NVIDIA Tesla M10
About GPU
The NVIDIA Tesla M10 GPU is a high-performance professional-grade GPU designed for data center and enterprise environments. With a base clock speed of 1033MHz and a boost clock speed of 1306MHz, the M10 delivers impressive processing power for a wide range of workloads.
The GPU is equipped with 8GB of GDDR5 memory with a memory clock speed of 1300MHz, providing ample memory bandwidth for demanding applications. Its 640 shading units and 2MB of L2 cache further enhance its processing capabilities, making it well-suited for graphics-intensive tasks.
With a TDP of 225W, the Tesla M10 is a power-efficient solution that can handle complex workloads without consuming excessive energy. Its theoretical performance of 1.672 TFLOPS ensures that it can tackle demanding computational tasks with ease.
The Tesla M10 is an excellent choice for virtual desktop infrastructure (VDI) deployments, offering support for multiple users and high-definition graphics. Its impressive performance and efficient power usage make it a cost-effective solution for businesses looking to enhance their virtualization infrastructure.
Overall, the NVIDIA Tesla M10 GPU is a powerful and efficient solution for professional-grade computing and virtualization workloads. Its combination of high performance, ample memory, and power efficiency makes it a compelling choice for data center and enterprise environments. Whether used for VDI or other compute-intensive tasks, the Tesla M10 delivers the performance and reliability that businesses demand.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
May 2016
Model Name
Tesla M10
Generation
Tesla
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.
1.705
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
1.705
TFLOPS
Blender
Score
132
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender