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granite embedding 311m multilingual r2

Runs as your own dedicated GPU deployment, ready to launch from the wizard. Data stays in Europe.

Get started ← All models
curl 
$ curl https://hostyourai.com/api/v1/embeddings \
  -H "Authorization: Bearer hyai-..." \
  -H "Content-Type: application/json" \
  -d '{
    "model": "ibm-granite/granite-embedding-311m-multilingual-r2",
    "input": "The quick brown fox"
  }'

Call it now

Drop-in replacement for OpenAI: change only the base URL and API key. The Anthropic format (/v1/messages) is supported too.

Serve Model garden On request
ibm-granite/granite-embedding-311m-multilingual-r2

text->embedding · ibm-granite · sovereign EU

Runs on EU infrastructure operated by European companies, from your request to the GPU. See the full chain

Model Summary: Granite-Embedding-311M-Multilingual-R2 is a 311M parameter dense embedding model from the Granite Embeddings collection for high-quality multilingual text embeddings. It produces 768-dimensional vectors with a context length of up to 32,768 tokens. The model suppor...

Router
Router · on request
Dedicated
Dedicated · available
0.3BParameters
33KContext window
8GBMinimum VRAM
POST /api/v1/embeddings On request

Specifications

Parameters0.3B
Context window32,768 tokens
Minimum VRAM8 GB
ArchitectureModernBertModel (vLLM)
Licenseapache-2.0
Modalitytext->embedding
ReleasedApril 2026
Publisheribm-granite ↗

Pricing

Shared router · per token

On request Not available on the shared router. Pricing on request as a dedicated GPU deployment.

Dedicated GPU · per hour

from €2,22 per hourYour own vLLM instance on European cloud (8 GB VRAM), billed per minute.

Shared EU router, you pay only per token. Dedicated GPU deployments are billed per minute, see pricing.

Bench index

Bench is our quality index for every model, 0 to 100. It rests on public measurements (Epoch AI with about 40 benchmarks, LiveBench, LMArena and more) and is refreshed every morning. Where nobody measures, it shows an estimate with a range.

~59.2 / 100 · Estimate

Estimated from its size, fitted on every model on MTEB (its own scale).

Range 53.4 to 65.0

Sources: Epoch AI ↗ · LiveBench ↗ · LMArena ↗ · Refreshed daily, last on 10-11-2026

Questions

Frequently asked questions

Can I run granite embedding 311m multilingual r2 in the EU?

Yes. HostYourAI runs granite embedding 311m multilingual r2 on GPUs in European datacenters via vLLM. Prompts and outputs never leave the EU and there is no US cloud provider in the chain.

Is hosting granite embedding 311m multilingual r2 GDPR-compliant?

Yes. All processing happens inside the EU, a Data Processing Agreement (DPA) is available and the subprocessor list is public. Open-source weights also mean: no training on your data.

How much does granite embedding 311m multilingual r2 cost?

granite embedding 311m multilingual r2 needs several GPUs at once, so it runs as a dedicated deployment billed per GPU minute rather than per token. Tell us your volume and we will work it out with you.

Is the API OpenAI-compatible?

Yes. You use the standard OpenAI SDKs with a custom base URL (https://hostyourai.com/api/v1). The Anthropic Messages API is supported as a drop-in as well.

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The platform

One platform, four layers

Start with one layer and add the others when the work asks for it. They share one key, one balance and one Activity view.

Code

Your coding agent on open models in Europe, set up with one command.

Open

Control

Keys, budgets and guardrails per team, and personal data stopped before any model sees it.

Open

Serve

Shared per token, or running for you alone, from European data centres.

Open

EU compute

Private GPUs in Europe, H100 to B300, sized for response time, generation speed and concurrent users.

Open

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