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What does it take to support new AI hardware within PyTorch?
In our latest blog, contributors from @IBM share how they extended PyTorch Inductor for the IBM Spyre Accelerator, leveraging PyTorch's compiler to address challenges in data movement, memory management, and work distribution while optimizing for Spyre's unique architecture.
Read on for a look at how PyTorch's extensibility helps developers bring support for new hardware to the framework:
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@IBMResearch and PyTorch continue to push the boundaries of AI infrastructure and open source innovation.
Join us at #PyTorchCon# 2026 for a keynote from @PriyaNagpurkar, VP of AI-native Systems Research at IBM, technical sessions covering vLLM and PyTorch performance, and interactive demos featuring the llm-d project and the IBM Spyre Accelerator.
Register:
View IBM's conference agenda, accepted publications, and related press:
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Get more out of your AI infrastructure.
Carlos Costa, Distinguished Engineer at @IBMResearch and co-founder of the @_llm_d_ project will share some exciting news about llm-d: how the project changed the way the open source AI community scales inference at PyTorch Conference North America.
A little over a year after the project was founded, llm-d is reaching a new level of maturity, delivering state-of-the-art performance for generative serving, while also enabling the capabilities needed for day two operations, including multi-tenant quality of service, zero downtime operations, and all of that without sacrificing performance in production.
Join us in San Jose, October 20-21:
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@IBM has been selected for Stage C of @DARPA’s Quantum Benchmarking Initiative:
The next step: independent testing of our approach as we advance toward IBM Quantum Starling, our first fault-tolerant quantum computer, planned for 2029.
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PyTorch Conference is where the open source Al community gathers to talk about what we are all building together.
Priya Nagpurkar, VP of AI Native Systems at @IBMResearch will give a keynote at #PyTorchCon# North America on @IBM & @RedHat's contributions to the PyTorch ecosystem, including exciting developments on infrastructure for out-of-tree accelerators, enablement of IBM's Spyre Accelerator, and work with Ilm-d for distributed inference.
Come to the talk, meet the community, and hear what's next in open source Al. Join us in San Jose, October 20-21:
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Introducing “Tools for Quantum Advantage,” a new course from IBM Quantum highlighting the tools necessary for getting the most out of modern quantum computers and bringing useful quantum computing to the world:
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Quantum error mitigation and correction aren't separate paths. They're part of a continuum.
Our latest blog explores hybrid QEM/QEC methods that can improve reliability while reducing sampling overhead on the path to fault-tolerant quantum computing:
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Today, @IBM and @LockheedMartin, together with @ETH_en Zurich, the Swiss Federal Institute of Technology, launched a new quantum innovation hub in Switzerland:
The new hub will soon host the country’s first IBM Quantum System Two
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AI is unlocking new insights about the Moon. 🌙
@IBM and @NASA are open-sourcing the NASA-IBM Lunar Foundation Model, one of the first publicly available AI models built for scientific lunar exploration.
Learn more below 🧵
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A team led by @ClevelandClinic, @riken_en, and @IBM has been named a finalist for the 2026 @TheOfficialACM Gordon Bell Prize, one of HPC's highest honors, for its 12,635-atom protein simulation, the largest demonstrated on a quantum computer:
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Meet Granite 4.2, IBM’s latest family of open models purpose-built for enterprise agentic AI.
With new native reasoning capabilities, Granite 4.2 can plan, reason, self-correct and reliably use tools to help automate complex enterprise workflows
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Quantum computing has long been a technology of enormous promise. Now, that promise is starting to meet the real world.
This week’s @Newsweek cover explores why 2026 could mark an inflection point for quantum, from materials science to drug discovery.
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Quantum computers run cold. Really cold. ❄️
@LiveScience takes a look inside IBM’s new modular cryogenic architecture, designed to connect quantum processors while keeping them at temperatures near absolute zero.
🧵 A few things worth knowing:
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Today, @IBM is announcing a new modular architecture for quantum cryogenic systems.
This approach to housing, connecting, and cooling quantum processors is a foundational component of IBM’s path toward IBM Quantum Starling in 2029, which is expected to be the world’s first fault-tolerant quantum computer. Learn more here:
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Quantum progress isn't just about qubits. ⚛️
To build fault-tolerant quantum computing, refrigeration hardware must evolve alongside processors. That's why we're introducing a new modular cryogenic architecture.
Here are the details 🧵👇
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In "@SpiderMan: Brand New Day", Prof. Banner lectures on quantum chromodynamics (QCD), the study of how quarks and gluons form protons and neutrons.
Fun Fact: Researchers from BasQ are using @IBM quantum computers to understand physical theories like QCD
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America is leading the world in quantum computing.
Secretary Lutnick visited IBM in Yorktown Heights, New York, to see that leadership firsthand. American innovation and the Commerce Department’s cutting-edge CHIPS deals are driving the industry forward.
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Quantum computing is making headlines, but the bigger story is what comes next.
In a recent interview on @jimcramer's @MadMoneyOnCNBC, IBM Chairman and CEO Arvind Krishna discusses how quantum can help unlock breakthroughs across materials, medicine, energy and more.
Read the full conversation:
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If you only look at qubit count, you're missing most of the picture.
Here are the 3 hardware metrics that reveal how powerful a quantum computer really is. 🧵
