Hardware to enable intelligence at the boundaries of physics. A novel architecture unlocked by combining photonics, superconductors, and semiconductors.
Great Sky has been selected for Phase I of the Genesis Mission. Our project with @BrookhavenLab will scale our superconducting neural networks toward real-time fusion diagnostics – hardware built for the physics of the problem, not faster versions of what exists.
Our founder @JeffShainline joined @eetimes' Brains and Machines podcast to talk through the physics behind Great Sky's superconducting neural networks: Josephson junctions, single-photon detectors, and more.
Full episode here: https://t.co/s8tFDUcqST
CDS' AI Department, led by Shinjae Yoo, is looking forward to continuing its successful partnership with @GreatSkyAI as part of @ENERGY's Genesis Mission. 👏Kudos to @JeffShainline & the Great Sky team! #AI
Renewed investor anxiety over AI capex isn't really about the dollar figures, it's a symptom of the underlying problem. Today's AI hardware demands massive, continuous spending because it's fundamentally mismatched to the task. That's the problem we're solving at Great Sky.
Microsoft, Meta and Amazon face renewed investor anxiety over debt-fueled AI spending after Alphabet boosted its capex forecast by up to $15 billion https://t.co/JGidChA9qU
Great Sky has been selected for Phase I of the Genesis Mission. Our project with @BrookhavenLab will scale our superconducting neural networks toward real-time fusion diagnostics – hardware built for the physics of the problem, not faster versions of what exists.
Most of the AI industry is trying to make intelligence work better on today's computing hardware.
We think that's the wrong question. The more consequential one: is that hardware the right foundation for intelligence at all?
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The world doesn't compute in clock cycles. An intelligent model of a dynamical world should be built from dynamical primitives — physically instantiated, not digitally simulated.
That mismatch is where we start at Great Sky.
Grid strain isn't a data center problem, it's a hardware problem. Current AI runs on binary transistors that weren't designed for the operations intelligence actually requires. We're building superconducting hardware designed for intelligence, not adapted to it after the fact.
New York became the first state in the nation to impose a moratorium on the construction of data centers.
Gov. Kathy Hochul (D) signed an executive order pausing environmental permits for large data centers for up to a year. https://t.co/kZ9yyO3rDH
We're hiring — across engineering, hardware, and business roles.
We're rebuilding AI from first principles: new compute architectures, new fabrication processes, without an existing playbook to follow. Come help us build it.
https://t.co/KU5thI2WL7
Will Rye, Electrical Engineering Intern at @GreatSkyAI. Studied physics at Colgate under our own Ken Segall. His honors thesis proved the functionality of one of our chips and now he's here running experiments on them.
Introducing Mehdi Partou, Senior Electrical Engineer at @GreatSkyAI. 18 years designing hardware across HPC, medical devices, consumer electronics, and scientific instruments. Now building the infrastructure that demonstrates what our chips can do
Introducing Jake Glasby, Superconducting Circuit Design Engineer at @greatskyai.bsky.social. Formerly Northrop Grumman, dissertation on SNSPDs. Building the circuitry that surpasses conventional computing by integrating distinct tech into something new and powerful
Introducing Aziz Karasahin, Integrated Photonics Engineer at @GreatSkyAI. Came from @Intel. Now building the light-based communication infrastructure inside our chips, the nervous system for a new kind of brain
Wade Hunter, Senior Stack Engineer at @GreatSkyAI. Software, data engineering, HPC, full stack, machine learning. Building the infrastructure that connects all of our systems together
Introducing @Matthew76469498, Senior Algorithms Engineer at @GreatSkyAI. MSc from @uclnews, thesis on training SOENs. Joined for the architecture, stayed for the team
Dana Rampini, Superconducting Electronics Experimentalist at @GreatSkyAI. Physics background, Honeywell and @NIST experience, Nature publication. Now building the experimental infrastructure that brings our superconducting neural networks to life
What will power the next era of AI? 🤯
@JeffShainline of @GreatSkyAI explains why superconductors, photons, and brain-inspired circuits could power the next era of AI.
📺 YouTube: https://t.co/tXhUNq7F0v
🎧 Spotify: https://t.co/iXR4UTU09a
🎙️ Apple Podcast: https://t.co/tT9uBFpguu
#AIInfrastructure #GPUs #Supercomputing #GreatSky #TheNeuron