MultiGPU Kubernetes Cluster for Scalable and Cost-Effective Machine Learning with Ray and Kubeflow
Introduction Large Language Models (LLMs) are very much in demand right now, and they need a lot of compute power to train. Llama 1 used...
MultiGPU Kubernetes Cluster for Scalable and Cost-Effective Machine Learning with Ray and Kubeflow
Dockerizing dbt Transformations for Managed Airflow: Docker, dbt, and GCP Cloud Composer
Distributed Machine Learning Model Training with Spark (PySpark)
Serving Dog Breed Classification model with Seldon-Core, TensorFlow Serving and Streamlit
Deploy Airflow and Metabase in Kubernetes using Infrastructure-as-Code
A hands-on project with dbt, Streamlit, and PostgreSQL
Modern Data Team Hats