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Huawei Atlas AI Computing Platform is powered by Huawei Ascend series AI processors, enabling all-scenario AI infrastructure solutions for device-edge-cloud.
Representing the pinnacle of computing power, the Atlas 900 AI cluster consists of thousands of Ascend 910 AI processors. It integrates HCCS, PCIe 4.0, and 100G RoCE high-speed interfaces through the Huawei cluster communication library and job scheduling platform, fully unlocking the powerful performance of Ascend 910.
MindSpore is the AI computing framework. Fully developed by Huawei from the ground up, it implements on-demand collaboration across the cloud-edge-device. It provides unified APIs and end-to-end AI capabilities for model development, execution, and deployment in all scenarios.
This AI processor delivers 256 TFLOPS@FP16 and 512 TOPS@INT8 of compute performance with just 310 W of max power consumption. The massive boost in power efficiency is thanks to Huawei's own Da Vinci architecture.
This highly efficient, flexible, and programmable AI processor delivers 16 TOPS@INT8 and 8 TFLOPS@FP16 with just 8 W of power consumption. Ascend 310 integrates Huawei's own Da Vinci architecture with abundant computing units, extending AI chip applications.
Packaged in a form factor half the size of a credit card, the Atlas 200 AI’s power consumption is as low as 9.5 Watts while supporting 16-channel real-time HD video analytics. This high-performance, low-power product can be deployed on devices such as cameras, drones, and robots.
Based on the Ascend 310 and 910 AI processor, the Atlas 300 AI accelerator card supports multiple types of data precision and is suitable for AI training and inference scenarios. The Atlas 300 AI accelerator card uses a groundbreaking Da Vinci architecture to unlock industry-leading performance and energy efficiency. It can be widely used for data centers and the intelligent edge.
Helps AI application developers quickly get familiar with the development environment. The device provides external ports for developers to quickly and easily access and use the powerful processing capability of the Ascend 310 processor.
Designed for real-time data processing at the edge, a single device can provide 16 TOPS of INT8 processing capability with ultra-low power consumption. Integrated Wi-Fi and LTE wireless data interfaces support flexible network access and data transmission schemes.
Atlas 800 is best suited for real-time inference and training that demands high efficiency at low power consumption. It is perfect for video and image analytics and deeplLearning training . Configure it with up to eight Atlas 300 AI accelerator cards or AI accelerator module for any scenario and any inference requirement.
Provides end-to-end capabilities for data labeling, model generation, model training, and model inference services. Available in integrated delivery of software and hardware, it reduces the technical entry requirements for AI applications and enables quick development and rollout.
Huawei Atlas AI Computing Platform is powered by Huawei Ascend series AI processors, enabling all-scenario AI infrastructure solutions for device-edge-cloud.
Representing the pinnacle of computing power, the Atlas 900 AI cluster consists of thousands of Ascend 910 AI processors. It integrates HCCS, PCIe 4.0, and 100G RoCE high-speed interfaces through the Huawei cluster communication library and job scheduling platform, fully unlocking the powerful performance of Ascend 910.
MindSpore is the AI computing framework. Fully developed by Huawei from the ground up, it implements on-demand collaboration across the cloud-edge-device. It provides unified APIs and end-to-end AI capabilities for model development, execution, and deployment in all scenarios.
This AI processor delivers 256 TFLOPS@FP16 and 512 TOPS@INT8 of compute performance with just 310 W of max power consumption. The massive boost in power efficiency is thanks to Huawei's own Da Vinci architecture.
This highly efficient, flexible, and programmable AI processor delivers 16 TOPS@INT8 and 8 TFLOPS@FP16 with just 8 W of power consumption. Ascend 310 integrates Huawei's own Da Vinci architecture with abundant computing units, extending AI chip applications.
Packaged in a form factor half the size of a credit card, the Atlas 200 AI’s power consumption is as low as 9.5 Watts while supporting 16-channel real-time HD video analytics. This high-performance, low-power product can be deployed on devices such as cameras, drones, and robots.
Based on the Ascend 310 and 910 AI processor, the Atlas 300 AI accelerator card supports multiple types of data precision and is suitable for AI training and inference scenarios. The Atlas 300 AI accelerator card uses a groundbreaking Da Vinci architecture to unlock industry-leading performance and energy efficiency. It can be widely used for data centers and the intelligent edge.
Helps AI application developers quickly get familiar with the development environment. The device provides external ports for developers to quickly and easily access and use the powerful processing capability of the Ascend 310 processor.
Designed for real-time data processing at the edge, a single device can provide 16 TOPS of INT8 processing capability with ultra-low power consumption. Integrated Wi-Fi and LTE wireless data interfaces support flexible network access and data transmission schemes.
Atlas 800 is best suited for real-time inference and training that demands high efficiency at low power consumption. It is perfect for video and image analytics and deeplLearning training . Configure it with up to eight Atlas 300 AI accelerator cards or AI accelerator module for any scenario and any inference requirement.
Provides end-to-end capabilities for data labeling, model generation, model training, and model inference services. Available in integrated delivery of software and hardware, it reduces the technical entry requirements for AI applications and enables quick development and rollout.
Inspired by Huawei Ascend series AI processors, a single chip delivers 16 TeraOPS (TOPS) of INT8 and supports real-time analytics of 16-channel HD videos with a power consumption of less than 8 Watts.
The all-scenario AI infrastructure solution is designed and tuned for device-edge-cloud, fully meeting the AI application scenario requirements in the intelligent era.
Supports mainstream frameworks, and provides easy-to-use code porting and model conversion tools, allowing for flexible collaboration with industry ISVs to build an open industry ecosystem.
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