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Vian H+AI MLOps Platform

Trustworthy, Optimized, Enterprise-Wide Deployment and Management of Machine Learning Models at Scale.
Vian H+AI MLOps Platform Overview
The Vian H+AI MLOps Platform delivers a simplified user experience and modular approach to build, optimize, deploy, manage and govern ML models at scale. Customers can use the entire end-to-end platform, or simply plug and play key components seamlessly, to create a customized solution. Our Vian ML Model Monitoring capabilities enable customers to monitor hundreds or thousands of models including mission-critical models with extremely high transaction volumes.
  • System-wide Features:
  • Teamwork and Collaboration
  • Enterprise Security
  • Governance
  • Enterprise Support
  • MLOps Features:
  • Data Acquisition
  • Data Versioning
  • Data Visualization
  • Data Preparation
  • Data Pipelines
  • Data Labeling
  • AutoML
  • Featurization
  • Feature Store
  • ML Pipelines or Workflows
  • Model Registry
  • Model Marketplace
  • Model Training
  • Distributed Model Training
  • Model Debugging
  • Experiment Management
  • Deep Learning Support
  • Reinforcement Learning Support
  • Bias Detection and Mitigation
  • Model Explainability
  • Hyperparameter Optimization
  • Model Packaging
  • Model Deployment and Serving
  • Edge ML Support
  • Model Monitoring
  • Cost Management
  • ML Infrastructure Orchestration
  • Accelerator Support
  • Kubernetes Support
  • Model Deployment Sub-features:
  • Model serving
  • Integrates with CI/CD pipeline
  • Roll-back options
  • Optimizes Infrastructure Dynamically
  • Auto-scales Infrastructure
  • Supports Batch Inference
  • Supports Streaming Inference

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Additional Product Information
Product Links
Deploys On
  • Amazon Web Services
  • Google Cloud Platform
  • Microsoft Azure
  • Other Public Cloud
  • Kubernetes
  • Private Cloud or Datacenter
  • SaaS
Free Version
Paid Version
Vianai Vendor Information
Vendor Overview
Our platform combines open-source elements, Vianai-proprietary techniques and optimizations, and human-centered design to bring AI to the enterprise at scale, across diverse landscapes. With our platform, large organizations can build, optimize, deploy and manage sophisticated ML models on existing infrastructure and improve the operations and performance of ML models across the enterprise.
Vendor Details
Year Founded
HQ Location
Palo Alto, CA, United States
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