
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.
640
L1 Cache
64 KB (per SMM)
L2 Cache
2MB
TDP
225W
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
OpenGL
4.6
DirectX
12 (11_0)
CUDA
5.0
Power Connectors
1x 8-pin
Shader Model
5.1
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
16
Suggested PSU
550W
Benchmarks
FP32 (float)
Score
1.639
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS