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Why AI Autonomy

Own your AI. Own your data.

Data Sovereignty

Your data never leaves your premises. Full GDPR compliance by design - no third-party processors, no cross-border transfers, no cloud vendor lock-in.

Unrestricted Performance

No rate limits, no usage caps, no API throttling. Run unlimited inference at full speed on hardware you control - 24/7 availability guaranteed.

Complete Customisation

Fine-tune models on proprietary data. Integrate with internal systems without exposing APIs externally. Build domain-specific AI that’s truly yours.

Cost Control

Eliminate unpredictable cloud AI bills. One-time hardware investment plus flat software licensing. 3–10× cost reduction vs. cloud API consumption.

The Hardware

NVIDIA DGX Spark

A compact AI appliance that fits on a desk - no data centre required.

  • 128 GB unified GPU memory
  • 1 petaFLOP AI performance
  • Desktop form factor - quiet, energy-efficient
  • Runs advanced 70B+ parameter models
  • 1M token context window - process entire documents, codebases, and datasets in a single pass

Or bring your own equivalent hardware - the ScaiLabs stack runs on any CUDA-capable system with sufficient memory.

Included

Full ScaiLabs stack

From unboxing to production AI in under 4 hours.

ScaiGrid

Multi-tenant AI inference platform with routing, accounting, and model management.

ScaiCore

Agentic workflow orchestration with the ScaiCore programming language.

ScaiKey

Enterprise identity and access management - OIDC, SAML, federation.

ScaiMatrix

RAG pipeline with semantic search built-in. Your data, instantly searchable.

ScaiWave

AI-native team communication with integrated AI participants.

ScaiBot

Embeddable chatbots for internal and public use, grounded in your data.

ScaiVault

Secrets management and PKI for secure credential storage.

ScaiDrive

Enterprise file sync and sharing with AI integration.

Scale

Cluster. Train. Deploy.

Start with one box. Add nodes as your workload grows. 200 GB/s interconnect keeps everything in sync.

01

Inference at Scale

Distribute large models across nodes with tensor parallelism. Serve concurrent users with consistent low-latency responses.

02

Fine-Tuning

LoRA and full fine-tuning on proprietary datasets using distributed training. Build domain-specific models without sending a byte off-premise.

03

Training

Scale to multi-node training with data and pipeline parallelism. The 200 GB/s backbone keeps gradient sync fast - no stragglers.

04

Linear Scaling

Add DGX Spark nodes as needed. Each node brings 128 GB more memory and 1 more petaFLOP. No architectural changes required.

The Numbers

Why on-premises AI makes business sense

60% of enterprises

Cite data privacy as the #1 barrier to AI adoption. On-premises eliminates that barrier entirely.

€2M+ annual spend

Average cloud AI API cost for mid-size enterprises. Own your hardware and eliminate unpredictable bills.

3–10× cost reduction

On-premises AI vs. cloud API consumption. The hardware pays for itself within months.

100% uptime independence

No outages from external providers. Your AI runs when you need it, regardless of what happens elsewhere.

Ready to put AI on your desk?

Contact us to discuss AI-in-a-Box for your organisation - from a single workstation to a multi-node cluster.

Get in Touch