Discover the powerful updates in Python-chi 1.0, Chameleon's official Python library. This new release brings improved typing, new modules for hardware and storage management, interactive Jupyter widgets, clearer error messages, and easier low-level access. Learn how these enhancements can simplify your experiment workflow, from resource allocation to data analysis. Whether you're a seasoned Chameleon user or just getting started, Python-chi 1.0 offers tools to make your research more efficient and reproducible.

Welcome back, Chameleonaires! As we transition from summer to our usual routines, check out the new and improved resources for getting started with Chameleon. Our engineers have been hard at work creating new tutorials, including interactive Trovi artifacts and live sessions. We've also updated our Getting Started guide to make it easier to use Chameleon’s powerful tools. Dive into our latest Trovi artifacts and tutorials to boost your research efficiency. Happy experimenting!

Exciting news for Chameleon users! We're introducing GigaIO's composable hardware at CHI@UC and CHI@TACC. This innovative technology allows for flexible GPU configurations, supporting up to 8 GPUs per node. Learn how this new feature can enhance your research capabilities and improve hardware utilization. Discover the specifications and unique advantages of our new composable systems in this blog post.

This blog post introduces the latest advancements in peripheral support for the CHI@Edge research testbed. It highlights the platform's holistic approach to integrating a wide range of sensors and cameras, opening up new possibilities for edge computing experiments. The post covers recent updates to documentation and tutorials, showcasing specific peripherals like the Waveshare Sense HAT-B and the Pi Camera Module 3. It also provides real-world examples of edge computing applications in fields such as precision agriculture and marine biology. Researchers are guided through the process of utilizing these new capabilities, with links to comprehensive tutorials on GPIO, sensors, and camera …

Monitoring power consumption is crucial for understanding the energy efficiency of your applications and systems. In this post, we explore various techniques for measuring power usage on Chameleon nodes, including leveraging Intel's RAPL interface for fine-grained CPU and memory power data, utilizing IPMI's DCMI commands for system-level power information, and employing the Scaphandre tool for detailed per-process power monitoring and visualization. We provide practical examples and step-by-step instructions to help you get started with power measurement on Chameleon, enabling you to gain valuable insights into the energy footprint of your workloads.

Recognizing the need for easier modification of running containers, we’ve introduced a straightforward method for SSHing into CHI@Edge containers, enhancing your development and experimentation processes. Our new tutorial on Trovi helps you create an SSH-ready base container, extending the CHI@Edge “hello world” example to enable remote access. This allows you to troubleshoot, configure, and update containers as if they were real servers. Access the tutorial via the CHI@Edge dashboard, and start developing with enhanced flexibility and ease.

In 2021, we introduced CHI@Edge, a cutting-edge testbed tailored to the dynamic needs of edge computing and IoT research. Our initial offerings included a robust selection of devices like Raspberry Pi 4s, Nvidia Jetson Nanos, and Jetson Xaviers, tailored for high-performance yet low-power edge computing tasks. Today, we're thrilled to announce the transition of CHI@Edge from a widely embraced preview to its official full production phase.

Discover how Chameleon's testbed capabilities have been enhanced with the introduction of the FABRIC Layer 3 connection in our new blog post. Learn about the powerful and flexible networking options it offers, how it simplifies the process of routing to FABRIC resources, and how it enables low-latency and high-bandwidth traffic routing between CHI@UC and CHI@TACC.

Get the inside scoop on Chameleon Cloud’s common user issues and smart fixes in our latest 'Tips and Tricks' blog, highlighting a year of learning and problem-solving.

Chameleon’s JupyterHub is a great way to organize your experiments for practical reproducibility. To overcome its resource limitations, we describe how to extend the Jupyter Server Trovi artifact so that you can run your full experiment inside a Jupyter notebook.