Dedicated model · Available as managed deployment
Meta's Llama 4 Scout, a 109B mixture-of-experts with 17B active parameters and 16 experts, natively multimodal and built for very long context and document parsing. Available as a managed deployment: validated on AxForge hardware and deployed on a DGX Spark for your traffic only, as an OpenAI-compatible endpoint on hardware only you use, hosted in the EU.
Why Llama 4 Scout
| Very long context | Scout is Meta's long-context model, built for document parsing, large codebases and long transcripts in one request. |
|---|---|
| Fits one large-memory machine | 109B total with 17B active: a dedicated DGX Spark runs it in a quantized build behind your own endpoint. |
| Llama 4 licence | Released under Meta's Llama 4 community licence; AxForge deploys under it and tells you what applies. |
Specifications
| Model | Llama 4 Scout by meta-llama |
|---|---|
| Modalities | Text + vision, accepts image input |
| Sizes | 108.6B |
| Released | 2025-04 |
| Popularity | 247k downloads / month on HuggingFace |
| Licence | Commercial licence needed (the model's own licence); AxForge handles the licence where one is required |
| Availability | Available as managed deployment, operated by AxForge on hardware reserved for you |
| Hardware | NVIDIA DGX Spark (GB10, 128 GB unified memory) in a quantized build, owned and operated by AxForge |
| Region | Málaga, Spain (eu-es-1) |
| Pricing | Hardware from €0.85/hour, rental term: Hour, week, month or year. Managed service quoted per deployment. Request deployment and we confirm both in writing. |
We publish only numbers we measure ourselves, and we haven't benchmarked this model on our nodes yet. For quality benchmarks, see the model card in the catalogue and the official card on HuggingFace.
Deployment
| System | A dedicated NVIDIA DGX Spark (GB10, 128 GB unified memory), reserved for you |
|---|---|
| Commercial model | Hour, week, month or year. Hardware from €0.85/hour, managed service quoted per deployment |
| Endpoint | OpenAI-compatible /v1 on your own machine, only your traffic |
| Location | Hosted in the EU: Málaga, Spain (eu-es-1) |
| Data handling | Zero prompt retention, same policy as the serverless API |
The model is validated on AxForge hardware and deployed on your system. After deployment, your endpoint speaks the OpenAI API with the model name you receive with the deployment.
Data & privacy
Prompts and completions are processed in memory in the EU, not written to disk, not logged, not retained, and never used to train anything. We keep only request metadata (token counts, timestamps, status) for billing and operations. The full policy is at axforge.ai/privacy.
FAQ
Not on the serverless API. It is available as a managed deployment: validated on AxForge hardware and deployed on a DGX Spark for your traffic only. The serverless API serves Qwen3.8 27B.
In a quantized build, yes; AxForge validates the context length you need on the Spark and scopes a multi-GPU system if required.
Yes, Llama 4 is natively multimodal; image input goes through the same endpoint.
We publish only numbers we measure ourselves, and we haven't benchmarked this model on our nodes yet. For quality benchmarks, see the official model card.
A dedicated NVIDIA DGX Spark (GB10, 128 GB unified memory) rented by the hour, week, month or year, running Llama 4 Scout behind an OpenAI-compatible endpoint on your own machine, hosted in the EU with zero prompt retention.
Hardware from €0.85/hour, by the hour, week, month or year; the managed service is quoted per deployment. Request deployment and we confirm both in writing.
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