Three ways to deploy.
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Server
AI at data center scale: multi-AIPU cards that bring inference density to racks and supercomputers.
From Chip to Complete System
Choose how you deploy.
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Next generation
Three generations, one architecture
One architecture that spans embedded to rack-scale deployments
Metis®
Quad-core AIPU
- Typical application power 3.5-9 W
- Memory up to 16 GB per chip
- LLM capacity up to 8B parameters
- YOLOv8l 181 FPS
- ResNet-50 up to 3,200 FPS
Europa™
Double the cores, sixteen vector units, pre/post-processing on die.
- TDP 45 W per card
- Typical power 30-40 W
- Memory up to 64 GB per chip
- LLM capacity up to 32B parameters
- Qwen3-30B-A3B 53.5 tokens/s
Everything you need to build, faster.
One toolchain, every deployment: describe your pipeline in YAML and the Voyager SDK compiles, quantizes and runs it on any Axelera product line, with no retraining required.
Voyager SDK: the end-to-end software stack
Purpose-built for AI inference: a declarative YAML pipeline language, 100+ supported models through one toolchain, and API compatibility with industry standards. From idea to deployment quickly, with deep customization when you need it.
Describe the workflow in plain language; Voyager Wingman creates and deploys it on device.
The running pipeline, inspected on real Metis silicon without leaving the desk.
Partner Accelerator Network
From hardware to software to distribution, Axelera partners with leading companies to deliver complete AI solutions.
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