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Optional High-Advanced Graphic Cards

Winmate offers optional high-computing GPUs from Intel, AMD, and NVIDIA, as well as the Hailo AI Processor.

What is a GPU?


Graphics Processing Unit, or GPU, is a specialized hardware component designed for parallel processing tasks, particularly in graphics rendering. Initially developed to accelerate 3D graphics rendering, GPUs have evolved into versatile computing devices used across various fields, including gaming, multimedia, creative production, and scientific research.

In addition to their traditional applications, GPUs are increasingly utilized in AI and machine learning, where their parallel processing power significantly accelerates computational workloads, improving training and inference speeds.

Integrated and Discrete GPU (Graphics Processing Unit)

Integrated Graphics Processing Unit Discrete Graphics Processing Unit
Seamlessly embedded within the motherboard of a computer system Standalone chips mounted on dedicated circuit boards, often inserted into a computer's expansion slots.
Cannot be upgraded or replaced independently. Offer replaceable components, allowing for upgrades as newer and more powerful graphics cards become available.
Commonly found in regular laptops or desktop PCs. Preferred for resource-intensive applications requiring high graphical performance.
Offer a cost-effective solution for everyday computing tasks. Used in gaming, video editing, 3D rendering, and machine learning.
Provide modest graphical performance Essential for achieving optimal performance in demanding graphical tasks

Applications of GPUs (Graphics Processing Unit)

Graphics Processing Units (GPUs) have evolved beyond their traditional role in rendering graphics for gaming and multimedia applications. Today, GPUs find diverse applications across various industries, harnessing their parallel processing power to accelerate complex computational tasks.

  1. AI, Machine and Deep Learning

    GPUs offer extraordinary computational capability and parallel processing, making them ideal for accelerating workloads in AI and machine learning applications, such as image recognition, where vast amounts of data need to be processed efficiently.

  2. Gaming

    GPUs are crucial for rendering hyper-realistic graphics, supporting higher resolutions and faster frame rates, and enabling immersive experiences like virtual reality gaming.

  3. Video Editing and Content Creation

    The parallel processing capabilities of GPUs, combined with advancements in AI, significantly accelerate rendering times for video editing and graphics production, leading to quicker workflows and higher-quality outputs.


Winmate Offers Optional High-Computing GPUs and AI Processor


As the demand for high-computing solutions increases in response to the requirements of AI, machine learning, and automation, Winmate presents a various range of options, spanning from Edge AI Mobility to Edge AI Computing. Winmate offers a diverse selection of high-computing GPUs, including options from NVIDIA, Intel, and AMD.

Powered with Hailo-8 AI Processor

Winmate not only offers GPUs but also provides AI Processor. Winmate's Edge AI Computing Solutions, equipped with the Hailo-8 AI Processor, deliver exceptional performance and efficiency. These solutions enable real-time data processing and analysis at the edge of the network, facilitating swift decision-making and enhancing overall operational efficiency.

Winmate’s Edge AI Box PC integrated with the Hailo-8 AI processor represents the cutting edge of Edge AI Computing solutions. Combining the compact form factor of a Box PC with the powerful capabilities of the Hailo-8 AI processor, this Box PCs brings unprecedented efficiency and performance to edge computing applications across various industries.

The integration of Box PCs with AI Processor in the AIoT industry and industrial automation represents a significant technological advancement. These solutions enable real-time data processing at the edge of the network, transforming data handling across various applications. With AI capabilities directly within the Box PC, tasks that once required manual intervention or centralized processing can now be automated locally, leading to increased efficiency, reduced latency, and improved decision-making.

Accelerator Card

Hailo-8

Peak Performance(INT8)

26 TOPS

Interface

PCIe Gen3, 2-lanes (x2)

Form Factor

M.2 Key A+E

Thermal design power

6.93W

Storage Temperature

-40°C~85°C

Operating Temperature

-40°C~85°C

Support

TensorFlow
TensorFlow Lite
Keras
PyTorch
ONNX

Winmate Empowers AI Industry with NVIDIA GPU Solutions


Winmate's Edge AI Computing solutions, featuring a range of NVIDIA GPUs, represent a significant advancement in AI-assisted defect inspection and various deep learning tasks. With seamless compatibility with these high-performance GPUs, Winmate's computing systems offer unparalleled capabilities for enhancing visual experiences in image projection, while simultaneously optimizing performance for AI machine and deep learning applications.

By harnessing the power of NVIDIA GPUs, Winmate Edge AI Computing solutions not only elevate the efficiency and accuracy of defect inspection processes but also pave the way for innovative advancements in the Edge AI Computing industry, meeting the evolving demands of modern manufacturing and industrial sectors.


GPU

Hailo-8

Nvidia A2000

Nvidia A4000

Nvidia A5000

Nvidia A6000

RTX 4000 SFF Ada

G3D Passmark

- 13764 19395 23064 22883 20529

Architecture

- Ampere Ampere Ampere Ampere Ada Lovelace

Core

- Cuda: 3,328
Tensor: 104
RT:  26
Cuda: 6,144
Tensor: 192
RT:  48
Cuda: 8,192
Tensor: 256
RT:  64
Cuda:10,752
Tensor: 336
RT:  84
Cuda:6,144
Tensor: 192
RT:  48

FLOP Performance

26 TOPS(INT8) 8.0 TFLOPS 19.2 TFLOPS 27.8 TFLOPS 38.7 TFLOPS 19.2 TFLOPS

VRAM

- 6GB/12GB GDDR6 16GB GDDR6 24GB GDDR6 48GB GDDR6 20GB GDDR6

Support

TensorFlow
TensorFlow Lite
Keras
PyTorch
ONNX
CUDA
DirectCompute
OpenCL™
DirectX 12.07
Shader Model 5.17
OpenGL 4.68
Vulkan 1.2
CUDA 11.6
DirectCompute
OpenCL 3.0
DirectX 12 Ultimate
Shader Model 6.6
OpenGL 4.6
Vulkan 1.3
CUDA
DirectCompute
OpenCL™
DirectX 12.07
Shader Model 5.17
OpenGL 4.68
Vulkan 1.2
CUDA
DirectCompute
OpenCL™
DirectX 12.07
ShaderModel 5.17
OpenGL 4.68
Vulkan 1.18
CUDA 11.6
OpenCL 3.0
DirectCompute
DirectX 12
Shader Model 6.6
OpenGL 4.6
Vulkan 1.3