dZGaaS · L1 · Infrastructure
Sovereign GPU Infrastructure for Enterprise AI
GPU capacity on demand with scheduling, cost optimization, private inference and model hosting — inside the jurisdiction and the perimeter your requirements name.
The problem it exists for
GPU capacity is bought for peak and idles most of the month, while teams that cannot get capacity buy their own and fragment the estate.
Deployment
Capabilities
Scale Computational Resources in Real Time Without Compromising Performance
Agentic Layer
Scheduling agents place workloads by topology, priority and cost, pre-empt low-priority jobs under contention and reclaim idle allocations.
Designed to run mission-critical workloads with high-end performance, GPU-as-a-Service complements the computing instances modern cloud environments demand through dynamic, intelligent, and seamless provisioning. Your access to the most advanced technologies without upfront costs begins here.
Integrations
- 05Kubernetes
- 04NVIDIA platforms
- 03Inference servers
- 02Model registries
- 01Identity
Outcomes
From seamless provisioning and multi-tenant resource pooling to policy-driven governance and real-time performance monitoring, the platform is designed to align compute power with evolving business needs.
GPU utilisation rate
Capacity wait time
Cost per million tokens served
Elsewhere in the stack
Chat4ED
EXPERIENCEA conversational intelligence layer that turns enterprise data into answers, explanations and decisions with a semantic layer running behind it, revealing real-time insights your team needs.
dZEaaS
EXPERIENCEEnvironments on demand — AI-ready, policy-conformant and disposable — so teams stop waiting weeks for infrastructure and stop building production-like environments from scratch.
dZops
ORCHESTRATEAI agents investigate, diagnose, remediate and verify recurring incidents across your infrastructure — inside policy, with rollback available and every action on the audit record.
Choose your starting point
Where Are You Today?
Enterprise AI conversations stall when the entry point is wrong. Pick the sentence that matches your situation.
We have an idea.
→ AI STRATEGY
We have a POC.
→ AI PRODUCTIONIZATION
We have an AI application.
→ LLMOPS / AGENTOPS
We need autonomous workflows.
→ AGENTIC AI
Our AI is too expensive.
→ AI FINOPS
Our AI can't reach enterprise knowledge.
→ RAG & KNOWLEDGE
We can't send data to public AI.
→ SOVEREIGN AI
We need to run AI securely.
→ AI SECURITY
Design Your GPU Environment
Fulfil your AI ambitions and transform your enterprise with dZGaaS, where intelligence capitalizes business value.
30 MINUTES WITH AN ARCHITECT · BRING YOUR HARDEST CONSTRAINT