Leading AI Solution Provider

As leading AI solution provider, Inspur has the industry’s most comprehensive AI portfolio. We strive to push forward the frontier of AI computing, accelerating the development of AI industry with customers across the globe.


Full-stack AI Capabilities

Full-stack AI Capabilities, featuring AI Computing Platform, AI Resource Suite, Algorithm Toolkit and Vertical AI Solutions.

Accelerate AI Innovation

Industry’s most comprehensive AI server portfolio, powering AI transformation from Cloud to the Edge

Adoption Across Industries

Fueling innovation across AI scenarios for industry users including Internet, finance, telecom, manufacturing, healthcare and more.

AIStation Inference Platform

An AI Model Management & Computing Resource Scheduling Software Specially Designed for Enterprise-level AI Inference Scenarios

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A Unique 8x NVIDIA Tesla V100 Server

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What we deliver

We have the industry’s most comprehensive AI portfolio, featuring AI Computing Platform, AI Resource Platform, Algorithm Toolkit Platform and E2E AI Solutions.

AI Computing Platform

Industry’s most comprehensive AI server portfolio, drive AI insight and innovation from cloud to the edge.

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Extreme Performance
Extreme Interconnection
Extreme Scalability

AI Resource Platform

Shorten developement cycle, improve resource utilization to ensure efficient AI development.

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Fine-grained GPU schedule
Integrate AI dev workflow with IDE
Efficient Datas et Management

Algorithm Toolkit Platform

Easy to deploy, one-stop algorithm toolkit to empower time-to-solution

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On-Premise & Cloud Deployment
Effortless AI Dev
GUI Supported

Inspur's AI Solutions Help ECOVAS' Smart Home


In order to improve the robot's object recognition ability, it is very important for ECOVAS to train the robot's deep learning algorithm model and improve its reasoning speed and recognition accuracy of the target object. However, deep learning model training for object recognition needs to deal with large-scale training data, and the requirements of calculation are very high. At present, GPU-based AI servers are widely used in deep learning model training and reasoning, but there are many problems such as uneassuming of computing resources and low utilization rate of AI server clusters. Therefore, in order to improve the training accuracy and speed of AI visual recognition model, ECOVAS need not only a powerful AI computing platform, but also a powerful computing resource scheduling capability.


Inspur's AI cluster and AIStation AI development platform for the development and application of ECOVAS' AI technology to provide a strong AI calculation production and efficient AI calculation scheduling capabilities, effectively improve AI computing production, computing resource utilization efficiency increased by more than 90%, object recognition and other AI training environment deployment from the past few days shortened to hours, while distributed training tasks to improve the execution speed of more than 70%, Greatly accelerate the development process of key technologies of ECOVAS' Intelligent Sweeping Robot AI and the iterative speed of smart new products, and seize the opportunity of intelligent human resources market.


The AI training cluster built by Inspur for ECOVAS integrates the AI computing production and calculation scheduling capabilities of the wave, provides a strong and efficient intelligent computing service for  AI technology research and development of ECOVASthrough hardware reconstruction and software definition, accelerates the iteration of ECOVAS' sweeping robot to identify indoor image objects, classification records, visual range measurement and barrier avoidance capabilities, promotes the landing of ECOVAS' innovative technology achievements, and promotes the continuous upgrading of China's Intellectual Manufacturing.

White Paper

Inspur Systems NF5468M5 Review 4U 8x GPU Server

In this review, we have covered many aspects of the Inspur Systems NF5468M5. We gave an in-depth hardware overview. We showed the system topology as well as the web management interface. We hit various aspects of performance including CPU, GPU, networking, storage, and power consumption.

Extreme Performance
Extreme Storage
Extreme Topology
Designed for Hyperscaler & Large CSPs
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