Cloudian Delivers Integrated AI Inferencing and Data Storage Solution to Simplify AI Infrastructure 

Cloudian, Inc., provider of enterprise object storage solutions, announced an integration that combines high-performance storage with AI inferencing capabilities in a single, unified platform that simplifies the infrastructure required to support AI workflows.

HyperStore now features integrated vector database support on one of the industry’s highest-performing object storage platform, delivering a streamlined solution for enterprise AI inferencing workflows while advancing towards a comprehensive AI Data Platform (AIDP) architecture.

This integration addresses the critical challenge enterprises face as AI inferencing workloads scale to production environments. Modern AI applications require massive storage capacity for vector datasets that can reach PBs in size, along with supporting index files and operational logs, while simultaneously demanding ultra-low latency access for real-time inferencing operations. By unifying storage and AI inferencing infrastructure, organizations can eliminate data movement bottlenecks and reduce the complexity of deploying enterprise-scale AI solutions.

“The integration of storage and AI inferencing into a single, efficient platform represents a fundamental shift in how enterprises approach AI infrastructure,” said Neil Stobart, CTO, Cloudian. “This solution directly supports the AI Data Platform vision by providing the foundational storage and inferencing capabilities that modern AI workloads demand, while dramatically simplifying deployment and improving performance.”

The solution leverages Milvus, an advanced open-source vector database, to power similarity search and AI inferencing applications including recommendation systems, computer vision, natural language processing, and retrieval-augmented gen (RAG). Milvus efficiently stores, indexes, and queries high-dimensional vector embeddings generated by ML models, enabling millisecond-level query response times for billion-scale vector datasets.

Key Benefits of Cloudian’s Integrated AI Inferencing Solution

• Unified Architecture: Eliminates the complexity of managing separate storage and inferencing systems, reducing operational overhead and accelerating time-to-production for AI initiatives.
• Performance: Industry-leading object storage read performance of 35GB/s per node enables faster AI model inference and improved application responsiveness.
• Enterprise Scalability: Proven EB-scale object storage seamlessly supports massive vector datasets while maintaining high-performance access for real-time inferencing workloads.
• Cost Efficiency: Integrated solution reduces total cost of ownership compared to deploying separate storage and inferencing platforms, with simplified management and reduced data movement costs.

This advancement also represents a significant step toward realizing the AI Data Platform vision, which envisions unified, accelerated infrastructure that seamlessly integrates data processing, storage, and AI computation. By providing both the storage foundation and inferencing capabilities in a single platform, Cloudian enables enterprises to build comprehensive AI infrastructure that can scale from pilot projects to production workloads.

The integrated AI inferencing and storage solution supports both on-premises and hybrid cloud deployments, giving organizations maximum flexibility in their AI infrastructure strategy. Development teams can leverage existing S3-compatible tools and workflows while benefiting from performance optimizations specifically designed for AI inferencing operations.

Cloudian’s integrated AI inferencing solution is available for evaluation.