Open Innovation
Cluster Manager (OICM+)
Open Innovation
Cluster Manager (OICM+)
Open Innovation
Cluster Manager (OICM+)
The Open Innovation Cluster Manager (OICM) is engineered to streamline the management of complex AI and data science workloads with unmatched efficiency and security. Developed by Open Innovation AI, OICM serves as a cornerstone for enterprises aiming to leverage the full potential of modern AI technologies. Our platform ensures rigorous compliance, operational excellence, and scalability.
Multi-Tenancy and Secure Resource Sharing
OICM, along with our other solutions, offers sophisticated systems for managing multiple tenants, ensuring secure and efficient resource distribution while maintaining strict compliance and data integrity.
Kubernetes & SLURM Management
Implements advanced systems ensuring isolated resource and workload management, with dedicated nodes and sophisticated control planes illustrated in our detailed architecture figures.
Data Isolation
Utilizes a unified database architecture to guarantee tenant-specific data access and security.
Network Segmentation
Maintains tight security and resource management by enforcing robust network segmentation across tenant environments.
Monitoring and Compliance
Tailored monitoring systems track resource usage and activities across tenants, ensuring adherence to strict compliance standards.
Resource Management
We feature advanced scheduling and resource allocation tools, including GPU node management, to optimize the deployment and operation of AI workloads.
Node Management
Provides intuitive tools for optimizing node configuration and management, enhancing system performance and resource utilization.
Resource Allocation and Scheduling
Utilizes a unified database architecture to guarantee tenant-specific data access and security.
Resource Guarantee and Scalability
Offers dedicated resource quotas for tenants and supports scalable adjustments to meet dynamic workload demands.
Monitoring & Logging
We provide robust systems for continuous oversight of operations, equipped with detailed metrics for performance analysis and centralized logging for efficient issue resolution.
Comprehensive Monitoring
Captures a wide array of performance metrics (CPU, GPU usage, etc.) integrated into the OICM user interface.
Detailed Logging and Event Analysis
Centralizes logs from all sources, enhancing system auditing and optimization.
Usage Monitoring
Tracks and manages resource distribution across workspaces, users, and workloads, with proactive alerting systems for timely administrative response.
Identity and Access Management (IAM)
Our products, with OICM at the forefront, incorporate rigorous security protocols, including role-based access control (RBAC) and data governance,
to ensure the protection of sensitive data and compliance with regulatory standards.
User and Roles Management
Allows administrators to manage access controls finely, aligning with organizational security policies.
Authentication Protocols
Utilizes a unified database architecture to guarantee tenant-specific data access and security.
Authorization Controls
Manages detailed permissions for data and resource access, ensuring operations are secure and efficient.
Multi-Tenancy and Secure Resource Sharing
OICM, along with our other solutions, offers sophisticated systems for managing multiple tenants, ensuring secure and efficient resource distribution while maintaining strict compliance and data integrity.
Kubernetes & SLURM Management
Implements advanced systems ensuring isolated resource and workload management, with dedicated nodes and sophisticated control planes illustrated in our detailed architecture figures.
Data Isolation
Utilizes a unified database architecture to guarantee tenant-specific data access and security.
Network Segmentation
Maintains tight security and resource management by enforcing robust network segmentation across tenant environments.
Monitoring and Compliance
Tailored monitoring systems track resource usage and activities across tenants, ensuring adherence to strict compliance standards.
Inferencing
OICM, alongside our additional offerings, provides scalable model serving across multiple frameworks, enhancing the deployment and operational efficiency of AI models. Our solutions support dynamic scaling and robust integration with popular AI frameworks, ensuring high availability and performance
Scalable Model Deployment:
Supports dynamic scaling and efficient resource management for deploying machine learning models.
Comprehensive API Support
Offers industry-standard API compatibility, facilitating seamless integration with popular AI frameworks and tools.
Multi-Tenancy and Secure Resource Sharing
OICM, along with our other solutions, offers sophisticated systems for managing multiple tenants, ensuring secure and efficient resource distribution while maintaining strict compliance and data integrity.
Kubernetes & SLURM Management
Implements advanced systems ensuring isolated resource and workload management, with dedicated nodes and sophisticated control planes illustrated in our detailed architecture figures.
Data Isolation
Utilizes a unified database architecture to guarantee tenant-specific data access and security.
Data Isolation
Utilizes a unified database architecture to guarantee tenant-specific data access and security.
Data Isolation
Utilizes a unified database architecture to guarantee tenant-specific data access and security.
FinOps
Tracks and manages the financial aspects of AI operations, providing detailed insights into resource usage and cost efficiencies.
Notebooks Management
Facilitates efficient management and operation of computational notebooks, supporting a range of data science activities from development to deployment.
LLM Fine Tuning, Benchmarking, and Human Feedback
Offers tools for detailed model refinement, performance benchmarking, and integrating human insights into model development, ensuring models are both effective and aligned with user expectations.
Tracking and Experimentation Management
Specializes in managing ML experiment parameters, metrics, and artifacts, providing a robust foundation for detailed analysis and documentation. An API client that allows efficient interaction with the tracking server, enhancing the management of various MLOps activities.
Resource Management
We feature advanced scheduling and resource allocation tools, including GPU node management, to optimize the deployment and operation of AI workloads.
Node Management
Provides intuitive tools for optimizing node configuration and management, enhancing system performance and resource utilization.
Resource Allocation and Scheduling
Features a unified scheduler that optimizes task distribution and resource placement, including support for multi-node batch processing.
Resource Guarantee and Scalability
Offers dedicated resource quotas for tenants and supports scalable adjustments to meet dynamic workload demands.
Monitoring and Logging
We provide robust systems for continuous oversight of operations, equipped with detailed metrics for performance analysis and centralized logging for efficient issue resolution.
Comprehensive Monitoring
Captures a wide array of performance metrics (CPU, GPU usage, etc.) integrated into the OICM user interface.
Detailed Logging and Event Analysis
Centralizes logs from all sources, enhancing system auditing and optimization.
Usage Monitoring
Tracks and manages resource distribution across workspaces, users, and workloads, with proactive alerting systems for timely administrative response.
Identity and Access Management (IAM)
Our products, with OICM at the forefront, incorporate rigorous security protocols, including role-based access control (RBAC) and data governance, to ensure the protection of sensitive data and compliance with regulatory standards.
User and Roles Management:
Allows administrators to manage access controls finely, aligning with organizational security policies.
Authentication Protocols
Utilizes a unified database architecture to guarantee tenant-specific data access and security.
Authorization Controls
Manages detailed permissions for data and resource access, ensuring operations are secure and efficient.
Inferencing
OICM, alongside our additional offerings, provides scalable model serving across multiple frameworks, enhancing the deployment and operational efficiency of AI models. Our solutions support dynamic scaling and robust integration with popular AI frameworks, ensuring high availability and performance
Scalable Model Deployment
Supports dynamic scaling and efficient resource management for deploying machine learning models.
Comprehensive API Support
Offers industry-standard API compatibility, facilitating seamless integration with popular AI frameworks and tools.
FinOps
Tracks and manages the financial aspects of AI operations, providing detailed insights into resource usage and cost efficiencies.
Notebooks Management
Facilitates efficient management and operation of computational notebooks, supporting a range of data science activities from development to deployment.
LLM Fine Tuning, Benchmarking, and Human Feedback
Offers tools for detailed model refinement, performance benchmarking, and integrating human insights into model development, ensuring models are both effective and aligned with user expectations.
Tracking and Experimentation Management
Specializes in managing ML experiment parameters, metrics, and artifacts, providing a robust foundation for detailed analysis and documentation. An API client that allows efficient interaction with the tracking server, enhancing the management of various MLOps activities.
Resource Management
We feature advanced scheduling and resource allocation tools, including GPU node management, to optimize the deployment and operation of AI workloads.
Node Management
Provides intuitive tools for optimizing node configuration and management, enhancing system performance and resource utilization.
Resource Allocation and Scheduling
Features a unified scheduler that optimizes task distribution and resource placement, including support for multi-node batch processing.
Resource Guarantee and Scalability
Offers dedicated resource quotas for tenants and supports scalable adjustments to meet dynamic workload demands.
Monitoring and Logging
We provide robust systems for continuous oversight of operations, equipped with detailed metrics for performance analysis and centralized logging for efficient issue resolution.
Comprehensive Monitoring
Captures a wide array of performance metrics (CPU, GPU usage, etc.) integrated into the OICM user interface.
Detailed Logging and Event Analysis
Centralizes logs from all sources, enhancing system auditing and optimization.
Usage Monitoring
Tracks and manages resource distribution across workspaces, users, and workloads, with proactive alerting systems for timely administrative response.
Identity and Access Management (IAM)
Our products, with OICM at the forefront, incorporate rigorous security protocols, including role-based access control (RBAC) and data governance,
to ensure the protection of sensitive data and compliance with regulatory standards.
User and Roles Management
Allows administrators to manage access controls finely, aligning with organizational security policies.
Authentication Protocols
Utilizes a unified database architecture to guarantee tenant-specific data access and security.
Authorization Controls
Manages detailed permissions for data and resource access, ensuring operations are secure and efficient.
Inferencing
OICM, alongside our additional offerings, provides scalable model serving across multiple frameworks, enhancing the deployment and operational efficiency of AI models. Our solutions support dynamic scaling and robust integration with popular AI frameworks, ensuring high availability and performance
Scalable Model Deployment
Supports dynamic scaling and efficient resource management for deploying machine learning models.
Comprehensive API Support
Offers industry-standard API compatibility, facilitating seamless integration with popular AI frameworks and tools.
FinOps
Tracks and manages the financial aspects of AI operations, providing detailed insights into resource usage and cost efficiencies.
Notebooks Management
Facilitates efficient management and operation of computational notebooks, supporting a range of data science activities from development to deployment.
LLM Fine Tuning, Benchmarking, and Human Feedback
Offers tools for detailed model refinement, performance benchmarking, and integrating human insights into model development, ensuring models are both effective and aligned with user expectations.
Tracking and Experimentation Management
Specializes in managing ML experiment parameters, metrics, and artifacts, providing a robust foundation for detailed analysis and documentation. An API client that allows efficient interaction with the tracking server, enhancing the management of various MLOps activities.