Private Inference API
Dedicated Inference

Private GPU infrastructure for enterprise AI

Dedicated Inference is Nebul’s solution for organizations that need full control over AI inference at scale. You run your models on fully dedicated, sovereign GPU infrastructure — with predictable performance, no shared resources, and complete ownership over data and cost.

01

Easy to replicate

Generic AI quickly becomes table stakes, as shared models produce similar outcomes that are easy to replicate and hard to differentiate.

02

Shallow domain fit

Generic models lack deep understanding of your domain, data, and workflows, their impact remains superficial and disconnected from business value.

03

Lacks precision

Designed for broad applicability rather than precision, generic AI misses the critical signals and edge cases that drive meaningful outcomes.

04

Not a core capability

Without tailored models and infrastructure, AI remains a standalone tool instead of a core capability that creates long-term value.

Private & sovereign by design

Your inference runs in a fully isolated GPU environment, hosted entirely in Europe. No shared tenancy, no data leakage, no uncertainty. Built for GDPR and regulated industries by default.

Full model freedom & control

Run any model — open-source, proprietary, fine-tuned, or experimental. Tune context sizes, apply quantization, optimize runtimes. If it runs on a GPU, you control it.

Predictable performance at scale

Dedicated GPUs mean guaranteed capacity, stable latency, and consistent throughput — from one GPU to thousands, without re-architecting.

Dedicated
GPU clusters

From a single L4 to thousands of B200 GPUs.

Enterprise-grade
operations

High availability, observability, and production-ready runtimes.

Model
optimization

Custom context sizes, compression, fine-tuning, and GPU-level optimizations.

Cost control
at high usage

Capacity-based pricing with unlimited inference per GPU.

Private AI Factory
integration

Runs seamlessly inside your existing Private AI Factory.

From generic models to tailored AI — fast

Whether you’re refining predictions, automating domain-specific workflows, or powering mission-critical use cases — tailored AI lets you move from raw data to real accuracy. Bring your proprietary datasets via API or SDK to fine-tune and adapt models to your business context. Build AI that understands your data and your domain — we handle the training pipeline, optimization, and scalable deployment.

01

Provisioned
setup

Choose a provisioned setup instead of instant access, with dedicated resources allocated upfront.

02

Sustained
workloads

Designed for sustained, high-volume workloads rather than variable or intermittent usage.

03

Run
any model

Run any model you require, instead of a curated or preselected model set.

04

Unmanaged
service

Best suited for teams that prefer an unmanaged service model over a fully managed offering.

05

Guaranteed
performance

Inference runs on guaranteed GPU capacity, not on a shared cluster.

06

Capacity-based
cost model

Uses a capacity-based cost model instead of a subscription-based model.

07

Full
isolation

Provides full isolation rather than access through a private API.

Deploy AI and get results without the risks

Become member of a select group of leaders.
Talk to an expert