AxForge offering · Request
OpenAI's open-weight reasoning models (20B and 120B mixture-of-experts), built for agentic work, tool use and long chains of reasoning, under Apache-2.0. 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
| OpenAI, open weights | The first open-weight models from OpenAI: two sizes, both released under Apache-2.0, with configurable reasoning effort and native tool calling. |
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| 20B on one machine | For an agreed deployment, subject to availability: gpt-oss-20b is sized for a single accelerator; on a dedicated DGX Spark it runs as your own OpenAI-compatible endpoint. The 120B build is a multi-GPU deployment. |
| Agents, not just chat | Structured outputs, function calling and a reasoning mode you can dial down for latency: the pieces an agent workflow needs, on hardware only you use. |
Specifications
| Model | gpt-oss by openai |
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| Modalities | Text |
| Sizes | 20.9B, 116.8B |
| Licence | Open weights (apache-2.0); 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) |
gpt-oss 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.
gpt-oss-20b for a single dedicated machine and low latency; gpt-oss-120b when quality on hard reasoning matters more than cost. It needs a multi-GPU system, which AxForge would scope with you. Any deployment depends on confirmed availability, configuration, licence and price.
Yes, function calling and structured outputs are part of the model, and they work through the OpenAI-compatible endpoint on your machine.
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.