Solution
AI Infrastructure
Stable, lightweight, and flexible IT infrastructure with unified support for both virtualized and containerized AI workloads.

Lower Costs

Open, flexible deployment with testing mechanisms and resource reuse to reduce costs and boost ROI.

Deliver Real Value

Scenario-driven, all-in-one solution that streamlines efficiency and drives business outcomes.

Accelerate Deployment

End-to-end delivery, automated optimization, and a unified visual platform speed up model launch and simplify ops.

Ensure Reliability

High-performance architecture with integrated container/virtualization/security tech ensures stable, secure, multi-model AI operations.

A Unified Infrastructure
for Your AI Workloads

With Arcfra Enterprise Cloud Platform, your workloads gain on-demand CPU and GPU resources across virtualized and containerized environments, supported by high-performance block and file storage.

Building on this foundation, the Arcfra AI Infrastructure Solution integrates Neutree with enterprise-grade infrastructure to unify model management, inference, and resource scheduling. Through native AECP integration, it delivers hybrid scheduling, distributed storage, security, and observability—enabling efficient, scalable AI deployment for real-world business needs.

Discover Neutree
Arcfra’s open-source AI platform project
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Arcfra AI infrastructure overview diagram

Flexible Deployment for
Every Scenario

Seamlessly run workloads anywhere—from R&D labs and edge devices to full-scale data centers. Whether on mainstream OS or Kubernetes clusters, it supports lightweight models at the edge and large-scale clusters in the core.

Compatible with mainstream OS and K8s environments
Fits R&D testing, PoC, and production rollout
Edge-ready for small/mid models; scalable for large-model clusters
Deployment scenarios across edge, R&D, PoC, and production

Full-Stack Support for
Real Business Impact

Accelerate AI adoption across internal operations and customer-facing services with end-to-end infrastructure support.

Internal efficiency: knowledge bases, smart assistants
Business enablement: medical triage, intelligent investment research
Infrastructure designed around real-world AI application needs
Illustration of end-to-end AI infrastructure use cases

Enterprise-Grade AI Foundation

A deeply integrated platform combining Neutree AI and AECP to deliver unified, secure, and scalable infrastructure for hybrid AI workloads—from training to fine-tuning to inference.

Unified VM + Kubernetes infrastructure for all AI workloads
High-performance block & file storage for the full AI data lifecycle
Secure data flow from raw data → labeled data → model registry → vector database
App-level micro-segmentation and traffic visualization
Unified observability covering monitoring, logging, and alerts
Built for highly available, intelligent production environments
Diagram of hybrid AI workloads and infrastructure layers
Customer Success

ConnectWave

ConnectWave, a leading e-commerce solution provider in Korea, needed unified orchestration for model training, fine-tuning, and inference across high-concurrency workloads. By adopting Arcfra's lightweight AI infrastructure solution, they built a private hybrid environment that supports both VM and Kubernetes workloads—covering their full AI workflow end to end.

Read the full ConnectWave case study
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Key Outcomes
Reduced operational complexity and overall costs
Improved stability, efficiency, and control of AI environments
Strengthened foundation for secure, scalable intelligent services
Now powering intelligent features across consumer, seller, and cross-border e-commerce systems
ConnectWave logo

Next Steps

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