Solutions

Use Case

AI / ML Training & Inference

Build, train, and deploy AI models on secure, high-performance infrastructure with full control over data, compute, and GPUs.
Coredge enables scalable AI pipelines across cloud, edge, and sovereign environments—without hyperscaler lock-in.

01Train at Scale. Deploy Anywhere. Stay Sovereign.
02What You Can Do
03Why Coredge
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Train at Scale. Deploy Anywhere. Stay Sovereign.

Modern AI requires more than GPUs. It requires orchestration, compliance, observability, cost governance, and deployment flexibility.


Coredge delivers a complete AI lifecycle stack powered by:


  • Dflare AI : Bare-metal GPU cloud for large-scale training & inference
  • Coredge Kubernetes Platform : Production-grade Kubernetes for AI workloads
  • Cloud Orbiter : Multi-cloud and edge orchestration
  • Cirrus Cloud Platform : GPU-enabled private cloud infrastructure
Train at Scale. Deploy Anywhere. Stay Sovereign.
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What You Can Do

  • Train LLMs on multi-GPU clusters with InfiniBand networking
  • Fine-tune models in sovereign environments
  • Deploy inference at edge locations with low latency
  • Monitor model performance & GPU utilization in real time
  • Enforce cost controls with tenant-level governance
What You Can Do
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Why Coredge

  • 100% data residency control
  • No virtualization overhead — direct GPU access
  • Vendor-neutral GPU ecosystem (NVIDIA, AMD, Intel)
  • Built-in observability (Grafana + Prometheus)
  • Compliance-ready architecture (ISO, SOC 2, GDPR, HIPAA readiness)


From experimentation to production, without losing control.

Why Coredge

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Cloud Infrastructure?

Join leading enterprises leveraging sovereign cloud for secure, scalable operations

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