Agnostiq Introduces AI Model Training and Serving Capabilities in Covalent Platform

Agnostiq has announced a significant update to Covalent, its advanced computing platform. The new Function Serve capabilities make Covalent a comprehensive, enterprise-grade solution for serverless AI model training, fine-tuning, and inference within a single platform. This update allows users to manage AI model development and deployment from a single Python notebook, simplifying the entire process.

Covalent addresses the challenges faced by startups and enterprises in training and deploying AI models. The platform provides complete infrastructure abstraction and a unified framework, enabling users to quickly transform concepts into ready-to-ship products. This significantly reduces time to market.

CEO Oktay Goktas stated, "Covalent gives developers unprecedented speed and agility to build, iterate, and deploy anything they can imagine, from multi-agent, multi-modal AI applications to digital twins for real-world simulation."

Key features of Covalent include end-to-end AI development, infrastructure abstraction, serverless architecture, and multi-agent orchestration. These features eliminate the need for extensive DevOps work and allow dynamic resource allocation, resulting in cost savings.

Since its launch in January 2022, Covalent has focused on providing simplified and scalable access to high-performance computing infrastructure. The new Function Serve capabilities extend these benefits to AI model training, fine-tuning, and inference workflows.