Description
The ClearML AI Infrastructure Platform is a comprehensive, three-layer solution designed to deliver a seamless and scalable AI workflow for enterprises, spanning from initial development through to production deployment. This platform empowers AI builders to maximize their AI potential at an enterprise scale.
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The Infrastructure Control Plane is the foundation, enabling users to connect and manage GPU clusters across on-premises, cloud, and hybrid environments. It focuses on high performance and cost optimization, offering built-in security features such as multi-tenancy and role-based access control. IT teams can provision GPU resources as a service (GPUaaS) with minimal configuration, facilitating easy access for end-users. The platform supports resource sharing across multiple AI projects and teams through quota management, dynamic fractional GPUs, and priority-based job scheduling to maximize compute utilization. Secure multi-tenancy ensures isolated networks and storage for each tenant, preventing data leakage, while granular billing capabilities provide usage-based chargebacks for immediate ROI.
The AI Development Center provides a robust environment for developing, training, and testing AI models. It offers a cloud-like experience with one-click infrastructure access and integrated tools for data integration, monitoring, automation, dashboards, pipelines, model repositories, and CI/CD integration. This allows AI builders to accelerate model development and deployment with flexible, adaptable infrastructure and self-serve compute.
Finally, the GenAI App Engine simplifies the deployment of Large Language Models (LLMs) onto your clusters. ClearML handles networking, authentication, and security, allowing users to launch any GenAI workload with a single click. The engine supports custom models or fine-tuning off-the-shelf LLMs, with tools for data ingestion, vector database creation, and feedback gathering to accelerate GenAI projects across the organization. This integrated approach streamlines AI workflows, ensuring quick and efficient setup from infrastructure management to AI development and deployment.
- CategoryMLOps & Model Deployment
- Pricing ModelNot specified
- DeploymentCloud Agnostic, Vendor Agnostic, Environment Agnostic
- PlatformsWeb
ClearML AI Infrastructure Platform's Core Features
Three-layer AI infrastructure solution
Infrastructure Control Plane for GPU cluster management
AI Development Center for model development and training
GenAI App Engine for LLM deployment
Supports on-premises, cloud, and hybrid GPU environments
Multi-tenancy and role-based access control
Cost optimization and usage-based billing
Integrated IDE for AI model development
Data integration, monitoring, and automation tools
Streamlined GenAI project deployment
Secure LLM API deployment with access control
Maximizes GPU utilization
Accelerates time-to-market for AI models
How to use ClearML AI Infrastructure Platform?
Connect GPU clusters: Integrate your on-premises, cloud, or hybrid GPU resources into the Infrastructure Control Plane.
Develop AI models: Utilize the AI Development Center's IDE and integrated tools for coding, testing, and training.
Configure infrastructure: Set up multi-tenancy, access controls, and quotas for resource management.
Deploy GenAI models: Use the GenAI App Engine to launch LLMs with built-in security and orchestration.
Monitor performance: Track AI workload performance and resource utilization across your infrastructure.
Optimize costs: Leverage granular billing and resource management for cost efficiency.
Iterate on GenAI projects: Utilize feedback gathering and data ingestion tools for continuous improvement.
ClearML AI Infrastructure Platform's Use Cases
- GPU Cluster Management
- AI Model Development
- GenAI Deployment
- Enterprise AI Scaling
- Cost Optimization
- Hybrid Cloud AI
- MLOps Automation
- Secure LLM APIs
