GEKI.AI
NVIDIA RTX PRO 6000 Blackwell

AI Factory on RTX PRO 6000.

The RTX PRO 6000 Blackwell Server Edition with 96 GB VRAM is our workhorse for open models — strong price-performance, fully managed by GEKI with SLAs in the right data center.

96 GB VRAM
2× to 8× GPUs
Fully managed

Non-binding · reply within 1–2 business days

NVIDIA RTX PRO 6000 Blackwell Server Edition

RTX PRO 6000 Blackwell Server Edition, operated by GEKI.

Why this card

Why we run the RTX PRO 6000 at GEKI.

Current Blackwell generation, 96 GB VRAM, Server Edition. That makes the RTX PRO 6000 our workhorse for AI inference.

The full technical specs: NVIDIA RTX PRO 6000 Blackwell Server Edition →

  • Strong price-performance

    A server GPU with plenty of memory — for many inference workloads the more economical choice over pricier data-center cards.

  • Blackwell generation

    Nvidia's current GPU generation with 96 GB VRAM, strong for AI inference.

  • Sovereign & open

    Run open models in the EU, under your control and without hyperscaler lock-in.

  • Fully managed

    GEKI plans, delivers and operates with SLAs. You don't need your own GPU team.

Different configurations

Your GEKI AI Factory on RTX PRO 6000.

Fully managed AI factories in different configurations, matched to your models. You can get started right away.

2× RTX PRO 6000

Ideal for Qwen 3.6 and Gemma 4

A compact entry into your own sovereign AI factory.

8× RTX PRO 6000

Ideal for GLM 5.2

More capacity for larger models and higher throughput.

Suitable for companies and SaaS providers that want to run open models sovereignly. Get started now →

What it's a fit for

Built for AI tasks in the enterprise.

Open models on your own factory cover a large share of enterprise tasks.

A good fit for

  • Internal company chat and knowledge assistant
  • Support: pre-sort tickets and draft replies
  • Document processing
  • Agents for recurring workflows
  • Inference endpoints for your SaaS product

Less suited for

  • Research at the absolute performance frontier
  • Training very large foundation models
How it works

From use case to a running factory.

  1. 1

    Use-case call with Matthias

    An honest assessment of which configuration fits — or what to do instead.

  2. 2

    Configuration & managed pricing

    A clear offer: 2× or 8× plus operations as managed pricing.

  3. 3

    Get started & operations

    GEKI operates with SLAs in the right data center and supports your workloads and agents.

Next step

A fit for your workload?

A short call with Matthias — an honest assessment of configuration and operating model.