Skymind Intelligence Layer

Productionizing Machine Learning Workflows

What is SKIL?

The Skymind Intelligence Layer (SKIL) launches data science projects into production, quickly and easily. SKIL bridges the gap between the Python ecosystem and the JVM with a cross-team platform for Data Scientists, Data Engineers, and DevOps/IT.

Major Libraries Supported


Support for Python, Java, and Scala languages.

Data Scientists

SKIL enables Data Scientists to focus on experimentation.

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Solution Architects

SKIL is designed to be embeddable into production environments.

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Innovation Leaders

SKIL helps innovation teams accelerate time to value.

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End-To-End Workflow

Starting with the Eclipse Deeplearning4j open-source ecosystem, Skymind has expanded its offering into a full-scale deep learning platform, an on-prem AWS Sagemaker.


Configuring

Training

Collaborating

Versioning

Deploying

Serving

Management UI

Integrated with Hadoop and Spark, SKIL is designed to be used in business environments on distributed GPUs and CPUs on-prem, in the cloud, or hybrid.

Command Line Interface

Set up internal services and manage your entire data science applications from the command line.

          import skil_client
          uploads = client.upload("tensorflow_rnn.pb")
          new_model = DeployModel(name="recommender_rnn", scale=30, file_location=uploads[0].path)
          model = client.deploy_model(deployment_id, new_model)
          ndarray = INDArray(array=base64.b64encode(x_in))
          input = Prediction(id=1234, prediction=ndarray, needsPreProcessing=false)
          result = client.predict(input, "production", "recommender_rnn")
        

Compare

Feature Description Community Enterprise
Supported Libraries
Deeplearning4j Deep Learning for the JVM on Hadoop & Spark
Tensorflow Importing Pre-Trained Models from TensorFlow
Keras Importing Pre-Trained Models from Keras
DataVec Data ETL Normalization and Vectorization
ND4J High Performance Linear Algebra CPU and GPU Library on the JVM
RL4J Reinforcement Learning Algorithms
SKIL Platform
Model Server Integrated Model Hosting, Management, and Version Control LIMITED
Model Import Importing Pre-Trained Models from TensorFlow and Keras
Workspaces Notebook System for Model Construction and Collaboration LIMITED
Hardware Acceleration Managed CUDA for GPU and MKL for CPU
Integration Tooling Native Integration with CDH and HDP
Application
Somatic Sensor Vision and Control Integration for Robotics
Support
Online Community Access to Community Forum, Videos, and Documentation
Development Support General Feature Engineering and Model Tuning Advice
SLA Guaranteed Uptime and Response Times
Cost Free Contact Us