NSML: Meet the MLaaS platform with a real-world case study

TL;DR

This paper introduces NSML, a comprehensive MLaaS platform designed to enhance collaboration, management, and deployment of machine learning models in enterprise environments, demonstrated through real-world case studies.

Contribution

The paper presents NSML, a novel MLaaS platform that addresses collaboration, management, and deployment challenges in machine learning workflows, validated by real-world experiments.

Findings

NSML enables easy deployment on clusters.

NSML facilitates collaboration through competitions.

NSML provides visualization tools for analysis.

Abstract

The boom of deep learning induced many industries and academies to introduce machine learning based approaches into their concern, competitively. However, existing machine learning frameworks are limited to sufficiently fulfill the collaboration and management for both data and models. We proposed NSML, a machine learning as a service (MLaaS) platform, to meet these demands. NSML helps machine learning work be easily launched on a NSML cluster and provides a collaborative environment which can afford development at enterprise scale. Finally, NSML users can deploy their own commercial services with NSML cluster. In addition, NSML furnishes convenient visualization tools which assist the users in analyzing their work. To verify the usefulness and accessibility of NSML, we performed some experiments with common examples. Furthermore, we examined the collaborative advantages of NSML through three competitions with real-world use cases.