INVESTORS

Accelerating AI Inference -Investment Opportunities with Axelera® AI

Axelera AI is redefining AI inference with high-performance, cost-efficient solutions for server,  edge and embedded deployments. Backed by leading investors and European grants, we are accelerating the next era of AI-powered computing. Join us in shaping the future.

The Future of AI Inference is Here – Be Part of the Revolution

The market for AI inference chips is growing fast. It is estimated at approximately US$ 128 billion in 2026 and is expected to keep growing at about 16% per year through 2036. This growth is happening across server, edge, and embedded server deployments. Each one needs a design that fits its own needs for performance, power, and cost.

Inference is the bulk of how companies take advantage of the AI and Super Intelligence era and that is exactly what Axelera AI is built for: highly optimized, high performance, low power consumption inference. We have developed user-friendly, scalable technology with strong performance and efficiency, at a fraction of the cost of existing players. It accelerates computer vision and NLP across edge, embedded, and server deployments.

Our Metis® AI Platform powers the next generation of vision, language and action systems. It supports complex applications such as image classification, object detection, and tracking. The second generation Europa® chip extends our AI inference acceleration to even more use cases by doubling the AI cores, adding onboard codecs including pre/post processing, and double the memory bandwidth. Looking ahead, Titania™ is our scalable AI inference chiplet for high-performance computing and data centers. Our Voyager® SDK helps teams build computer vision applications quickly, without deep AI knowledge. Axelera Wingman adds to this software stack and makes it even easier to get started and move from idea to deployment.

We are making AI simple and making the impossible possible. We do this with the support of industry-recognized innovation leaders and investors, and with the Horizon Europe Research and Innovation funding program.

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