The public cloud path
Fast to start, but sensitive workloads can hit data residency, latency, bandwidth cost, and vendor coupling limits.
Limited controlSolution
Private Cloud
Build a secure, high-performance private cloud for VMs, containers, and AI workloads with Arcfra Enterprise Cloud Platform.
Cloud-like Operations Self-service, resource pooling, unified management, and lifecycle control.
Fully Control Run dedicated infrastructure across data center, colocation, and edge.
Enterprise Ready Infrastructure Superior reliability, high availability to host mission-critical applications.
Built-in Security Zero trust architecture to secure applications in VMs or containers.
AI-ready Foundation Support VM, container, and GPU-accelerated workloads on one platform.
Predictable & Lower TCO Reduce licensing, hardware, and operational overhead.
Why Private Cloud Now
Control the workloads that matter most.
Enterprises are rethinking where critical workloads should run. Public cloud is still valuable, but not every application belongs there. Sensitive data, latency-critical systems, predictable high-utilization workloads, regulated operations, and private AI deployments often need dedicated infrastructure with cloud-like operations. A modern private cloud gives IT teams control of on-premises infrastructure with the simplicity, elasticity, and self-service experience expected from cloud platforms.
The legacy suite path
Traditional virtualization platforms are familiar, yet licensing bundles, feature gates, and multi-console operations can slow modernization.
Cost pressureThe open source path
Flexible and powerful, but operating OpenStack, Kubernetes, and storage as one stable platform requires significant engineering depth.
Integration burdenThe Arcfra path
A full-stack, modular private cloud platform that combines cloud-like operations with enterprise-grade infrastructure control.
Simplified modern standardArcfra Enterprise Cloud Platform
One platform for VMs, containers, and private AI.
AECP brings together compute, distributed storage, networking, security, Kubernetes, data protection, and unified management. Start with core virtualization and storage, then expand into full-stack cloud infrastructure as requirements evolve. With AECP, enterprises can run traditional applications, cloud-native services, and AI/ML workloads on a consistent infrastructure foundation across core data centers, edge sites, and colocation environments.
One platform for VMs, containers, and AI
Support production virtual machines, Kubernetes workloads, and AI infrastructure needs on a unified platform instead of managing separate stacks.
Lower and more predictable TCO
Use streamlined software packages, broad x86 hardware compatibility, and full-stack integration to reduce licensing, hardware, and operational overhead.
Built-in security
Delivers a Zero Trust, compliance-ready private cloud through six integrated security pillars — covering IAM, micro-segmentation and auto-quarantine — enabling enterprises to meet GDPR, NIST CSF, and ISO 27001 requirements.
Cloud-like operations, without cloud lock-in
Deliver self-service, elastic resource pools, centralized management, policy-based control, and simplified lifecycle operations while keeping infrastructure under your control.
Enterprise-grade reliability and performance
Deliver enterprise-grade infrastructure resilience through cluster-level HA and non-disruptive rolling upgrades; ABS provides NVMe-class storage performance; Platform fully validated for mission-critical workloads like Oracle RAC, SAP, Microsoft SQL Server, etc.
Business continuity by design
Protect critical workloads with backup, replication, active-active capabilities, disaster recovery, and multi-level data availability mechanisms.
AECP Full Stack Capabilities
Modular By DesignCompute
Native virtualization with AVE, VMware ESXi support, VM lifecycle management, HA, DRS, GPU-ready infrastructure, and support for diverse enterprise workloads.
Storage
Distributed block and file storage with scale-out expansion, snapshots, replication, erasure coding, multi-copy protection, and high-performance architecture.
Networking & Security
VPC, load balancing, distributed firewall, micro-segmentation, VM-container network integration, and policy-based security controls.
Kubernetes
Integrated Kubernetes service for building, managing, and operating containerized applications with connected compute, storage, and network resources.
Data Protection & DR
Agentless backup, disaster recovery, async replication, stretched active-active clusters, and workload protection across sites.
Unified Management
Single management console for cluster lifecycle, monitoring, alerts, health checks, upgrades, migration, and cross-site operations.
Use Cases
Designed for the workloads private cloud does best.
Arcfra helps infrastructure teams focus private cloud investment on clear business, application, and risk needs instead of overbuilding a custom platform from scratch.
VMware alternative
Modernize virtualization infrastructure with a simpler, full-stack platform and a more predictable cost model.
Regulated and data-sensitive workloads
Support finance, healthcare, public sector, manufacturing, and other industries where data control, compliance, and operational sovereignty matter.
Enterprise application modernization
Run legacy and modern applications side by side while introducing Kubernetes, cloud networking, and automation at your own pace.
Edge and distributed cloud
Deploy consistent infrastructure across factories, branches, edge sites, and colocation locations with centralized operations.
Private AI infrastructure
Bring AI workloads closer to sensitive enterprise data with infrastructure for VM-based, container-based, and GPU-accelerated environments.
Disaster recovery and business continuity
Build resilient private cloud infrastructure for critical applications across local, metro, and remote sites.
Why Arcfra
The simplified modern standard.
Arcfra gives enterprises a practical path between three imperfect choices: the cost and bundling pressure of legacy virtualization suites, the engineering burden of open source stacks, and the lock-in risks of public cloud. With AECP, private cloud becomes easier to deploy, operate, scale, and evolve.
Traditional private cloud problem
Complex product suites and service stitching.
Arcfra brings simplicity
Integrated full-stack product with simplified package.
Plug and playModular by designSuperior simplicityLow TCO
Cost uncertainty
Feature gates, add-ons, hardware constraints, and subscription pressure.
Predictable platform economics
Modular packaging and broad hardware support help control long-term TCO.
Operational silos
Separate consoles and teams for virtualization, storage, network, and containers.
Single pane of glass
Unified management for cluster lifecycle, monitoring, alerts, health, and migration.
AI infrastructure friction
Sensitive data, GPU operations, and mixed VM-container environments are hard to align.
AI-ready cloud foundation
Support traditional, agile, and AI workloads on one software-defined platform.
Migration risk
Enterprises need modernization without forcing every workload into a disruptive path.
Practical evolution
Start small with priority workloads, then expand capabilities as the business case proves out.
Build a private cloud that is easier to deploy, operate, and scale.
Whether you are replacing VMware, modernizing data center infrastructure, preparing for AI workloads, or extending cloud operations to the edge, Arcfra helps you move with clarity and control.