Deep learning inference at the edge
(PresseBox) - The realization of deep learning inference (DL) at the edge requires a flexibly scalable solution that is power efficient and has low latency. At the edge mainly compact and passive cooled systems are used that make quick decisions without uploading data to the cloud.
The new Mustang-V100 AI accelerator card from ICP Deutschland supports developers by integrating AI training models successfully at the edge. Eight IntelThe reason for this is the multi-channel execution capability of the VPUs, which enables the simultaneous execution of calculations. This allows different applications such as object recognition or image and video classification to be executed simultaneously.
In addition, the compatibility of the OpenVINO? toolkit from Inteltu 16.04, CentosOS 7.4 and Windows 10 IoT and supports numerous architectures and topologies of artificial neural networks.
Specifications
? AI-Accelerator card with Intel
? Single Slot PCIe x4 interface
? Operating temperature: 5
? Low power consumption: <30W TDP
? Actively cooled
? Support of different ANN topologies
Applications
? Multi-channel excecution
? Acceleration of Deep Learning Inference
? Low power applications
Product Linkhttps://www.icp-deutschland.de/industrie-pc/cpu-boards-cpu-karten/computing-accelerator/mustang-ca-cards/mustang-v100-mx8-r10.html
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Datum: 12.03.2019 - 09:32 Uhr
Sprache: Deutsch
News-ID 1547603
Anzahl Zeichen: 2274
contact information:
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Town:
Reutlingen
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Kategorie:
Hazadous Materials Management
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"Deep learning inference at the edge
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