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Axelera AI

company · Netherlands

Scores

1 product on the map — 1 closed.

Axelera Metis AIPU

Openness

3 medium confidence
3.0
schematics
none
toolchain
open (Voyager SDK on public GitHub)
datasheets
brief (product pages/briefs public)
blobs
required (proprietary AIPU silicon + firmware)
retail
open_market (webstore + partners)
form_factor
module (sold as M.2 modules and PCIe cards)

Proprietary in-memory-compute silicon with a publicly available Voyager SDK on GitHub and retail purchasing, but board design files are not open.

  • https://github.com/axelera-ai-hub/voyager-sdk recorded 2026-08-13

    public voyager-sdk repository under Axelera's own org, "This is a production-ready release of Voyager SDK" at v1.8, with release notes and a compatibility matrix in-tree

  • https://www.axelera.ai/ recorded 2026-08-13

    Metis AIPU product pages and a Shop, "D-IMC technology performs matrix-vector multiplications in-place, delivering 50+ TOPs per core" and "At 15 TOPs/W" - marketing briefs and a store, with no board design files offered anywhere in the document set

Adoption

3 medium confidence
3.0

Commercially available via webstore and partners with a public, versioned SDK, but a younger ecosystem than Hailo/Coral. The Voyager SDK is at v1.8 with release notes and a release-compatibility matrix in-tree, and Axelera announces an ASRock Industrial collaboration integrating Metis AIPU cards into edge platforms.

Capability

4 medium confidence
4.0

Each Metis chip is rated at up to 214 TOPS, and Axelera now lists language-model inference up to 8B parameters alongside its vision models. The Voyager SDK still labels its language-model tutorial experimental.

  • https://www.axelera.ai/ recorded 2026-08-13

    "delivering 50+ TOPs per core at FP32-equivalent accuracy with zero data movement", "At 15 TOPs/W", and "100+ supported models and a single toolchain" for Voyager