quantized-containerized-models is a project which aims to show how modern techniques such as quantization, containerization and CI/CD work together to produce fast, lightweight and production-ready model deployments.
Its core objective is to show that cutting edge AI systems can be built without sacrificing reproducibility, scalability or hardware efficiency.
Replicate is a natural fit for this project because it is purpose-built for deploying models in isolated, reproducible containers. Its infrastructure automatically handles GPU provisioning, CUDA standardization and versioning, making it ideal for showcasing optimized, quantized models.
Replicate’s open-source library Cog ensures that container images remain consistent across development, testing and production, directly supporting the CI/CD and the testing needs of the project. Also, backed by Cloudflare's infrastructure, Replicate offers a stable and performance-oriented platform well-suited for showcasing containerized AI deployments.
This project is licensed under the Apache License 2.0.