3 posts tagged with "eu-data-sovereignty"

Managed Inference already gives you an open-weight LLM running on a dedicated EU GPU in Helsinki, served by vLLM behind an OpenAI-compatible endpoint, reached as foundrydb_managed/<model> with an fdb-inf key and wrapped in rate limits, token ceilings, EU residency, and GPU-hour metering. That is a great base model. It is not your model.

Today it can be. You can now serve your own LoRA fine-tuned adapters on that same managed GPU, live, with no restart. The base model stays loaded, your fine-tunes load alongside it, and each one answers on the same endpoint under the same governed controls. Your weights and your fine-tunes never leave EU infrastructure.

Your database holds the rows. Your app serves the requests. But almost everything real also produces bytes that are not rows: user uploads, generated PDFs, exports, image thumbnails, model artifacts, documents you want to search later. Until today, holding those bytes meant leaving FoundryDB for a separate object storage account, a separate console, a separate bill, a separate credential model. Your data lived in one place and your blobs lived somewhere else.

Not anymore. FoundryDB Files is live. It is per-org, S3-compatible object storage, built into the platform and hosted in Europe, and it lives right next to the databases and apps you already run here. Provision a bucket in seconds with no VM to size. Reach it from any S3 SDK or tool you already know. Hand out presigned URLs for browser-direct uploads. And, the part we are most excited about, attach a bucket to a hosted app and watch it just work, with credentials the platform mints, scopes, injects, and revokes for you.

Your data already lives in Europe. Your databases run in European zones, your backups stay in European object storage, and your compliance story is clean right up until your application calls a model. Then a prompt full of customer data crosses the Atlantic on a key someone pasted into an environment variable, with no ceiling, no metering, and no answer to the question "where did that text actually go?"

Today we close that gap, and we do something bigger than close it. Three features ship together: vector search as a service over pgvector, embedding pipelines that run as real jobs with schedules and run history, and a managed inference proxy that puts one governed, OpenAI-compatible endpoint in front of OpenAI, Anthropic, Mistral, and Azure OpenAI. Together they make FoundryDB the European AI Data Platform: the one place where your data, your embeddings, and your model calls live under a single set of controls.