Enterprise-grade, S3-compatible object storage software that scales from terabytes to exabytes within your on-premises infrastructure.
As data volumes grow exponentially and applications multiply—from AI and machine learning to high-resolution media processing—traditional storage architectures often cannot keep pace. Cloudian HyperStore addresses these challenges while maintaining complete control over your data infrastructure and eliminating the performance limitations of legacy systems. Here are 10 key reasons why enterprise IT leaders choose HyperStore for their on-premises storage infrastructure.
1. Exabyte-Scale Architecture
Cloudian HyperStore delivers limitless on-prem scalability, supporting storage environments from terabytes to exabytes. Its peer-to-peer architecture scales seamlessly in both capacity and performance, eliminating costly data migrations and hardware refreshes. Organizations can expand their storage pools by simply adding nodes.
2. Breakthrough Performance
Engineered for demanding enterprise workloads, HyperStore delivers exceptional performance through parallel processing and high-throughput networking capabilities. The platform supports highresolution video ingestion, AI training pipelines, and large-scale object data serving. Integration with NVIDIA GPUDirect Storage eliminates I/O bottlenecks, accelerating data delivery from storage to compute resources for ultra-low latency access.
3. Highest S3 API Compatibility
As an S3-native architecture, HyperStore offers industry-leading fidelity to the AWS S3 API. This ensures seamless integration with existing S3-enabled applications and tools, eliminates the need for code modifications, simplifies migrations, and accelerates deployment timelines. Existing backup, archive, data lake, and AI workflow tools integrate without complexity or compromise
4. AI and Machine Learning Optimization
HyperStore provides high-performance, scalable storage specifically designed for AI and machine learning pipelines. Native S3 compatibility, NVIDIA GPUDirect support, and integration with popular AI frameworks streamline data ingestion, training, and inference processes. The modular architecture supports concurrent access to large datasets with consistent throughput, making it suitable for deep learning workloads across healthcare, finance, and autonomous systems.
5. Secure Multi-Tenancy
Designed for service providers and large enterprises, HyperStore’s multi-tenant architecture delivers secure, isolated environments for different users, departments, or clients. Each tenant maintains its own namespace, access policies, billing, and monitoring dashboards. Rolebased access control and usage metering enable chargeback capabilities, governance, and policy enforcement at enterprise scale.
6. Software-Defined Flexibility
Offered in both appliance-based and fully software-defined solutions, HyperStore delivers enterprise-grade object storage on your choice of hardware. The platform supports bare-metal, virtualized, and containerized environments across data centers and co-located facilities. This approach reduces capital expenditures while avoiding vendor lock-in, creating a flexible, future-proof storage infrastructure.
7. Government-Grade Security
HyperStore meets the highest data protection standards with certifications including FIPS 140-2, plus support for secure multi-tenancy. Key security features include data immutability (WORM), integrated encryption for data at rest and in transit, and identity federation via SAML and Active Directory. The platform is trusted by federal agencies and Fortune 500 enterprises.
8. Globe Geo-Distribution
HyperStore enables data distribution across sites, regions, and countries while maintaining a unified namespace. Builtin geo-replication and metadata management support active-active architectures that ensure data availability and performance regardless of location. This capability is essential for disaster recovery, global team collaboration, and regulatory compliance requirements.
9. Unified & Bimodal Data Access
HyperStore bridges traditional and modern workloads by supporting both interchangeable object and file access through S3 API, NFS, and SMB protocols. This dual-mode capability allows legacy applications to coexist with cloud-native applications on a single platform. Organizations can maintain existing data management workflows while building modern AI applications without requiring separate storage infrastructures.
10. Hybrid Cloud Integration
HyperStore provides comprehensive hybrid cloud support with built-in tiering, replication, and backup capabilities to AWS, Azure, and Google Cloud. Administrators can configure data protection policies per bucket, selecting between replication and erasure coding based on workload requirements. Site-level failover, immutable data support, and seamless cloud integration ensure business continuity while maintaining control over costs and compliance.