Photonic computing for AI acceleration

Photonic computing for AI acceleration

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Episode
157 of 339
Duration
44min
Language
English
Format
Category
Non-fiction

There are a lot of people trying to innovate in the area of specialized AI hardware, but most of them are doing it with traditional transistors. Lightmatter is doing something totally different. They’re building photonic computers that are more power efficient and faster for AI inference. Nick Harris joins us in this episode to bring us up to speed on all the details.

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Fastly • – Our bandwidth partner. • Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comLaunchDarkly / TrajectoryConf • – Software powers the world. LaunchDarkly empowers all teams to deliver and control their software. DevOps and feature management are reimagining how we build and release new products. On November 9th and 10th, LaunchDarkly is hosting Trajectory Conference 2021 — a two-day event for software innovators who want to break orbit, not systems. Trajectory is a fully-virtual conference that focuses on the technology, people, and processes that continuously deliver better user experiences and more powerful software. Register for free at trajectoryconf.comLinode • – Get $100 in free credit to get started on Linode • – Linode is our cloud of choice and the home of Changelog.com. Head to linode.com/changelog • OR text CHANGELOG to 474747 to get instant access to that $100 in free credit.

Featuring:

• Nicholas Harris – Website • , X • Chris Benson – Website • , GitHub • , LinkedIn • , X • Daniel Whitenack – Website • , GitHub • , X Show Notes:

Lightmatter Something missing or broken? PRs welcome!


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