Optional High-Advanced Graphic Cards
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 |
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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.
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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.
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Gaming
GPUs are crucial for rendering hyper-realistic graphics, supporting higher resolutions and faster frame rates, and enabling immersive experiences like virtual reality gaming.
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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 |
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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 |
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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 |