Skymind Intelligence Layer

Powering the AI Stack for Enterprise

Overview

The Skymind Intelligence Layer (SKIL) imports pretrained models from most major deep learning frameworks via Keras, including TensorFlow and Caffe, bridging the gap between the Python ecosystem and the JVM with a cross-team platform for data scientists, data engineers, and DevOps. Integrated with Hadoop and Spark, DL4J is designed to be used in business environments on distributed GPUs and CPUs. DL4J libraries are completely open-source and maintained by Skymind and the developer community.

Components and Integrations

Our core responsibility is to be a deep learning operating system for on-premise and cloud deployments.

Core Components

Core components include our full suite of open-source libraries such as Deeplearning4J, ND4J, DataVec, JavaCPP and LibND4J as well as proprietary modules like the model server. This is everything you need to build a deep learning application.

Vendor Integrations

Vendor Integrations are separate proprietary pieces of software that we bundle with our enterprise distribution. This includes Hadoop Distributions, Connectors and Chip/BLAS integrations.

Reference Architecture

SKIL works natively with widely used big data tools such as Spark, Hadoop and Kafka.

Partners

Skymind has partnered with the largest software and hardware vendors in the enterprise IT ecosystem.

What Are You Trying to Achieve?

Discover how others have used Skymind to build better solutions.

OpenStack

Canonical and Skymind teamed up to help sysadmins operate large OpenStack instances.

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Anomaly Detection

Learn from new data automatically on massively parallel hardware.

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Get in touch with our dedicated team

Learn more about the record-breaking power of deep learning.

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