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.
We partnered with Red Hat to promote Season 4 of Command Line Heroes — a podcast about the people who transform technology from the command line up. Season 4 is all about hardware that changed the game. We’re featuring episode 1 from season 4 — called “Minicomputers: The soul of an old machine.” This is the story of Minicomputers and how they paved the way for the personal computers that could fit in a bag and, eventually, the phones in our pockets.
Learn more and subscribe at redhat.com/commandlineheroes.
Colin Billings is the founder and CEO of Orro where they’ve built the first truly intelligent home lighting system. It knows when you’re in the room, and adjusts the lights automatically for you. But Colin’s path to starting this company wasn’t a straight line. Like most innovative products, Orro has an interesting beginning — after-all, they’re going up against the giants.
NVIDIA Chief Scientist Bill Dally joins Daniel Whitenack and Chris Benson for an in-depth conversation about ‘everything AI’ at NVIDIA. As the leader of NVIDIA Research, Bill schools us on GPUs, and then goes on to address everything from AI-enabled robots and self-driving vehicles, to new AI research innovations in algorithm development and model architectures. This episode is so packed with information, you may want to listen to it multiple times.
Todd Gamblin, a computer scientist at Lawrence Livermore National Laboratory, joined us to talk about Moore’s Law, his work at Lawrence Livermore National Laboratory, the components of a micro-chip, and High Performance Computing.
Sara Chipps, the creator of Jewelbots, and George Stocker, the VP of Engineering at Jewelbots joined the show to talk about connected wearables for kids, keeping UX simple, building a business on open source, and influencing young girls through the possibilities of coding.
László Monda (aka Lotsy) joined the show to talk about a keyboard for hackers — the Ultimate Hacking Keyboard. We discussed the features, the hardware design, the open source that powers it, and more.