Dedicated model · Available as managed deployment

Nemotron 3 Super API in Europe: managed deployment

NVIDIA's Nemotron 3 Super, a 120B mixture-of-experts with 12B active parameters, the balanced mid-tier for corporate agent workflows, shipped in NVFP4 and BF16. 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.

Available as managed deployment eu-es-1 · Málaga Text
Request deployment Qwen3.8 27B, on the API now Hour, week, month or year. Hardware from €0.85/hour; managed service quoted per deployment.

Why Nemotron 3 Super

What you get

The mid-tier for agents120B total, 12B active: large-model knowledge at a latency and cost that suits day-to-day agent traffic.
Fits one large-memory machineThe NVFP4 build is sized for a single dedicated machine such as a DGX Spark; the BF16 build for multi-GPU systems.
NVIDIA open model licenceShips under NVIDIA's open model licence; AxForge reviews it with you and deploys under it where it applies.

Specifications

The model

ModelNemotron 3 Super by nvidia
ModalitiesText
Sizes67.2B, 123.6B
Released2026-03
Popularity1.1M downloads / month on HuggingFace
LicenceCommercial licence needed (the model's own licence); AxForge handles the licence where one is required
AvailabilityAvailable as managed deployment, operated by AxForge on hardware reserved for you
HardwareNVIDIA DGX Spark (GB10, 128 GB unified memory) in a quantized build, owned and operated by AxForge
RegionMálaga, Spain (eu-es-1)
PricingHardware 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

What "managed deployment" means

SystemA dedicated NVIDIA DGX Spark (GB10, 128 GB unified memory), reserved for you
Commercial modelHour, week, month or year. Hardware from €0.85/hour, managed service quoted per deployment
EndpointOpenAI-compatible /v1 on your own machine, only your traffic
LocationHosted in the EU: Málaga, Spain (eu-es-1)
Data handlingZero 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

Zero prompt retention

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

Nemotron 3 Super hosting: common questions

Is Nemotron 3 Super on the AxForge serverless API?

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.

Does Nemotron 3 Super fit on a DGX Spark?

The NVFP4 build does; AxForge validates it on the Spark and scopes a multi-GPU system if your throughput needs it.

Super or Ultra?

Super for balanced cost and speed, Ultra for the hardest reasoning and coding tasks on a multi-GPU system.

How fast is Nemotron 3 Super on your hardware?

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.

What does a dedicated Nemotron 3 Super deployment look like?

A dedicated NVIDIA DGX Spark (GB10, 128 GB unified memory) rented by the hour, week, month or year, running Nemotron 3 Super behind an OpenAI-compatible endpoint on your own machine, hosted in the EU with zero prompt retention.

What does EU Nemotron 3 Super hosting cost?

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.

Ready to build on EU inference?

Request deployment Talk to an engineer

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