Blog
- Parallelizing across multiple CPU/GPUs to speed up deep learning inference at the edge [Amazon Blog]
- Building Robust Production-Ready Deep Learning Vision Models in Minutes [Blog]
- Deploy Machine Learning Models with Keras, FastAPI, Redis and Docker [Blog]
- How to Deploy a Machine Learning Model -- Creating a production-ready API using FastAPI + Uvicorn [Blog] [GitHub]
- Deploying a Machine Learning Model as a REST API [Blog]
- Continuous Delivery for Machine Learning [Blog]
- Kubernetes CheatSheets In A4 [GitHub]
- A Gentle Introduction to Kubernetes [Blog]
- Train and Deploy Machine Learning Model With Web Interface - Docker, PyTorch & Flask [GitHub]
- Learning Kubernetes, The Chinese Taoist Way [GitHub]
- Data pipelines, Luigi, Airflow: everything you need to know [Blog]
- The Deep Learning Toolset — An Overview [Blog]
- Summary of CSE 599W: Systems for ML [Chinese Blog]
- Polyaxon, Argo and Seldon for Model Training, Package and Deployment in Kubernetes [Blog]
- Overview of the different approaches to putting Machine Learning (ML) models in production [Blog]
- Being a Data Scientist does not make you a Software Engineer [Part1]
Architecting a Machine Learning Pipeline [Part2]
- Model Serving in PyTorch [Blog]
- Machine learning in Netflix [Medium]
- SciPy Conference Materials (slides, repo) [GitHub]
- 继Spark之后，UC Berkeley 推出新一代AI计算引擎——Ray [Blog]
- 了解/从事机器学习/深度学习系统相关的研究需要什么样的知识结构？ [Zhihu]
- Learn Kubernetes in Under 3 Hours: A Detailed Guide to Orchestrating Containers [Blog] [GitHub]
- data-engineer-roadmap: Learning from multiple companies in Silicon Valley. Netflix, Facebook, Google, Startups [GitHub]
- TensorFlow Serving + Docker + Tornado机器学习模型生产级快速部署 [Blog]
- Deploying a Machine Learning Model as a REST API [Blog]
- Colossal-AI: A Unified Deep Learning System for Big Model Era [Blog] [GitHub]