Solutions

Use Case

AI / ML Training & Inference

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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.
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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