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Arcfra 2026Q3 Milestones: Tools, Solutions, and Insights for Enterprise VMware Alternative and AI Infrastructure

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In Q3 2026, Arcfra continued to advance its enterprise cloud platform with capabilities for VMware alternatives and AI infrastructure. We introduced tools and solutions to address key post-VMware requirements, including batch VM migration, backup continuity, and VDI modernization, while helping enterprises improve model governance and AI infrastructure resource utilization. We also strengthened collaboration with regional partners and engaged with the market through major industry events, including Tech Week Singapore 2026.

Recognition: Wins Infrastructure and Storage Vendor of the Year at the CRN Channel Awards Asia 2026

Arcfra was recognized as Infrastructure and Storage Vendor of the Year at the CRN Channel Awards Asia 2026. This recognition reflects the growing market impact of Arcfra’s enterprise cloud and infrastructure solutions across the Asia-Pacific region. >>Learn more

Products & Solutions for VMware Alternative

Product Releases: Arcfra Migration Tool 2.0 and Arcfra Data Protection Adapter

To accelerate enterprises’ VMware alternative journey, Arcfra released Arcfra Migration Tool 2.0 and Arcfra Data Protection Adapter. While Arcfra Migration Tool 2.0 aims to simplify batch VMware VM migration and helps teams to configure 100 VMs in minutes, Arcfra Data Protection Adapter connects Arcfra AECP with existing Veeam and Commvault deployments, allowing enterprises to retain familiar backup tools while modernizing VMware architecture with Arcfra AECP.

Modernize the Infrastructure Under Omnissa Horizon with Fully-Certified Arcfra AECP

Arcfra Virtualization Engine is now certified with Omnissa Horizon. Together with Arcfra Block Storage, which was already certified, Arcfra AECP provides a more cost-efficient, performant, and stable foundation for you VDI when compared with VMware. >>Learn more

Whitepaper | Beyond the Hypervisor Swap: Why VMware Replacement Demands Both Platform Breadth and Depth

We also published the whitepaper “Beyond the Hypervisor Swap” to help enterprises evaluate VMware alternatives as a broader platform decision, rather than a simple hypervisor replacement. The paper provides a 2x2 framework for assessing infrastructure breadth, operational depth, and long-term enterprise requirements. >>Download Whitepaper

Products & Solutions for AI Infrastructure

Neutree 1.1 & 1.2: Simplify AI Infrastructure with GPU Virtualization, Model Gateway and Enhanced Operations

Arcfra advanced its AI infrastructure portfolio through the releases of Neutree 1.1 and Neutree 1.2.

  • Neutree 1.1 introduced native GPU virtualization and unified model governance for enterprise AI inference. >>Learn more
  • Neutree 1.2 extended support beyond LLMs to OCR and machine-learning models. It also simplifies day-to-day model operations through features like visual model registry and automated KV-cache and GPU-memory calculation. >>Learn more

Insights for Building an Enterprise AI Platform: From Memory Efficiency to Model Governance

We also share more perspectives on enterprise AI explorations.

  • Memory efficiency as a key metric for agentic AI infrastructure. Arcfra AECP turns resource efficiency into a full-stack capability, not a single-point mechanism. >>Learn more
  • We outlined six challenges in building a private enterprise MaaS platform, spanning model deployment, scaling, governance, observability, and ongoing model operations. >>Learn more
  • We also identified four stages of enterprise AI practices: model serving, unified management, model governance, and performance validation. >>Learn more

Solutions for Building Private Cloud and Sovereign Cloud

Based on Arcfra AECP, enterprises can build a secure, high-performance private cloud and further consolidate sovereign control over data and operations in sensitive environments.

  • Building Private Cloud: Run traditional applications, cloud-native services, and AI/ML workloads on a consistent infrastructure foundation across core data centers, edge sites, and colocation environments. >>Learn more
  • Building Sovereign Cloud: Achieve data sovereignty, operational control, technology autonomy, built-in security, disconnected ready, and predictable TCO on one full-stack platform. >>Learn more

More technical sharings on Arcfra AECP:

Network Topology Visualization in Arcfra AECP: Trace Virtual-to-Physical Network Path in One View

2–3 µs Network Latency on Virtualized Infrastructure: Kernel Bypass NICs with Arcfra AECP

Custom Alert Rules in Arcfra AECP: Provide Tailored Monitoring for Every Virtual Machine

Meet Arcfra Inspector: Enable Self-Service Inspections, Customizable Reports, and Visible Trends

Event Highlights

In Singapore, Arcfra joined Tech Week Singapore 2026, where our technical experts shared insights on building a full-stack, software-defined platform that keeps private clouds simple, cost-effective, secure and ready for AI. We will also attend GovWare 2026 between Oct. 13–15.

In South Korea, together with Omnissa, we held an online webinar Beyond VMware Cost and Performance Concerns: Strategies for Enterprise VDI Infrastructure Transition, sharing insights on how existing hardware can be utilized when transitioning from an existing VMware environment to Arcfra AECP in Omnissa VDI use cases.

About Arcfra

Arcfra simplifies enterprise cloud infrastructure with a full-stack, software-defined platform built for the AI era. We deliver computing, storage, networking, security, Kubernetes, and more — all in one streamlined solution. Supporting VMs, containers, and AI workloads, Arcfra offers future-proof infrastructure trusted by enterprises across e-commerce, finance, and manufacturing. Arcfra is recognized by Gartner as a Representative Vendor in full-stack hyperconverged infrastructure. Learn more at www.arcfra.com.