Приложение хранения ИИ

EonStor GSi storage family is an AI storage appliance designed for enterprises that demand integrated system and combines compute (GPU and CPU), storage (SAN and NAS), network and cloud in an all-in-one box. Essentially, GSi is the GS storage with integrated GPUs and Docker platform with GUI that can easily implement machine learning (ML) and deep learning (DL) applications. It also supports popular frameworks such as TensorFlow, Caffe and more.

 

EonStor GSi 3000

EonStor GSi 3000 - AI/Machine Learning Storage Appliance for SMB.

EonStor GSi 5000

EonStor GSi 5000 - AI/Machine and Deep Learning Storage Appliance.
   

Deploy AI with GSi

GSi has two series: GSi 3000 and GSi 5000.
GSi 3000 is a cost-effective inference solution best suited for AI-enhanced IoT and edge computing. GSi 5000 is a high performance solution fitting for ML/DL model training.

Implement AI Solution the Easier Way

GSi incorporates Compute (GPU and CPU), storage (SAN and NAS), network, and Cloud in an all-in-one box. With a built-in AI environment called Docker, enterprise can get into AI right away, easy implementation without complicated hardware and software setups.

Support Major AI Frameworks

GSi supports popular frameworks such Caffe, Caffe2, CNTK, MXNet, TensorFlow, and Theano, allowing organizations to implement ML/DL applications such as facial recognition, intelligent video analytics, financial modeling, medical analysis, and others.

Manage AI Applications with User Friendly GUI

GSi comes with EonOne, the central management software, as well as GUI-based Docker interface to easily develop and deploy applications. Furthermore, EonOne can manage multiple systems, monitoring GPU and capacity usage, and complete of all system-related configurations.

App Store on Docker

A Software Platform Allows User to Run and Manage Applications

The App Store features templates for various Docker container images—artificial intelligence (AI), Internet of things (IoT), video surveillance, and much more. A template specifies a Docker container image along with preset parameters of the execution environment. By using a template, you can quickly deploy and run a Docker container with little fuss.



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