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New Features from ClearML Strengthen Security and Vector Image Search

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ClearML Unveils Powerful New Features to Secure AI Model and Agent Deployment and Accelerate RAG Deployment

If you’re part of an IT team tasked with supporting your organization’s AI ambitions, you already know the headaches: complex security setups, manual configurations, and the constant pressure to keep sensitive data and models secure. Good news! ClearML just made your life a lot easier.

We’re excited to announce that we’ve just rolled out advanced new IT governance and security controls. Announced during NVIDIA GTC, these enhancements mean you can now securely build, test, and deploy AI agents and generative AI apps with a single click, without losing sleep over security and compliance.

Unlike traditional AI platforms that force IT teams to juggle separate security tools and external infrastructure, ClearML provides a unified platform-wide approach. This means built-in Role-based Access Control (RBAC), authentication, and networking, already pre-integrated and ready to use. You no longer have to manually configure security for every API or application endpoint, saving you valuable time, resources, and budget.

Key Features You’ll Love:

Containerized Application Launcher: Easily deploy your own or third-party AI agents and models within ClearML’s secure and integrated environment.

Secure Application Gateway: Allow external users to safely interact with AI models, fully protected by ClearML’s robust security measures.

Seamless Network Management: Launch secure AI agents without worrying about complicated network setups or security configurations.

Instant Compute Access: Set your permissions and policies once, and ClearML will handle the rest. You get automatic, secure, one-click compute access.

Empowering AI Builders with Flexibility

We didn’t stop there. We’ve added capabilities specifically designed to empower AI developers:

Custom AI Agent Creation: Write custom code and launch proprietary AI agents within ClearML and deploy them effortlessly on the platform.

Integrated Vector Database for RAG: Accelerate your Retrieval-Augmented Generation (RAG) applications. We’ve just introduced fully integrated vector databases that support native vector image search right within our Hyper-Datasets feature. This means your AI teams can now effortlessly explore, analyze, and utilize data, speeding up the development of high-performance machine learning models and RAG-enabled generative AI applications. ClearML simplifies the entire process – from data ingestion and embedding models to managing secure access and version control. These new capabilities mean no more manual integrations. Combined with our GenAI App Engine, which handles embedding model deployment, you can build end-to-end RAG pipelines smoothly and securely, all from one unified platform.
Figure 1: ClearML’s vector image search capabilities

ClearML also automatically logs and versions your vector databases. Need to roll back after an update? No worries. ClearML makes reverting to a previous version quick and painless, ensuring data integrity and model reproducibility.

With metadata-driven controls, streamlined orchestration, and comprehensive security, ClearML’s Hyper-Datasets and GenAI App Engine provide an unmatched AI infrastructure solution. Whether you’re using off-the-shelf LLMs or custom-built models, we’ll help you get your GenAI apps into production faster.

Easier, Safer, Faster: The ClearML Advantage

ClearML’s platform-wide enhancements ensure you can confidently scale your AI initiatives while dramatically reducing complexity. Whether you’re developing custom AI agents or leveraging advanced vector database features, ClearML simplifies your workflows and strengthens security.