With the release of new capabilities called Function Serve, Covalent is now a comprehensive, enterprise-grade solution for full lifecycle AI development and product realisation that provides serverless AI model training, fine-tuning, and inference together in a single platform.
Users will be able to take any open-source or proprietary model, fine-tune it, host it, and serve it with complete infrastructure abstraction, all from a single python notebook.
With the explosion of GenAI and LLMs, many startups and enterprises are struggling to efficiently train and deploy models due to the lack of tool standardisation as well as the complexity of the required computing infrastructure.
By providing complete infrastructure abstraction and a unified framework for end-to-end AI development, Covalent provides users with a blank canvas to create any AI application, making the effective deployment of AI more accessible, allowing users to transform concepts into ready-to-ship products, and significantly reducing time to market.
"Agnostiq is solving the hardest part of AI application deployment for any enterprise or start-up, which is orchestrating the accelerated compute infrastructure and AI development pipeline," explained Oktay Goktas, CEO of Agnostiq. "Covalent gives developers unprecedented speed and agility to build, iterate, and deploy anything that they can imagine, from multi-agent, multi-modal AI applications, to digital twins for real world simulation. What used to take months with dozens of best-in-class engineers can now be accomplished in hours from a single Python notebook."
Key features and functionalities of Covalent include:
End-to-end development: Covalent is a comprehensive AI development platform, allowing users to manage the full lifecycle and development of AI applications, from model training to deployment.
Infrastructure abstraction and orchestration: Covalent provides complete infrastructure abstraction, eliminating the need for DevOps and AIOps type infrastructure work, allowing developers to focus on code.
Serverless architecture: Covalent infrastructure is entirely serverless, allowing dynamic resource allocation for the full utilization of expensive and scarce compute resources, resulting in significant cost savings.
Multi-agent orchestration: Covalent includes native workflow orchestration functionality, enabling users to build production-grade AI agents in a scalable and cost-effective way. (See example here)
Since launching in January of 2022, Covalent has been focused on providing users with simplified and scalable access to cloud agnostic high-performance computing infrastructure, including CPUs, GPUs, and application-specific compute modalities.
With Function Serve, Covalent builds on those capabilities and introduces critical new use cases and applications into the platform, particularly for AI model training, fine-tuning and inference workflows.
Other use cases of the Covalent platform include large-scale simulations, digital twins, robotics, and any task that requires specialised or high-performance computing resources such as GPUs, ASICs and quantum computers.
