Skip to main content
Alauda Container Platform is included as an Honorable Mention in the 2024 Gartner® Magic Quadrant™ for DevOps Platforms
Get in Touch

Alauda AI and Machine Learning

AML is an on-premise, enterprise-grade AI/ML platform that enables organizations to develop, deploy, and manage AI applications securely and efficiently. It offers on-premise deployment for data security, hybrid cloud resource management, comprehensive AI development tools, GPU support with virtualization, and a multi-tenant architecture. Alauda AI balances advanced AI capabilities with enterprise-level security and control, making it suitable for organizations with strict data governance requirements.

Challenges when implementing AI

Resource Optimization and Management
  • Efficient allocation and utilization of computational resources, especially GPUs
  • Workload scheduling and prioritization across teams and projects
  • Balancing resource demands in multi-tenant environments
Scalability and Performance
  • Scaling AI/ML operations while maintaining performance
  • Handling the computational demands of large models and datasets
  • Supporting growth from proof-of-concept to production-scale deployments
AI Model Lifecycle Management
  • Streamlining the end-to-end AI development process
  • Version control, deployment, and monitoring of AI models
  • Simplifying model updates and iterations
Integration and Accessibility
  • Integrating AI capabilities into existing applications and workflows
  • Providing easy access to pre-trained models and AI services
  • Enabling customization and fine-tuning of models for specific use cases
Infrastructure Flexibility
  • Supporting hybrid and multi-cloud deployments
  • Enabling AI workloads in containerized and Kubernetes environments
  • Bridging on-premise and cloud resources
Collaboration and Governance
  • Facilitating teamwork across different roles in AI projects
  • Implementing access controls and governance policies
  • Ensuring transparency and explainability in AI operations
Security and Compliance
  • Addressing data security concerns, especially for sensitive information
  • Meeting regulatory requirements in AI deployments
  • Ensuring ethical AI practices and responsible use
Cost Management
  • Optimizing the cost-effectiveness of AI operations
  • Providing visibility into resource usage and associated costs
  • Enabling chargeback mechanisms for shared resources
Enterprise-Grade Support and Reliability
  • Offering robust support for mission-critical AI applications
  • Ensuring high availability and disaster recovery for AI workloads
  • Providing validated and supported AI software stacks

Alauda AI & Machine Learning Feature List

On-Premise Deployment
  • Exclusively supports on-premise installation
  • Ensures data security and compliance with organizational requirements
GPU Support and Virtualization
  • Offers robust GPU support for accelerated AI/ML workloads
  • Implements GPU virtualization for efficient sharing and allocation of GPU resources
Hybrid Cloud Resource Management
  • Manages resources across hybrid cloud environments
  • Enables flexible allocation and utilization of computing resources
Comprehensive AI Development Environment
  • Provides unified tools for AI/ML project development, testing, and deployment
  • Supports the entire machine learning lifecycle
Resource Optimization
  • Provides intelligent scheduling and allocation of AI workloads
  • Optimizes resource utilization for cost-effective AI operations
Multi-tenant Support
  • Designed for service providers and large enterprises
  • Allows management of multiple separate client environments within a single platform instance