Europa is gaining traction already
The Ultralytics YOLO family of models has set the industry standard for computer vision globally. The performance we've achieved running YOLO models on Axelera AI's Metis platform has been remarkable, delivering the speed and efficiency our users demand for real-world computer vision applications. Our collaboration has proven that advanced AI inference can be both powerful and accessible. With Europa's expanded capabilities coming next year, we're excited to broaden YOLO's deployment across entirely new use cases.
Glenn Jocher, CEO

IT4LIA’s AI Factory initiative is a strategic cornerstone in building a sovereign European infrastructure for artificial intelligence. Our collaboration with Axelera AI within the DARE project reflects our commitment to integrating advanced European technologies into national HPC environments. We are ready to host and validate Axelera’s Europa accelerators within our infrastructure, supporting their deployment in real-world, high-performance AI workloads. This partnership... [read more]
Daniele Cesarini, Head of AI/HPC Architecture
As a company at the forefront of AI innovation, Almawave is excited to collaborate with Axelera AI on the launch of Europa. By combining Axelera’s next-generation inference platform with our expertise in developing cutting-edge AI applications and our proprietary language model Velvet, we can deliver powerful, accessible, and energy-efficient solutions to our customers. This partnership reinforces our shared commitment to bringing advanced AI to the Edge, with real impact across industries’
Valeria Sandei, CEO Almawave Spa
As the leading provider of AI-software, Multiverse prides itself on partnering with the very best technology companies to enable our solutions. Axelera AI is building world-class hardware that powers the most performant and energy efficient AI inference solutions around the globe. Their next generation of hardware, Europa, will be a welcome addition to our infrastructure as we pursue our mission to make AI faster, cheaper and more energy efficient.
Rodrigo Hernandez, Global Director of Gen AI

E4 Computer Engineering is widely renown as being leader on integrating the latest technology solutions. We are testing Metis from Axelera AI and are very impressed with its capabilities as well as of the support provided by the Voyager SDK. We firmly believe that the next solution, Europa, offers a leap in performance such that data centers will more efficiently support the needs of their customers and we are prepared to integrate this new solution into our ecosystem!
Cosimo D. Gianfreda, CEO and Co-Founder

Advantech has successfully integrated Axelera AI's Metis AIPU into our products, bringing efficient AI processing to customers worldwide. The real-world performance and reliability have exceeded expectations, enabling breakthrough applications in manufacturing automation and intelligent infrastructure. We're thrilled to support the Europa launch and look forward to incorporating its 629 TOPS of processing...[read more]
Joey Hsu, Embedded ECG Director

At SURF, we empower researchers with world-class digital services and drive innovation through collaboration. Our partnership with Axelera AI, using Metis in SURF’s Experimental Technologies Platform and exploring Europa, reflects our excitement for emerging AI technologies that have the potential to transform research.
Valeriu Codreanu, Head of High-Performance Computing and Visualization

One SDK. Every Platform.
Deploy your AI applications across both Metis and Europa with the same Voyager SDK. Develop once and scale across the entire Axelera platform, from compact edge devices to enterprise servers. The Voyager SDK uses simple YAML configuration to automatically compile, optimize, and deploy your complete application pipeline, whether you're running vision models, image processing, or language models. Build on one platform, deploy anywhere your applications need to run.

1 Automotive use cases do not include functional safety compliance.
2 Competition source data: https://docs.nvidia.com/nim/benchmarking/llm/latest/performance.html#llama-3-1-8b-instruct-results
Data from Axelera internal testing and competitor published data