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Silo AI

Helsinki lab doing applied model work and European-language foundation models.

silo.ai
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Based in
Finland
Category
AI & Models
Models, APIs and the tools built on them.
Source & hosting
Proprietary · Vendor-hosted

Business overview

AMD Silo AI is an applied AI lab rather than a self-service product: customers commission model research, optimisation and deployment instead of signing up for an account. The lab builds and tunes models for AMD compute platforms and packages delivery as the SiloGen platform, an enterprise stack that connects open-source AI frameworks and generative models to a Kubernetes-based runtime, alongside the AMD Enterprise AI Suite for going from bare-metal compute to production-grade AI.

The lab reports more than 300 AI scientists, including 125+ PhDs, and over 200 production-grade AI implementations delivered across enable, optimise and deploy stages. Its own models include the open-source Poro 2 family, released with a long-context 8B variant and a math-reasoning variant. Named work includes large-scale histopathology foundation models with Bayer on AMD Instinct GPUs, spatial and physical AI research with the University of Bologna and UniMoRe, autonomous-driving perception work with Autoware, and a shared AI compute infrastructure built with TensorWave and Combient.

The company is Finnish, working alongside AMD's compute roadmap, and was awarded Business Finland funding to lead Compute to Impact, a five-year initiative coordinating over EUR 100 million in AI research and development investment to strengthen Finland's position in applied AI. Engagements run from research partnerships to enterprise integration, and the software bundled in those projects comes from AMD's stack rather than a downloadable edition of the lab's own platform.

Value proposition

Teams that need model work rather than labelling capacity get a lab instead of a tool: projects run from model choice through optimisation to a live deployment on AMD compute, starting from the open-source multilingual Poro models.

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