--- title: Q.ANT releases open-source SDK for its photonic AI... description: Q.ANT, a German photonic AI chip startup, has released a free open-source SDK on GitHub with C and Python APIs, sample applications, and a CPU-based simulation... canonical: https://daily.dev/posts/q-ant-releases-open-source-sdk-for-its-photonic-ai-chips-with-hardware-access-still-limited-3uazqqlr7 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Q.ANT releases open-source SDK for its photonic AI chips, with hardware access still limited | daily.dev og:description: Q.ANT, a German photonic AI chip startup, has released a free open-source SDK on GitHub with C and Python APIs, sample applications, and a CPU-based simulation... og:url: https://daily.dev/posts/q-ant-releases-open-source-sdk-for-its-photonic-ai-chips-with-hardware-access-still-limited-3uazqqlr7 og:image: https://api.daily.dev/og/posts/3UaZQQlR7.png og:image:alt: Q.ANT releases open-source SDK for its photonic AI chips, with hardware access still limited og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Q.ANT releases open-source SDK for its photonic AI chips, with hardware access still limited **[Collections](https://daily.dev/sources/collections)** · 2 min read · 0 upvotes · 0 comments ## Summary Q.ANT, a German photonic AI chip startup, has released a free open-source SDK on GitHub with C and Python APIs, sample applications, and a CPU-based simulation backend, letting developers write and test code before hardware is widely available. The strategy mirrors Nvidia's CUDA playbook, but actual chip access remains limited to research centers, with broader availability planned through an IONOS cloud partnership and on-premise servers, though no dates are set. The SDK currently only supports inference on pre-trained models, lacks PyTorch integration, and requires manual wiring. Xanadu has offered a similar open SDK since 2018, and Graphcore's cautionary example shows that good developer tooling alone hasn't guaranteed hardware success. ## Content Q.ANT, a German startup building light-based AI processors, has released a free SDK on GitHub that lets developers write and test code for its photonic chips on ordinary computers. The toolkit includes C and Python APIs, sample applications, documentation, and a CPU-based simulation backend so you can build and test before touching real hardware. The CUDA comparison is obvious and Q.ANT is clearly making it deliberately: get developers writing code for your platform before the hardware is widely available, and you have a head start when it is. Nvidia built an empire on that strategy. Whether a photonic chip startup can pull it off is a different question. Right now, actual chip access is limited to a handful of research centers. Broader access is coming via a cloud partnership with IONOS and on-premise installations of Q.ANT's Native Processing Server, though no firm dates have been announced. The reference applications show neural networks achieving competitive results with fewer parameters, using native optical non-linear operations to cut data movement and improve energy efficiency compared to conventional AI hardware. The current SDK has real limitations worth knowing about. It only supports inference on pre-trained models, there's no PyTorch integration yet, and wiring has to be done manually. These aren't dealbreakers for early experimentation, but they matter if you're trying to build something production-ready. It's also worth noting that Q.ANT isn't first here. Xanadu has offered an open SDK for its photonic hardware since 2018. And the software-first strategy isn't a guaranteed path - Graphcore built its own developer ecosystem and still folded. Having good software helps, but it doesn't solve the harder problem of getting hardware into enough hands to matter. ## Questions this post answers ### What does Q.ANT's new SDK for its photonic AI chips actually let you do? It lets developers write and test code for Q.ANT's photonic AI chips on ordinary computers using C and Python APIs, sample applications, documentation, and a CPU-based simulation backend. It currently only supports inference on pre-trained models, has no PyTorch integration yet, and requires manual wiring, so it's aimed at early experimentation rather than production use. _Developers tracking early access to novel AI hardware platforms can follow SDK releases like this on daily.dev._ ### Can I actually run code on Q.ANT's photonic chips right now? Real hardware access is currently limited to a handful of research centers. Broader access is planned through a cloud partnership with IONOS and on-premise installations of Q.ANT's Native Processing Server, but no firm dates have been announced, so most developers can only build and test using the CPU-based simulator for now. _Anyone weighing when to invest time in emerging chip ecosystems can follow hardware access updates on daily.dev._ ### Is Q.ANT the first company to offer an open SDK for photonic computing hardware? No, Xanadu has offered an open SDK for its photonic hardware since 2018, well before Q.ANT's release. This shows the software-first developer strategy in photonic computing isn't new, and success depends on more than tooling alone, as Graphcore's own developer ecosystem didn't prevent the company from folding. _Developers comparing emerging AI hardware ecosystems can track these platform strategies on daily.dev._ ## Similar posts on daily.dev - [QpiAI Launches Open Quantum SDK for Developers and Researchers](https://daily.dev/posts/qpiai-launches-open-quantum-sdk-for-developers-and-researchers-n4egljuyr) · The Quantum Insider · 0 upvotes · 0 comments - [The AI Race Has A Translation Problem](https://daily.dev/posts/the-ai-race-has-a-translation-problem-aq1utc7zc) · Medium · 0 upvotes · 0 comments --- Tags: [#gpu](https://daily.dev/tags/gpu) [View this post on daily.dev](https://daily.dev/posts/q-ant-releases-open-source-sdk-for-its-photonic-ai-chips-with-hardware-access-still-limited-3uazqqlr7) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Q.ANT releases open-source SDK for its photonic AI chips, with hardware access still limited","url":"https://daily.dev/posts/q-ant-releases-open-source-sdk-for-its-photonic-ai-chips-with-hardware-access-still-limited-3uazqqlr7","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/q-ant-releases-open-source-sdk-for-its-photonic-ai-chips-with-hardware-access-still-limited-3uazqqlr7"},"datePublished":"2026-09-23T22:28:16.691Z","dateModified":"2026-09-23T22:28:58.517Z","description":"Q.ANT, a German photonic AI chip startup, has released a free open-source SDK on GitHub with C and Python APIs, sample applications, and a CPU-based simulation...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/a75ea2a3c1511849d75662fabbaff185?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/a75ea2a3c1511849d75662fabbaff185?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"Collections","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Collections","logo":"https://media.daily.dev/image/upload/s--fk_6ycEi--/f_auto,q_auto/v1780996001/logos/collections?_a=BAMAMiWQ0","url":"https://daily.dev/sources/collections"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/q-ant-releases-open-source-sdk-for-its-photonic-ai-chips-with-hardware-access-still-limited-3uazqqlr7","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"gpu","timeRequired":"PT2M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Collections","item":"https://daily.dev/sources/collections"},{"@type":"ListItem","position":3,"name":"Q.ANT releases open-source SDK for its photonic AI chips, with hardware access still limited"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/q-ant-releases-open-source-sdk-for-its-photonic-ai-chips-with-hardware-access-still-limited-3uazqqlr7#faq","mainEntity":[{"@type":"Question","name":"What does Q.ANT's new SDK for its photonic AI chips actually let you do?","acceptedAnswer":{"@type":"Answer","text":"It lets developers write and test code for Q.ANT's photonic AI chips on ordinary computers using C and Python APIs, sample applications, documentation, and a CPU-based simulation backend. It currently only supports inference on pre-trained models, has no PyTorch integration yet, and requires manual wiring, so it's aimed at early experimentation rather than production use. Developers tracking early access to novel AI hardware platforms can follow SDK releases like this on daily.dev."}},{"@type":"Question","name":"Can I actually run code on Q.ANT's photonic chips right now?","acceptedAnswer":{"@type":"Answer","text":"Real hardware access is currently limited to a handful of research centers. Broader access is planned through a cloud partnership with IONOS and on-premise installations of Q.ANT's Native Processing Server, but no firm dates have been announced, so most developers can only build and test using the CPU-based simulator for now. 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