Open, flexible deployment with testing mechanisms and resource reuse to reduce costs and boost ROI.
Scenario-driven, all-in-one solution that streamlines efficiency and drives business outcomes.
End-to-end delivery, automated optimization, and a unified visual platform speed up model launch and simplify ops.
High-performance architecture with integrated container/virtualization/security tech ensures stable, secure, multi-model AI operations.
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.

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.

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

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.

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