Deploying Machine Learning models w/ Vertex AI on GCP
Exploring Vertex AI Workbench for ML deployment (detailed tutorial on Vertex AI on GCP).
SA
Stane Aurelius
11 min read
Meet us in Singapore: Samuel Chan is speaking at GovTech STACK 2026, Marina Bay Sands on 3 November.
Supertype Notes
Model Serving
Taking trained models off the laptop and into resilient serving infrastructure.
2 articles in this topic
Serving PyTorch Models Using TorchServe
Package a PyTorch model with torch-model-archiver, write a custom handler, serve it through TorchServe's inference and management APIs, then run it in Docker.
SA
Stane Aurelius
12 min read
From the Supertype shelf
Going deep on Model Serving? We wrote the book.
The same thinking runs all the way through this 12-chapter guide, written by Samuel Chan and ready to read in an afternoon.
Learn it live with our engineers
Claude for Market Analysis
A hands-on workshop for building a personal market-monitoring system with Claude: screen IDX and SGX stocks, set up alerts in plain English, and build a live dashboard with an analyst built in. Beginner-friendly.
October 28, 2026Zoom Conferencing (Online)
Save your seatSeats from Rp490.000 (about $27)
Related topics
Data Science in Industry
Field reports on applying machine learning to messy, high-stakes real-world problems.
Sentiment Analysis
A deep learning journey through social sentiment, from raw tweets to deployed insight.
Streaming Data
Real-time architectures with Kafka, Spark, and the open source streaming stack.
Databases & BigQuery
Getting databases and warehouses to be fast, queryable, and ready for analytics.
Keep reading
This is one slice of the catalogue. Browse every topic on the notes index, or subscribe and we will send the next piece your way.
All Supertype Notes
The latest in AI and Enterprise Analytics