Products · Managed GPU
Dedicated AI infrastructure, operated for you.
Describe the workload. AxForge scopes the configuration, then deploys and operates the environment for you: machine, CUDA and drivers, runtime, model deployment, inference server, networking and endpoint.
How it works
From request to endpoint
| 1 · Describe it | "Run Qwen3.6 on a DGX Spark", "an RTX 6000 Pro with vLLM", "deploy this model privately". Plain words are enough. |
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| 2 · We scope it | AxForge scopes hardware, region and price with you. The managed service is quoted per deployment, in EUR, in writing, before anything is billed. |
| 3 · We operate it | You get an OpenAI-compatible endpoint on your own machine, serving only your traffic. We keep it running. |
Hardware
What it runs on
NVIDIA DGX Spark (GB10, 128 GB unified memory): hardware from €0.85/hour or €664.30/month, hosted in Málaga, Spain (eu-es-1). The managed service is quoted per deployment, separately from the hardware rate. Additional GPU capacity available against registered demand: RTX 6000 Pro, RTX 5090, RTX 3090, H100, H200 and B200; see the GPU catalogue.
Validated models ready for managed deployment: Qwen3.6 35B A3B, Qwen3 30B A3B, Gemma-4 26B, Mistral Small 3.2, Qwen-Image, SDXL, or bring your own open weights.
Which product
Three ways to run on AxForge
| Serverless | Use the AxForge API: OpenAI-compatible, pay per token, no machine to run. |
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| GPU rental | You operate the environment on a dedicated machine with full SSH access, by the hour, week, month or year. |
| Managed GPU | AxForge operates the environment. You describe the workload and receive an endpoint. |
Data
Dedicated means dedicated
Your model, your traffic, our hardware. Prompts are never persisted and nothing is used for training. Processing stays in the EU. Details in the trust centre.
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