Beyond RAID and Mirroring: A Next-Generation Approach to Data Resilience

Imagine being forced to buy twice the storage you'll ever use, or watch your AI workloads grind to a halt when petabyte-scale data growth from training models exhausts capacity mid-project? Many teams remember when a few well-tuned arrays and RAID groups felt like more than enough, long before AI pipelines and container sprawl started eating capacity for breakfast. And then there’s reliability. While mirroring can combat risk, it comes at a cost: reduced data capacity efficiency proportional to the number of copies — effectively halving usable storage space.

As organizations grapple with exploding volumes from AI, containers, and hybrid cloud apps, an alternative to legacy architectures is essential.

Innovating Beyond RAID and Mirroring

Storage admins and cloud architects face relentless pressure to deliver high-performance protection amid petabyte-scale growth and sub-millisecond SLAs — at cost, and without risk.

Polyphase methods address the shortcomings of traditional RAID rebuilds and simple mirroring by providing efficient rebuild capability for large disks in Industry 4.0 and SDS settings. Because Polyphase EC is more storage efficient than mirroring, it becomes feasible to incorporate more parity fragments (e.g., 4D+2P) without massive hardware overhead.

Additionally, Polyphase EC was created specifically to handle modern, distributed workloads—cloud, containers, AI, and large‑scale clusters—where failures can occur at the node, rack, or site level. Traditional RAID cannot protect against these broader failure domains.

An Alternative to RAID and Mirroring

Enter VSP One SDS with Hitachi Polyphase Erasure Coding (HPEC), a patented approach that combines fast reads with efficient parity, achieving up to 75% capacity utilization.​

HPEC redefines erasure coding within VSP One SDS (Hitachi Vantara's flexible software-defined storage for on-premise or cloud) freeing up data center cabinet space, lowering risk, and reducing heating/cooling demands.

VSP One SDS can be deployed with a single management experience across on-premises, edge, and public cloud environments. From there, storage teams can define policies that automatically apply HPEC profiles, mirroring, 4D+1P, or 4D+2P based on the performance, resilience, and efficiency requirements of each workload or tenant.

HPEC provides a practical way to target AI, analytics, and large-scale file or object repositories where capacity pressure and performance sensitivity are highest. It can migrate a representative workload into a VSP One SDS cluster configured with HPEC 4D+1P for optimal balance, analyze telemetry from VSP 360 to validate latency and utilization gains, and then roll out dual-parity 4D+2P for mission-critical or regulated datasets. It can also leverage automation and APIs to incorporate HPEC-enabled storage classes into CI/CD pipelines, Kubernetes storage classes, and hybrid cloud data services, making efficient, resilient protection the default rather than the exception.

Real-World Value: Reduce Risk, Save Money, & Maintain Storage

Modern AI, analytics, and hybrid cloud environments demand storage that can scale efficiently without compromising performance or resilience. HPEC delivers exactly that—bringing together high efficiency, high availability, and distributed performance to accelerate AI pipelines, strengthen protection, and boost reduction. HPEC is best suited for:

• AI/ML Workloads: Powers VSP One SDS for training large models on petabyte datasets, aggregated from multiple sources, replicating them into a single resilient source, while local reads accelerate inference and 93%+ efficiency frees capacity for more epochs without overprovisioning.​
• Hybrid Cloud Infrastructure (HCI) and Container Scaling: Minimizes network overhead for linear scaling of both performance and capacity in Kubernetes or HCI clusters powering AI pipelines, without IOPS bottlenecks.
• Industry 4.0 and Analytics: Local reads boost throughput for data lakes feeding AI, where mirroring wastes capacity.​
• Cloud Cost Reduction: 4D+2P suits SAP/Oracle with AI integrations, offering dual-fault tolerance and 99.9999% uptime via two-way replication, cutting cloud costs 40% through compression/thin provisioning.​
• TCO Optimization: Extends commodity hardware life for AI data repositories, avoids rip-and-replace, and optimizes hybrid mobility, enabling seamless scaling of performance and capacity as needed, e.g., a manufacturer expands 3x HCI clusters at mirroring speeds while slashing latency 40%.
• Continuity for Long-Time Hitachi Customers: Organizations that trusted earlier Hitachi arrays for bulletproof reliability can carry that same confidence into VSP One SDS with HPEC, preserving the resilience they remember, while gaining the efficiency and flexibility that modern AI and hybrid cloud workloads demand.

Get Started with VSP One SDS and HPEC

HPEC's flexibility highlights Hitachi Vantara's SDS leadership, letting you tailor protection without trade-offs, especially for AI's insatiable data demands.

Ready to optimize? Download the HPEC white paper or start your free trial.