Führender Anbieter für AI-
Lösungen

Als führender Anbieter von AI-Lösungen besitzt Inspur das umfassendste Portfolio der Branche. Wir sind bestrebt, die Grenzen des AI-Computing auszuweiten und deren Branchen-Entwicklung zu beschleunigen, mit Kunden auf der ganzen Welt.

Highlights

Voll-Stack AI- Möglichkeiten

Voll-Stack-AI-Möglichkeiten mit AI-Computing-Plattform, AI-Resource-Suite, Algoribthmus Toolkit und vertikalen AI-Lösungen

Beschleunigung von AI-Innovation

Das umfassendste AI-Server-Portfolio der Branche, das die AI-Transformation von der Cloud zum Edge ermöglicht

Branchenübergreifender Einsatz

Förderung der Innovationen in den KI Szenarien für Benutzer aus den Bereichen einschließlich Internet, Finanzen, Telekommunikation, Fertigung, Gesundheitswesen u.a.

Was wir liefern

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-Plattform

Das branchenweit umfassendste AI-Server-Portfolio, KI-Einblicke und Innovationen von der Cloud zum Edge vorantreiben

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Extreme Leistung
Extreme Verbindung
Extreme Skalierbarkeit

AI-Ressourcen-Plattform

Verkürzung des Entwicklungszyklus verkürzen und Verbesserung der Ressourcennutzung zur Gewährleistung einer effizienten KI-Entwicklung

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Feinkörniger GPU-Zeitplan
Intergration des KI-Entwicklungsworkflow in die IDE
Effizientes Daten-Management

Algorithmus-Toolkit-Plattform

Einfach eingesetzte Algorithm-Toolkit zur Beschleunigung der Time-to-Solution

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On-Premise- und Cloud-Einsatz
Mühelose KI-Entwicklung
GUI-Unterstützung

Inspur's AI Solutions Help ECOVAS' Smart Home

Challenge

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.

Solution

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.

Benefit

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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