Elevate Your AI Projects

Unleash the Magic of Docker Containers with CodeNOW's AI in a Box

  • Welcome to CodeNOW, where your AI takes flight!

    Already tired of grappling with compatibility issues and spending hours setting up AI tools for different environments? Say hello to CodeNOW's AI in a Box, a powerful feature that empowers you to deploy AI models seamlessly within Docker containers. Powered by CodeNOW's DevOps platform, this game-changing feature will redefine how you deploy AI in your applications.

  • Pack Your AI Model into a Docker Container

    With this feature, you can pack your AI model into a Docker container. This container can run anywhere Docker is supported, be it on your local machine or a cloud platform, saving you from the hassles of setting up the infrastructure manually.

  • Easily Integrate Dockerized AI Tools into Your Application Architecture

    Next, you integrate this Dockerized AI tool into your application architecture as a microservice component, just like your other application components. You can now manage your AI tool the same way you handle every other part of your system - from creating new versions to monitoring its performance and beyond - all using CodeNOW's user-friendly dashboard.

  • Real-Time Insights for Targeted Responses

    So, in practice, when a customer interacts with your application, the AI tool microservice kicks in, predicting the customer's behavior and providing real-time insights for targeted responses. It's efficient, scalable, and quick to update.

  • Experience the Revolution, Join CodeNOW Today

    CodeNOW makes deploying and managing AI tools a breeze, giving you the power to drive more business value in less time. Don't miss out on this opportunity to harness the full potential of CodeNOW's AI in a Box. Join CodeNOW now and unlock the magic of Docker containers for your AI projects. Let's venture to a future where AI knows no boundaries.

Solution for AI development

Are you seeking a solution to manage the complexities of AI development and ensure the quality and reliability of your AI-based product? Personal AI faced similar challenges, but found success with CodeNOW. By utilizing CodeNOW, Personal AI was able to improve their time-to-market and increase productivity with predictable releases and developer self-service. They also benefited from reduced costs through the optimization of GPU usage and multiple cloud providers, and achieved higher availability through less resource consumption and automated Kubernetes management. Personal AI's experience with CodeNOW shows how an efficient Automated Software Delivery Platform can solve the challenges of AI development and talent scarcity. CodeNOW provides a secure, zero trust environment to ensure the best quality of service for your customers. To learn how CodeNOW can help you overcome your AI development challenges, download our case study or book a demo.

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