SUNIX AIEH2000 VS NVIDIA A4000 AI visual computing acceleration performance comparison test(YOLOV5M)
Uplaod date: 2023-12-18 16:54:16
Time: 3:38
Description:
In the wave of technological advancement, AI visual recognition has been widely applied in various edge computing industries. Within these extensive computing frameworks, performance and energy efficiency have become critical considerations for customers. Today, I am honored to introduce SUNIX's AI acceleration card. This card not only significantly reduces computer energy consumption in high-speed AI visual recognition processing but also demonstrates outstanding performance.
SUNIX has launched the AI acceleration card AIEH2000, a PCIe interface AI acceleration card specifically developed for PCs, powered by the HAILO 8 AI chip. The HAILO 8 is a high-performance AI processor designed for edge computing, offering powerful neural network inference capabilities and extremely low power consumption. With up to 26 TOPS (trillions of operations per second) of computational power, the HAILO 8 excels in a variety of AI applications while its low-power design makes it an ideal choice for edge devices.
To clearly demonstrate the performance and energy efficiency of the SUNIX AI acceleration card, we compared it on the same test platform with the Nvidia RTX A4000 graphics acceleration card, which also features AI model inference capabilities. Using the same yolov5m model for image recognition tests, we compared the performance of the SUNIX AIEH2000 and the Nvidia A4000 to understand the differences between the two.
The test results clearly show the data from both cards: the SUNIX AIEH2000, displayed at the top of the screen, has an average processing speed of approximately 400 frames per second (FPS), meaning it can process up to 400 real-time images per second. This performance is driven by the superior computing power and efficient AI inference technology of the HAILO 8 chip. In contrast, the Nvidia A4000, shown at the bottom of the screen, can only process around 300 frames per second (FPS), or about 300 images per second.
The test results indicate that the SUNIX AIEH2000 AI acceleration card processes image recognition tasks at a speed 100 FPS faster than the Nvidia A4000, representing an approximate 1.3x increase in computing speed.
In terms of energy consumption, the SUNIX AIEH2000 also performs exceptionally well. During model inference operations, the SUNIX AIEH2000 consumes an average of only 10W, while the Nvidia A4000 consumes between 60W and 100W. This advantage is primarily attributed to the low-power architecture of the HAILO 8 AI chip, which achieves a perfect balance between high performance and energy efficiency. After testing and comparison, the SUNIX AIEH2000 achieves up to 27 FPS/W (frames per second per watt), compared to only 3 FPS/W for the Nvidia A4000.
Therefore, the SUNIX AI acceleration card not only excels in performance but also shows significant advantages in energy efficiency and cost. When deploying large-scale AI edge computing infrastructures, considering economic efficiency and environmental protection will highlight the differences between the two. Adopting the SUNIX AI acceleration card, powered by the HAILO 8 AI chip, to expand your PC business into the AI visual application market will be your best choice.
If you have any questions, please feel free to consult us. We will provide detailed explanations and services.
SUNIX AIEH2000 VS NVIDIA A4000 AI visual computing acceleration performance comparison test(YOLOV5M)
Uplaod date: 2023-12-18 16:54:16
Time: 3:38
Description:
In the wave of technological advancement, AI visual recognition has been widely applied in various edge computing industries. Within these extensive computing frameworks, performance and energy efficiency have become critical considerations for customers. Today, I am honored to introduce SUNIX's AI acceleration card. This card not only significantly reduces computer energy consumption in high-speed AI visual recognition processing but also demonstrates outstanding performance.
SUNIX has launched the AI acceleration card AIEH2000, a PCIe interface AI acceleration card specifically developed for PCs, powered by the HAILO 8 AI chip. The HAILO 8 is a high-performance AI processor designed for edge computing, offering powerful neural network inference capabilities and extremely low power consumption. With up to 26 TOPS (trillions of operations per second) of computational power, the HAILO 8 excels in a variety of AI applications while its low-power design makes it an ideal choice for edge devices.
To clearly demonstrate the performance and energy efficiency of the SUNIX AI acceleration card, we compared it on the same test platform with the Nvidia RTX A4000 graphics acceleration card, which also features AI model inference capabilities. Using the same yolov5m model for image recognition tests, we compared the performance of the SUNIX AIEH2000 and the Nvidia A4000 to understand the differences between the two.
The test results clearly show the data from both cards: the SUNIX AIEH2000, displayed at the top of the screen, has an average processing speed of approximately 400 frames per second (FPS), meaning it can process up to 400 real-time images per second. This performance is driven by the superior computing power and efficient AI inference technology of the HAILO 8 chip. In contrast, the Nvidia A4000, shown at the bottom of the screen, can only process around 300 frames per second (FPS), or about 300 images per second.
The test results indicate that the SUNIX AIEH2000 AI acceleration card processes image recognition tasks at a speed 100 FPS faster than the Nvidia A4000, representing an approximate 1.3x increase in computing speed.
In terms of energy consumption, the SUNIX AIEH2000 also performs exceptionally well. During model inference operations, the SUNIX AIEH2000 consumes an average of only 10W, while the Nvidia A4000 consumes between 60W and 100W. This advantage is primarily attributed to the low-power architecture of the HAILO 8 AI chip, which achieves a perfect balance between high performance and energy efficiency. After testing and comparison, the SUNIX AIEH2000 achieves up to 27 FPS/W (frames per second per watt), compared to only 3 FPS/W for the Nvidia A4000.
Therefore, the SUNIX AI acceleration card not only excels in performance but also shows significant advantages in energy efficiency and cost. When deploying large-scale AI edge computing infrastructures, considering economic efficiency and environmental protection will highlight the differences between the two. Adopting the SUNIX AI acceleration card, powered by the HAILO 8 AI chip, to expand your PC business into the AI visual application market will be your best choice.
If you have any questions, please feel free to consult us. We will provide detailed explanations and services.
SUNIX AIEH2000 VS NVIDIA A4000 AI visual computing acceleration performance comparison test(YOLOV5M)
Uplaod date: 2023-12-18 16:54:16
Time: 3:38
Description:
In the wave of technological advancement, AI visual recognition has been widely applied in various edge computing industries. Within these extensive computing frameworks, performance and energy efficiency have become critical considerations for customers. Today, I am honored to introduce SUNIX's AI acceleration card. This card not only significantly reduces computer energy consumption in high-speed AI visual recognition processing but also demonstrates outstanding performance.
SUNIX has launched the AI acceleration card AIEH2000, a PCIe interface AI acceleration card specifically developed for PCs, powered by the HAILO 8 AI chip. The HAILO 8 is a high-performance AI processor designed for edge computing, offering powerful neural network inference capabilities and extremely low power consumption. With up to 26 TOPS (trillions of operations per second) of computational power, the HAILO 8 excels in a variety of AI applications while its low-power design makes it an ideal choice for edge devices.
To clearly demonstrate the performance and energy efficiency of the SUNIX AI acceleration card, we compared it on the same test platform with the Nvidia RTX A4000 graphics acceleration card, which also features AI model inference capabilities. Using the same yolov5m model for image recognition tests, we compared the performance of the SUNIX AIEH2000 and the Nvidia A4000 to understand the differences between the two.
The test results clearly show the data from both cards: the SUNIX AIEH2000, displayed at the top of the screen, has an average processing speed of approximately 400 frames per second (FPS), meaning it can process up to 400 real-time images per second. This performance is driven by the superior computing power and efficient AI inference technology of the HAILO 8 chip. In contrast, the Nvidia A4000, shown at the bottom of the screen, can only process around 300 frames per second (FPS), or about 300 images per second.
The test results indicate that the SUNIX AIEH2000 AI acceleration card processes image recognition tasks at a speed 100 FPS faster than the Nvidia A4000, representing an approximate 1.3x increase in computing speed.
In terms of energy consumption, the SUNIX AIEH2000 also performs exceptionally well. During model inference operations, the SUNIX AIEH2000 consumes an average of only 10W, while the Nvidia A4000 consumes between 60W and 100W. This advantage is primarily attributed to the low-power architecture of the HAILO 8 AI chip, which achieves a perfect balance between high performance and energy efficiency. After testing and comparison, the SUNIX AIEH2000 achieves up to 27 FPS/W (frames per second per watt), compared to only 3 FPS/W for the Nvidia A4000.
Therefore, the SUNIX AI acceleration card not only excels in performance but also shows significant advantages in energy efficiency and cost. When deploying large-scale AI edge computing infrastructures, considering economic efficiency and environmental protection will highlight the differences between the two. Adopting the SUNIX AI acceleration card, powered by the HAILO 8 AI chip, to expand your PC business into the AI visual application market will be your best choice.
If you have any questions, please feel free to consult us. We will provide detailed explanations and services.
SUNIX AIEH2000 VS NVIDIA A4000 AI visual computing acceleration performance comparison test(YOLOV5M)
Uplaod date: 2023-12-18 16:54:16
Time: 3:38
Description:
In the wave of technological advancement, AI visual recognition has been widely applied in various edge computing industries. Within these extensive computing frameworks, performance and energy efficiency have become critical considerations for customers. Today, I am honored to introduce SUNIX's AI acceleration card. This card not only significantly reduces computer energy consumption in high-speed AI visual recognition processing but also demonstrates outstanding performance.
SUNIX has launched the AI acceleration card AIEH2000, a PCIe interface AI acceleration card specifically developed for PCs, powered by the HAILO 8 AI chip. The HAILO 8 is a high-performance AI processor designed for edge computing, offering powerful neural network inference capabilities and extremely low power consumption. With up to 26 TOPS (trillions of operations per second) of computational power, the HAILO 8 excels in a variety of AI applications while its low-power design makes it an ideal choice for edge devices.
To clearly demonstrate the performance and energy efficiency of the SUNIX AI acceleration card, we compared it on the same test platform with the Nvidia RTX A4000 graphics acceleration card, which also features AI model inference capabilities. Using the same yolov5m model for image recognition tests, we compared the performance of the SUNIX AIEH2000 and the Nvidia A4000 to understand the differences between the two.
The test results clearly show the data from both cards: the SUNIX AIEH2000, displayed at the top of the screen, has an average processing speed of approximately 400 frames per second (FPS), meaning it can process up to 400 real-time images per second. This performance is driven by the superior computing power and efficient AI inference technology of the HAILO 8 chip. In contrast, the Nvidia A4000, shown at the bottom of the screen, can only process around 300 frames per second (FPS), or about 300 images per second.
The test results indicate that the SUNIX AIEH2000 AI acceleration card processes image recognition tasks at a speed 100 FPS faster than the Nvidia A4000, representing an approximate 1.3x increase in computing speed.
In terms of energy consumption, the SUNIX AIEH2000 also performs exceptionally well. During model inference operations, the SUNIX AIEH2000 consumes an average of only 10W, while the Nvidia A4000 consumes between 60W and 100W. This advantage is primarily attributed to the low-power architecture of the HAILO 8 AI chip, which achieves a perfect balance between high performance and energy efficiency. After testing and comparison, the SUNIX AIEH2000 achieves up to 27 FPS/W (frames per second per watt), compared to only 3 FPS/W for the Nvidia A4000.
Therefore, the SUNIX AI acceleration card not only excels in performance but also shows significant advantages in energy efficiency and cost. When deploying large-scale AI edge computing infrastructures, considering economic efficiency and environmental protection will highlight the differences between the two. Adopting the SUNIX AI acceleration card, powered by the HAILO 8 AI chip, to expand your PC business into the AI visual application market will be your best choice.
If you have any questions, please feel free to consult us. We will provide detailed explanations and services.
