Elecia White, host of Embedded.fm and author of Making Embedded Systems, joins us to discuss all things embedded systems. We discuss programming non-computers, open source resources for embedded, self-driving cars, embedded system like the GoPro, Traeger smokers, and even birthday cards. According to Elecia, embedded is going everywhere.

Zac Smith left his role leading Equinix Metal in June of 2023. Since then, he’s been thinking deeply about the present and potential future of data centers, OEMs, chip makers & more.

Erez Zukerman shares the story of launching the ErgoDox EZ on Indiegogo (May 2015), what it takes to create customizable ergonomic keyboards, the benefits of split keyboards and custom key layouts, repairability and longevity, community engagement, and the attention to detail required in everything they create. We talk through their keyboard lineup, our personal experience with how we mouse and keyboard…we cover it all.

Flavors of Ship It on The Changelog — if you’re not subscribed to Ship It yet, do so at shipit.show or by searching for “Ship it” wherever you listen to podcasts. Every week Justin Garrison and Autumn Nash explore everything that happens after git push — and today’s flavors include running infrastructure in space, managing millions of machines at Meta, and what it takes to control your 3D printer with OctoPrint.

Gina Häußge is here to tell us about the infra behind the OctoPrint project, which tests and releases new versions that work on multiple different printers and gets deployed hundreds of thousands of times.

Our friend Ron Evans is a technologist for hire, an open source developer, an author, a speaker, an iconoclast, and one of our favorite people in tech. This conversation with Ron goes everywhere: from high-altitude weather balloons, to life on Mars, to Zeno’s paradox applied to ML, to what open source devs should learn from the Wu-Tang Clan & more.

This week Adam talks with Kris Moore, Senior Vice President of Engineering at iXsystems, about all things TrueNAS. They discuss the history of TrueNAS starting from its origins as a FreeBSD project, TrueNAS Core being in maintenance mode, the momentum and innovation happening in TrueNAS Scale, the evolution of the TrueNAS user interface, managing ZFS compatibility in TrueNAS, the business model of iXsystems and their commitment to the open-source community, and of course what’s to come in the upcoming Dragonfish release of TrueNAS Scale.

Techno Tim is back with Adam to discuss the state of homelab in 2024 and the trends happening within homelab tech. They discuss homelab environments providing a safe place for experimentation and learning, network improvement as a gateway to homelab, trends in network connection speeds, to Unifi or not, storage trends, ZFS configurations, TrueNAS, cameras, home automation, connectivity, routers, pfSense, and more.

Umm, should we make these conversations between Adam and Tim more frequent?

This week we’re joined by Haroon Meer from Thinkst — the makers of Canary and Canary Tokens. Haroon walks us through a network getting compromised, what it takes to deploy a Canary on your network, how they maintain low false-positive numbers, their thoughts and principles on building their business (major wisdom shared!), and how a Canary helps surface network attacks in real time.

Adam was out when Bryan made his podcast debut here on The Changelog, so we had to get him back on the show along with his co-founder and CEO Steve Tuck to discuss Silicon Valley (the TV show), all things Oxide, homelab possibilities, bringing the power of the cloud on prem, and more.

This week Adam talks with Andy Klein from Backblaze about hard drive reliability at scale.

This week we’re talking about mainframes with Cameron Seay, Adjunct Professor at East Carolina University and a member of the Governing Board of the Open Mainframe Project. If you’ve been curious about mainframes, this show will be a great guide.

Cameron explains exactly what a mainframe is and how it’s different from the cloud. We talk COBOL and the state of education and opportunities around that language. We cover the state-of-the-art in mainframe land, System Z, Linux on mainframes, and more.

It’s been a while since we’ve touched on quantum computing. It’s time for an update! This week we talk with Yonatan from Quantum Machines about real progress being made in the practical construction of hybrid computing centers with a mix of classical processors, GPUs, and quantum processors. Quantum Machines is building both hardware and software to help control, program, and integrate quantum processors within a hybrid computing environment.

Today we have a special treat: Bryan Cantrill, co-founder and CTO of Oxide Computer! You may know Bryan from his work on DTrace. He worked at Sun for many years, then Oracle, and finally Joyent before starting Oxide.

We dig deep into their company’s mission/principles/values, hear how it it all started with a VC’s blank check that turned out to be anything but, and learn how Oxide’s integrated approach to hardware & software sets them up to compete with the established players by building servers as they should be.

This week we’re joined by Mike Riley and we’re talking about his book Portable Python Projects (Running your home on a Raspberry Pi). We breakdown the details of the latest Raspberry Pi hardware, various automation ideas from the book, why Mike prefers Python for scripting on a Raspberry Pi, and of course why the Raspberry Pi makes sense for home labs concerned about data security.

Use the code PYPROJECTS to get a 35% discount on the book. That code is valid for approximately 60 days after the episode’s publish date.

We upgraded to the new MacBook Pro M1 Max and decided to share our first impressions of the new hardware, how we migrate data and settings from our old machines (or don’t), which apps were “instant installs” for each of us, which apps we’re trying to live without, and how we get our new machines set up for work and play. Nerd out with us!

Zac Smith, managing director Equinix Metal, is sharing how Equinix Metal runs the best hardware and networking in the industry, why pairing magical software with the right hardware is the future, and what Open19 means for sustainability in the data centre. Think modular components that slot in (including CPUs), liquid cooling that converts heat into energy, and a few other solutions that minimise the impact on the environment.

But first, Zac tells us about the transition from Packet to Equinix Metal, his reasons for doing what he does, as well as the things that he is really passionate about, such as the most efficient data centres in the world and building for the love of it.

This is a great follow-up to episode 18 because it goes deeper into the reasons that make Gerhard excited about the work that Equinix Metal is doing. This conversation with Zac puts it all into perspective.

By the way, did you know that Equinix stands for Equality in the Internet Exchange?

In this episode, we will be exploring the tiny world of Go and Hardware. We are joined by three gophers, Vladimir Vivien, Tobias Theel, and Ron Evans, who will be discussing the use of Linux API (V4L2) to control video hardware and capture image data in realtime, programming Bluetooth devices, working on WiFi communication using an Arduino Nano 33 IoT NINA chip, and much more.

90% of AI / ML applications never make it to market, because fine tuning models for maximum performance across disparate ML software solutions and hardware backends requires a ton of manual labor and is cost-prohibitive. Luis Ceze and his team created Apache TVM at the University of Washington, then left founded OctoML to bring the project to market.

Dave Lacey takes Daniel and Chris on a journey that connects the user interfaces that we already know - TensorFlow and PyTorch - with the layers that connect to the underlying hardware. Along the way, we learn about Poplar Graph Framework Software. If you are the type of practitioner who values ‘under the hood’ knowledge, then this is the episode for you.

This week we’re talking about open source industrial machines. We’re joined by Marcin Jakubowski from Open Source Ecology where they’re developing open source industrial machines that can be made for a fraction of commercial costs, and they’re sharing their designs online for free. The goal is to create an efficient open source economy that increases innovation through open collaboration. We talk about what it takes to build a civilization from scratch, the Open Building Institute and their Eco-Building Toolkit, the right to repair movement, DIY maker culture, and how Marcin plans to build 10,000 micro factories worldwide where anyone can come and make.

What’s it like to try and build your own deep learning workstation? Is it worth it in terms of money, effort, and maintenance? Then once built, what’s the best way to utilize it? Chris and Daniel dig into questions today as they talk about Daniel’s recent workstation build. He built a workstation for his NLP and Speech work with two GPUs, and it has been serving him well (minus a few things he would change if he did it again).

On the heels of NVIDIA’s latest announcements, Daniel and Chris explore how the new NVIDIA Ampere architecture evolves the high-performance computing (HPC) landscape for artificial intelligence. After investigating the new specifications of the NVIDIA A100 Tensor Core GPU, Chris and Daniel turn their attention to the data center with the NVIDIA DGX A100, and then finish their journey at “the edge” with the NVIDIA EGX A100 and the NVIDIA Jetson Xavier NX.

The role of a father plays a pivotal role in a child’s life. Ian Bernstein is a former Founder of Sphero and is now the Founder and Head of Product of Misty Robotics — they’re building the first programmable robot for the home and business. It’s called Misty II. The journey of building Misty II started when Ian was 5 years old and his dad bought him an Apple IIe.

Daniel and Chris have a fascinating discussion with Anna Goldie and Azalia Mirhoseini from Google Brain about the use of reinforcement learning for chip floor planning - or placement - in which many new designs are generated, and then evaluated, to find an optimal component layout. Anna and Azalia also describe the use of graph convolutional neural networks in their approach.