Modernize Your Storage Without Replacing It
Transform fragmented storage into a unified operational data platform that supports AI, hybrid cloud, and traditional enterprise workloads, without disruptive migrations.
Fragmented Data Infrastructure Is Holding Organizations Back
Enterprise data has become fragmented across NAS, object storage, cloud, file servers, and server-local storage. Every new application, cloud deployment, acquisition, or infrastructure refresh creates another silo that must be managed independently.
Over time, this fragmentation increases operational complexity, makes governance more difficult, slows collaboration, and limits an organization’s ability to extract value from its data.
The traditional approach has been to replace existing infrastructure with another storage platform, followed by months of planning, migration, and operational disruption. That often creates another silo instead of solving the underlying problem.
Before: Fragmented Storage Systems
Data is fragmented across storage systems, increasing operational complexity and limiting AI, analytics, and business agility.
NAS
File Servers
Object Storage
Cloud Storage
Server-Local NVMe
Before: Fragmented Storage Systems
Data is fragmented across storage systems, increasing operational complexity and limiting AI, analytics, and business agility.
NAS
File Servers
Object Storage
Cloud Storage
Server-Local NVMe
- Complex to manage
- Difficult to govern and protect
- Limits AI, HPC, and data-intensive workloads
- Limited scale
- No unified view of data
- Hinders hybrid-cloud and multi-cloud agility
- Expensive and time-consuming to modernize
Consolidate Fragmented Storage into a Unified Operational Data Platform
The Hammerspace Data Platform unifies NAS, object storage, cloud storage, file servers, and even server-local NVMe into a single global namespace. Existing storage systems remain in place while governance, access controls, data protection, and policy-driven data orchestration are managed consistently across the entire storage infrastructure.
Instead of replacing infrastructure, organizations unify it. The result is a single operational data platform that supports AI, hybrid cloud, and traditional enterprise workloads while allowing infrastructure to evolve without disrupting access to data.
- Accelerate AI, HPC, and enterprise workloads with scalable performance.
- Unify flash, disk, object, cloud, and tape within a single global namespace.
- Automate policy-driven data placement across silos, sites, and clouds.
- Apply consistent governance, protection, and lifecycle management across all data. See how it works >
After: Hammerspace Unified Data Layer
Unify all your data. Orchestrate it globally. Deliver the right data to the right compute at the right time.
User
Applications
AI / ML
HPC
Analytics
Hammerspace Unified Data Layer
Global Namespace
Access Control & Governance
Data Orchestration & Automation
Data Protection & Resilience
Enterprise Data Services
NAS
File Servers
Object Storage
Cloud Storage
Server-Local NVME
Future Storage
After: Hammerspace Unified Data Layer
Unify all your data. Orchestrate it globally. Deliver the right data to the right compute at the right time.
User
Applications
AI / ML
Analytics
HPC
Hammerspace Unified Data Layer
Global Namespace
Access Control & Governance
Data Orchestration & Automation
Data Protection & Resilience
Enterprise Data Services
NAS
File Servers
Object Storage
Cloud Storage
Server-Local NVME
Future Storage
- Unified access across all storage
- Performance and scale for AI, HPC, analytics, and enterprise workloads
- Enterprise data services across the entire lifecycle
- Hybrid-cloud and multi-cloud agility
- Modernize infrastructure without rip and replace
Modernize Infrastructure for AI Without Rip and Replace
Traditional infrastructure modernization requires months of planning, migration, and disruption before organizations realize any value. The Hammerspace Data Platform takes a different approach. Data-in-Place Assimilation makes existing storage immediately accessible through a unified operational data platform while the data itself remains in place. Organizations begin modernizing immediately instead of waiting for migration projects to finish.