AI Infrastructure
Solutions
Enterprise-grade hyperconverged infrastructure platform — the powerful VMware & Nutanix alternative built for AI workloads, hybrid cloud, and disaster recovery at scale.
Arcfra Enterprise Cloud Platform
A complete enterprise infrastructure stack — Gartner-recognized HCI, AI-ready GPU infrastructure, and enterprise-grade backup & DR. The modern VMware alternative built for Malaysian enterprises.
AECP — Enterprise Cloud Platform
Gartner RecognizedFull-Stack Software-Defined Infrastructure
Arcfra Enterprise Cloud Platform (AECP) is a full-stack hyperconverged infrastructure software that unifies compute, storage, networking, and AI workloads into a single management layer. Recognized by Gartner as a representative vendor for HCI and named Top 5 in DCIG VMware Alternatives. Proven by 1,000+ enterprise customers worldwide.
Key Features
- Unified CPU, RAM, GPU, storage & network management
- Supports VM, Kubernetes containers & AI/ML workloads
- Arcfra Virtualization Engine (AVE) — VMware alternative
- Arcfra Block Storage (ABS) with automatic data tiering
- Arcfra Kubernetes Engine (AKE) — production-ready K8s
- Distributed firewall with zero-trust micro-segmentation
- Active-active clustering & asynchronous DR replication
- One-click OS upgrade with no application interruption
Ideal For
Specifications
Neutree is Arcfra's open-source enterprise AI platform deeply integrated with AECP. It provides a unified VM + Kubernetes environment for hybrid AI workloads — spanning model training, fine-tuning, and inference. Supports GPU pool management, model registry, dataset management, and private model-as-a-service deployment.
Key Features
- GPU pool management & resource scheduling
- Private model training, fine-tuning & inference
- Model registry & dataset management
- High-performance block & file storage for AI lifecycle
- Secure data flow from raw datasets to vector databases
- Application-level micro-segmentation
- Unified observability — monitoring, logging & alerting
- Highly available production AI environments
Ideal For
Specifications
Arcfra's native, agentless backup and disaster recovery solution provides flexible data protection with centralized management. Supports stretched active-active clustering (RPO=0, RTO in minutes) and asynchronous replication for three-centers-two-cities DR architecture. Ensures business continuity for mission-critical workloads.
Key Features
- Stretched active-active cluster with automatic failover
- Asynchronous replication to offsite DR cluster
- Three-centers-two-cities multi-level data protection
- Agentless backup — no agents required on VMs
- Centralized backup management console
- Flexible data protection policies
- Disk data checksum & multi-replica redundancy
- Cross-city topology awareness
Ideal For
Specifications
The Smarter Infrastructure Choice
Arcfra delivers enterprise-grade hyperconverged infrastructure with the flexibility, performance, and cost efficiency modern businesses demand.
VMware / Nutanix Alternative
Arcfra delivers enterprise HCI capabilities at a fraction of the cost of VMware or Nutanix, with no vendor lock-in.
AI-Ready Infrastructure
Native GPU support and AI workload optimization make Arcfra the ideal platform for machine learning and data analytics.
Linear Scalability
Start small and scale seamlessly. Add nodes to increase both compute and storage capacity without disruption.
Hybrid Cloud Ready
Extend workloads to AWS, Azure, or GCP with unified management and consistent security policies across environments.
Enterprise Security
Zero-trust architecture, role-based access control, and end-to-end encryption protect your most critical workloads.
Cost Efficiency
Reduce infrastructure TCO by up to 60% compared to traditional three-tier architectures and legacy hypervisors.
Use Cases & Deployments
Arcfra powers diverse workloads across industries in Malaysia and the Asia-Pacific region.
Ready to Modernize Your IT Infrastructure?
Contact our Arcfra specialists for a personalized infrastructure assessment, proof-of-concept, or tailored deployment proposal.