AxForge offering · Request
DeepSeek's reasoning model: a 671B mixture-of-experts trained with reinforcement learning to think before it answers, with a 164k-token context, under MIT. Validated on AxForge hardware and deployed on a multi-GPU system sourced against your request for your traffic only, 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
| Reasoning at the top of the open field | R1 made long-form chain-of-thought reasoning available as open weights, for maths, code, analysis and planning tasks where a step-by-step model wins. |
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| MIT licence | The most permissive licence in the field: no usage conditions, distillation allowed, commercial use allowed. |
| Your own R1, in the EU | For an agreed deployment, subject to availability: A multi-GPU system reserved for you, with prompts processed in memory and never retained. The reasoning stays in Europe. |
Specifications
| Model | DeepSeek-R1 by deepseek-ai |
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| Modalities | Text |
| Sizes | 684.5B |
| Context window | 163,840 tokens |
| Licence | Open weights (mit); commercial use permitted |
| Hardware | Multi-GPU system (H100, H200 or B200 class) sourced against your request |
| Managed service | Quoted per deployment |
| Region | European region, placement confirmed with your request |
DeepSeek-R1 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.
A multi-GPU system (H100, H200 or B200 class), which AxForge sources against your request and confirms in writing before anything is billed.
Yes, the R1 distilled models (Qwen and Llama based, 1.5B to 70B) carry much of the reasoning behaviour and fit a single dedicated machine; ask for them in the request.
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 and the managed service are quoted per deployment. Both are confirmed in writing before anything is billed.