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Supported configurations ​

This page summarizes the primary platforms and capabilities supported by HyperFileLens Community. Support can vary by release, so also review the release notes for the version you plan to deploy.

Runtime platforms ​

ComponentOperating systemArchitecture
Community control planeUbuntu 20.04, 22.04, or 24.04amd64
AgentLinuxamd64, arm64
AgentWindowsamd64
AgentmacOSamd64, arm64
ProxyUbuntu 20.04, 22.04, or 24.04amd64
Private Data GatewayUbuntu 20.04, 22.04, or 24.04amd64

See System Requirements for CPU, memory, and disk requirements.

Windows file content backup does not imply complete preservation of Windows file attributes or NTFS permissions. See Windows file attribute and permission limitations before relying on a restore for ACL or metadata fidelity.

Backup sources ​

TypeSupported configuration
Host filesLinux, Windows, and macOS hosts running an Agent
NASSMB or NFS shares connected through a Proxy; a supported Linux backup host may connect directly only when the product explicitly offers that option

HyperFileLens provides file-level backup. To create a consistent backup of a database, virtual machine, or application, first use the appropriate system or application tools to produce a file-level copy that HyperFileLens can protect.

Target storage ​

TypeSupported configuration
Object storageAWS S3, Alibaba Cloud OSS, Huawei Cloud OBS, and supported S3-compatible services
NASSMB or NFS shares connected through a Proxy; a supported Linux backup host may connect directly only when the product explicitly offers that option
Local storageA dedicated directory on a Proxy host

An S3-compatible service must support the S3 APIs, TLS behavior, addressing format, and permissions used by HyperFileLens. Implementations differ between providers, so validate connection, backup, and restore before production use.

Insights ​

Insights uses available snapshots from existing backup configurations. Creating a session requires an available default AI model and an online Data Gateway. Image and scanned-document processing also requires a supported multimodal model.

File understanding depends on the current AI engine, configured model, and file condition. Encrypted, corrupted, oversized, or policy-excluded files may not be processed.