Compute

Explore compute resources (high-throughput, GPUs, etc.) for your next project! UW-Madison researchers should check out the UW Cloud Services page for information on institutional discounts, data protections, and how to request a cloud account.

Understanding Quantization and Precision

Explore quantization and floating-point precision in deep learning — covering FP32, FP16, BF16, INT8, and 4-bit formats and their impact on GPU memory and inference speed.

Intro to GCP for Machine Learning & AI

This Intro to GCP workshop teaches core workflows for building, training, and tuning ML/AI models in Google Cloud’s Vertex AI platform. Participants learn to set up data…

UW-Madison Cloud Services (AWS, GCP, Azure)

UW-Madison offers enterprise cloud computing through contracts with Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. These services are managed…

Intro to AWS SageMaker for Predictive ML/AI

This introductory AWS SageMaker workshop teaches core workflows for running predictive ML/AI models in AWS SageMaker, an AWS-managed machine learning environment.…

Google Colab

Google Colab is a cloud-based Jupyter notebook environment that runs entirely in the browser. It allows you to write and execute Python code without installing anything…

BadgerCompute

BadgerCompute is UW–Madison’s browser-based interactive computing service built on JupyterHub. It provides on-demand access to CPUs, memory, and GPUs without requiring any…

Center for High Throughput Computing (CHTC)

Established in 2006, the Center for High Throughput Computing (CHTC) is UW-Madison’s core computational service provider for large-scale computing. CHTC offers two main…