How to: MLOps: Infrastructure & Tooling
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1. [MLOps Infrastructure Stack Canvas](https://miro.com/app/board/o9J_lfoc4Hg=/)
1. [Rise of the Canonical Stack in Machine Learning. How a Dominant New Software Stack Will Unlock the Next Generation of Cutting Edge AI Apps](https://towardsdatascience.com/rise-of-the-canonical-stack-in-machine-learning-724e7d2faa75)
1. [AI Infrastructure Alliance. Building the canonical stack for AI/ML](https://ai-infrastructure.org/)
1. [Linux Foundation AI Foundation](https://wiki.lfai.foundation/)
1. ML Infrastructure Tools for Production | [Part 1 — Production ML — The Final Stage of the Model Workflow](https://towardsdatascience.com/ml-infrastructure-tools-for-production-1b1871eecafb) | [Part 2 — Model Deployment and Serving](https://towardsdatascience.com/ml-infrastructure-tools-for-production-part-2-model-deployment-and-serving-fcfc75c4a362)
1. [The MLOps Stack Template (by valohai)](https://valohai.com/blog/the-mlops-stack/)
1. [Navigating the MLOps tooling landscape](https://ljvmiranda921.github.io/notebook/2021/05/10/navigating-the-mlops-landscape/)
1. [MLOps.toys curated list of MLOps projects (by Aporia)](https://mlops.toys/)
1. [Comparing Cloud MLOps platforms, From a former AWS SageMaker PM](https://towardsdatascience.com/comparing-cloud-mlops-platform-from-a-former-aws-sagemaker-pm-115ced28239b)
1. [Machine Learning Ecosystem 101 (whitepaper by Arize AI)](https://arize.com/wp-content/uploads/2021/04/Arize-AI-Ecosystem-White-Paper.pdf)
1. [Selecting your optimal MLOps stack: advantages and challenges. By Intellerts](https://intellerts.com/selecting-your-optimal-mlops-stack-advantages-and-challenges/)
1. [Infrastructure Design for Real-time Machine Learning Inference. The Databricks Blog](https://databricks.com/blog/2021/09/01/infrastructure-design-for-real-time-machine-learning-inference.html)
1. [The 2021 State of AI Infrastructure Survey](https://pages.run.ai/hubfs/PDFs/2021-State-of-AI-Infrastructure-Survey.pdf)
1. [AI infrastructure Maturity matrix](https://pages.run.ai/hubfs/PDFs/AI-Infrastructure-Maturity-Benchmarking-Model.pdf)
1. [A Curated Collection of the Best Open-source MLOps Tools. By Censius](https://censius.ai/mlops-tools)
1. [Best MLOps Tools to Manage the ML Lifecycle (by NimbleBox.ai)](https://nimblebox.ai/blog/mlops-tools)
1. [The minimum set of must-haves for MLOps](https://marvelousmlops.substack.com/p/the-minimum-set-of-must-haves-for)