Product Details helps AI developers by giving resources to create and deploy ML models.

  • End-to-End: Helps to build production-ready ML models
  • Portable: Makes difficult engineering tasks simple with the help MLOps and container infrastructure
  • Optimized: Designs ML models to run on any AI stack to achieve maximum performance
  • Metacloud Utilization: Allows to access any cloud or industry-specific cloud in only one click
  • Visibility & Control: It maximizes utilization of servers for all models that run with a 360-degree view of your whole AI infrastructure by project, workload, container and job.
  • Dynamic Orchestration: Using native Kubernetes and meta scheduler it helps to mix and match cloud resources for different ML pipelines
  • Collaborate: Assists ML projects with interactive dynamic interfaces
  • Track: Saves models and meta-data using tracklog, including parameters, code version, artifacts production models
  • Analyze: You can compare and visualize the training and deployment metrics of your experiments in real-time.
  • Production Ready: You can deploy your models at high speed with autoscale and advanced build in monitoring capabilities.
  • Compliant: Track inference on top of models to maintain performance and update the models in real-time.
  • Delivery:  You can publish your models in just one click on Kubernetes clusters via web-service, RabbitMQ, Kafka stream etc.
  • Easy access: You can access all your team’s data in one central hub for any project or task
  • Support all data types: You can import data in any format and integrate it into any experiment or analysis session
  • Machine learning ready: Manage datasets with tagging, automated versioning and querying capabilities.
  • Churn Prediction
  • Image Classification
  • Custom AutoML
  • Text Analysis and Natural Language Understanding
  • Recommendation Engine
  • Reinforcement Learning
  • Data Management
  • Fraud Detection
  • Speech Recognition
  • Insurance
  • Manufacturing
  • Healthcare
  • Financial Services
  • Automotive
  • Gaming
  • Media
  • Pharmaceutical
  • Retail
  • Aerospace and Defense

Features of

  • Dataset Management
  • ML Model Deployment
  • Open Compute
  • AI Library
  • Machine Learning Tracking
  • Machine Learning Pipelines
  • Scalable Streaming Endpoints


    1. Free 0$
    • Infrastructure: 8CPUs and 16GB UNLIMITED USAGE
    • Support: Community Platform
    • SELF MANAGED: Fully managed service, BYO compute & storage or hybrid
    2. Pay as you go
    • Infrastructure: Can add additional resources as you need
    • Support:24/7 customer service
    3. Enterprise
    • Infrastructure: Leverage volume discounts
    • Support: 24/7 customer service
    • CUSTOMER ACCESS: Dedicated customer success engineer
    4. Self Hosted
    • CUSTOMER ACCESS: Dedicated customer success engineer
    • SELF MANAGED: BYO - Connect any resource on-prem or cloud

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Artificial IntelligenceArtificial Intelligence

Machine LearningMachine Learning

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