Made By
OpenFoundryReleased On
2024-10-24
OpenFoundry is a platform that simplifies the deployment of open source AI models to a user's own cloud infrastructure. It provides developers with a streamlined experience for building, deploying, and scaling AI-powered products through a command-line tool that enables model deployment with minimal code.
Key features:
- Model Deployment: Supports deployment of open source AI models from Hugging Face, SageMaker, or custom models, including Microsoft's Phi2.
- Cloud Integration: Enables deployment on AWS, with planned support for Azure and GCP.
- Model Management: Utilizes YAML files for model management, offering reproducibility and infrastructure as code capabilities.
- GitHub Actions Integration: Allows for automation of the deployment process through GitHub Actions.
How it works:
1. Install the OpenFoundry command-line tool locally.
2. Select an open source AI model from supported sources.
3. Deploy the model to your cloud infrastructure using a single line of code.
4. Manage and scale your deployed models as needed.
Use of AI:
OpenFoundry leverages open source AI models that are trained on large datasets. These models can be fine-tuned for specific use cases, allowing users to select the most appropriate model for their application.
AI foundation model:
The platform supports various AI models, including those from Hugging Face and SageMaker. Users have the flexibility to choose and deploy the best model for their specific requirements.
Target users:
- Startups
- Developers building AI-powered products
- Organizations seeking cost-effective alternatives to closed-source AI platforms
How to access:
OpenFoundry is available as a command-line tool that can be installed locally. It is distributed as an open source platform under the MIT License, with its repository available on GitHub.
Availability:
The platform is currently operational, with its first product launched on GitHub. Pricing information is not explicitly provided, but costs are likely based on the underlying cloud infrastructure used for deploying and managing AI models.
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