AxForge offering · Request
BAAI's BGE-M3 is a multilingual embedding model with dense, sparse and multi-vector retrieval in one, an 8,192-token input window, under MIT. Validated on AxForge hardware with a dedicated DGX Spark deployment option for your traffic only, subject to confirmed availability, configuration and licence, as an OpenAI-compatible endpoint on hardware only you use, operated by AxForge in the EU.
Currently request-only. Add your request to the public forum; this is not a booking or a promised launch.
Why AxForge
| Three retrieval modes in one | Dense vectors, sparse lexical weights and ColBERT-style multi-vectors from a single model, for hybrid search without three models. |
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| 100+ languages, 8k tokens | Long documents and multilingual corpora embedded in one pass. |
| MIT licence | Permissive: commercial use, no licence conversation. |
Specifications
| Model | BGE-M3 by BAAI |
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| Modalities | Text → vector (embeddings) |
| Context window | 8,194 tokens |
| Licence | Open weights (mit); commercial use permitted |
| Hardware | NVIDIA DGX Spark (GB10, 128 GB unified memory), owned and operated by AxForge |
| Rental term | Hour, week, month or year |
| Hardware pricing | €1.19/hour on demand · €0.95/hour by the week · €0.91/hour by the month · €0.85/hour by the year |
| Managed service | Quoted per deployment |
| Region | Málaga, Spain (eu-es-1) |
BGE-M3 catalogue reference: specifications and requirements. List prices in EUR.
How it works
| 1 | Add a public request describing your workload, context needs and preferred rental term. A request does not reserve hardware or promise a deployment. |
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| 2 | If AxForge can offer a deployment, agree the configuration, hardware rental, licence and managed-service price in writing before anything is billed. |
| 3 | Only after availability and terms are confirmed would AxForge provision the agreed dedicated system and model build. |
| 4 | After provisioning, point your OpenAI SDK at your own endpoint with the model name you receive. |
| 5 | After provisioning, adjust the term (hour, week, month or year) as your workload settles. |
Request model or sign in to start.
FAQ
This page describes the managed deployment option. Availability, the model build, hardware, licence and price must be agreed before a deployment can be offered. A public request does not provision or reserve a machine. Check the console for the current serverless offering list.
Qwen3 Embedding is the alternative with per-token API billing when offered; BGE-M3 is the choice for a dedicated deployment when you want hybrid (dense + sparse) retrieval or its multilingual coverage.
For a deployment agreed after availability is confirmed: A dedicated DGX Spark embedding your documents behind an OpenAI-compatible /v1/embeddings endpoint, millions of chunks a day, in the EU.
AxForge publishes only numbers it measures itself, and has not benchmarked this model on its nodes yet. For quality benchmarks, see the official model card.
For a deployment agreed after availability is confirmed: Hardware by the hour, week, month or year; the managed service is quoted per deployment. Both are confirmed in writing before anything is billed.