Cloudian HyperScale AIDP v1.1: Broader Data Reach and End-to-End Security

Cloudian releases HyperScale AIDP v1.1, a turnkey on-premises AI appliance that lets enterprises run production AI on their own infrastructure while cutting public cloud AI costs by up to 60%.

Enterprises moving AI projects from pilot to production face three persistent obstacles: unstructured data scattered across file shares and object stores, strict access policies that limit what models can see, and runaway recurring fees from public cloud AI services. Cloudian HyperScale AIDP v1.1 is designed to remove all three barriers in a single pre-integrated system, giving CIOs and CISOs a sovereign alternative to public cloud AI without sacrificing performance or governance.

What was announced

On June 9, 2026, Cloudian, Inc. announced HyperScale AIDP v1.1, an update to its turnkey on-premises AI appliance. The release introduces production-ready NVIDIA AI Blueprints, native ingest from NFS file shares and object stores, and end-to-end user- and group-level access controls across the full AI pipeline. HyperScale AIDP v1.1 is validated on NVIDIA-Certified GPU server platforms from both Supermicro and Lenovo, giving customers dual-vendor flexibility.

According to Cloudian, the platform saves customers around 60% versus public cloud AI by avoiding recurring token, egress, and inference fees that scale unpredictably with usage.

Why this matters

For CIOs, CISOs, IT directors and procurement leaders, HyperScale AIDP v1.1 addresses the operational realities of enterprise AI rather than headline benchmarks. Sensitive contracts, personnel records, regulated data, and proprietary research can become part of active AI workflows without creating new exposure paths. Permissions follow the user from ingest to inference, so each query returns only the content the requesting user is authorized to see — a requirement for regulated industries and sovereign environments.

The dual-OEM validation on Supermicro and Lenovo reduces supply and continuity risk and lets organizations align AI deployments with existing hardware standards, support relationships, and procurement frameworks.

Enterprise AI succeeds or fails on data access. HyperScale AIDP v1.1 reaches across the data estates customers already have, and it carries permissions all the way through to inference — so the right people get the right answers, and nothing more

Technical details

• NVIDIA AI Blueprint for Enterprise Document RAG: turns contracts, policies and technical documentation into a conversational knowledge base with source citations.
• NVIDIA Metropolis VSS Blueprint: automatic, near real-time indexing of live and recorded video for security, compliance and quality control use cases.
• Multi-source ingest: native ingestion from NFS file shares and S3 object stores, eliminating migration or consolidation projects.
• Storage efficiency: indexing and vectorization without making a second data copy — only embeddings are stored.
• End-to-end security: user- and group-level access controls across ingest, indexing, retrieval and response, including the vector database itself.
• Built-in stack: S3-native object storage with an integrated Milvus vector database.
• Validated platforms: NVIDIA-Certified GPU servers from Supermicro and Lenovo.

Softprom and Cloudian

Softprom is the official distributor of Cloudian. Our team helps enterprises design, deploy and scale HyperScale AIDP and HyperStore solutions, integrate them with existing data estates, and align AI infrastructure with security and compliance requirements.

This content was prepared as part of the Softprom DistriFlow project — an automated system for monitoring and adapting vendor news. Original source: original article.