Private Inference API
Accelerated Compute

Dedicated GPU Infrastructure for production AI

Enterprise AI demands reliability, performance, accountability and European GDPR Compliance.

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The real challenge of production AI

01

Unstable
performance

GPU performance degrades once workloads run continuously, making results unpredictable over time.

02

Limited
scalability

GPU capacity is often unavailable exactly when scale-up is required, blocking growth at critical moments.

03

Throughput
bottlenecks

Clusters fail to sustain consistent, high throughput under load, causing inefficiencies and stalled pipelines.

04

Inefficient multi-GPU networking

Network design and topology limit effective scaling across multiple GPUs, reducing overall efficiency.

05

Fragile
software stacks

Driver, firmware, and CUDA stack drift introduce incompatibilities that silently break production workloads.

The problem isn’t access to GPUs. It’s running AI workloads in production on infrastructure never built for it.

Built for production
AI from day one

GPU infrastructure designed for how AI actually runs.

European and
sovereign

GPU infrastructure deployed and operated entirely in Europe, ensuring data locality, jurisdictional control, and long-term availability for regulated and strategic workloads.

Private
by design

Deploy GPU infrastructure in isolated environments for your Private AI workloads, with full control over data locality, access paths, and system configuration by design and at scale.

Sustained performance,
not best-effort

GPU instances and clusters are built according to NVIDIA Reference Architectures, delivering predictable throughput under continuous load, not just benchmark peaks.

Best performance
with NVIDIA Blackwell

Use the latest NVIDIA Blackwell GPUs to train, fine-tune and run the largest AI models. Designed for continuous operation in production environments to enable Agentic AI and deliver the next frontier of productivity.

NVIDIA B300-NVL8

The Liquid-Cooled NVIDIA B300 NVL8 is built for the age of Agentic AI due to its large memory and it’s ability to deliver raw computational power over sustained periods of time.

Specs

NVIDIA GB300-NVL72

Rack-scale, liquid-cooled GB300 NVL72 systems are purpose-built to train and run the largest models with enormous throughput. It delivers the best TCO for sophisticated AI workloads at scale.

Specs

Most efficient with Inference GPUs

These GPUs are optimized for inference because they deliver the right balance of memory, performance, and cost for running AI models reliably in production.

NVIDIA RTX-6000 Pro Blackwell

With its larger memory this GPU is best suited for single GPU production inference of LLMs, AVMs, and other memory-intensive AI workloads that must run reliably and continuously.

Specs

NVIDIA L40S and L4

Optimized for running smaller expert models and targeted inference workloads at the lowest possible cost. Ideal for use cases where models are optimized, latency matters, and cost need to be low.

Specs

Production AI requires
deliberate GPU Design

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