Inconsistent environments, dependency misalignments, and local hardware limitations are common bottlenecks for machine learning engineers. These issues not only delay progress but also hinder collaboration and onboarding.
DevPod offers containerised, pre-configured environments that streamline onboarding, guarantee consistency, and support remote development, enabling teams to work more efficiently. It’s open source and infrastructure-independent, meaning it works with the stack your team already uses and prefers.
Similarly, ModelKits facilitate collaboration by allowing developers to create a single artifact for their ML projects that is easily shared, versioned, managed, and deployed. It has many benefits, such as version control, secure packaging, and seamless integration with popular tools like Git, Huggingface, etc.
Why do these tools work so well?
These tools can streamline development, enhance collaboration, and accelerate deployment. By combining DevPod with KitOps ModelKits, we can realise three key benefits.
Consistency across teams: DevPods enable all team members to work in identical environments. The flexibility to launch DevPod on top of cloud providers and a Kubernetes cluster further assists teams and organisations in augmenting the resource allocation process for individual machines. ModelKits standardise how projects are shared.
Improved collaboration: Share pre-configured DevPods and packaged ModelKits for seamless team handoffs. Organisations can create a new container image with KitOps and the necessary ML libraries (Pandas, scikit-learn, Pytorch, etc.) that are pre-installed. The container image can then be used to launch new instances with DevPod. This way, all developers will have access to the same environment and have an easier time developing, collaborating, and sharing project artifacts among cross-functional teams.
Enhanced efficiency: Reduce setup time and focus on innovation by automating dependencies and artifact sharing.
To learn how to implement this and want to learn more in-depth, check out this Article by Jozu.
