High-performance data infrastructure
Storage Built for the Way You Work With Data
Parallel file. Unified storage. AI and HPC data platforms.
Applied Data Systems designs storage around the workload—not around a single vendor. From high-performance parallel file systems to open-source scale-out storage, ADS architects, integrates, validates, and supports the complete data platform.
Choose from IBM Storage Scale, Custom Ceph, and VDURA—or let ADS determine the architecture that best fits your performance, capacity, protocol, and lifecycle requirements.
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Storage Portfolio
Three Platforms. Different Strengths. One Integration Partner.
ADS helps match the storage architecture to the workload instead of forcing every environment onto the same platform.
PARALLEL FILE + GLOBAL DATA
IBM Storage Scale
For large AI, HPC, analytics, and research environments that need sustained parallel performance and a global data platform.
IBM Storage Scale delivers high-performance access to unstructured data and is designed to scale across large, distributed environments.
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OPEN-SOURCE UNIFIED STORAGE
Custom Ceph Storage
For organizations that want object, block, and file services from one software-defined platform without proprietary storage lock-in.
Ceph unifies object, block, and file storage in a distributed cluster built from widely available hardware. ADS sizes, tunes, integrates, and burns in the platform before deployment.
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AI + HPC DATA PLATFORM
VDURA Data Platform
For AI and HPC environments that need high parallel throughput, scale-out performance, hardware flexibility, and resilient data services.
VDURA combines a parallel file system with a resilient object layer in a software-defined architecture designed to keep data moving across demanding AI and HPC pipelines.
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Find the Right Fit
Start With the Workload, Not the Logo
The best storage platform depends on how your applications access data, how fast that data must move, what protocols are required, and how the environment will grow.
ADS evaluates the full data path—from application and client behavior through network, media, protection, and lifecycle requirements—before recommending an architecture.
That makes it possible to optimize for performance and capacity while avoiding unnecessary complexity or overprovisioning.
Best Fit
IBM Storage Scale
Custom Ceph
VDURA
Primary strength
Parallel file + global data
Unified object, block + file
Parallel AI/HPC data platform
Typical focus
AI, HPC, analytics, research
Private cloud, object, virtualization, mixed protocols
AI factories, HPC, simulation, research
Architecture
Scale-out software-defined platform
Distributed open-source storage
Software-defined parallel storage
Why choose it
Enterprise parallel performance at scale
Flexibility, protocol consolidation, open economics
High throughput with flexible hardware and tiering
The ADS Difference
More Than a Storage Reseller
ADS delivers storage as part of a balanced technical-computing platform, integrating compute, network, storage, and software as one system.
✓
Workload-Driven Architecture
Capacity, throughput, metadata behavior, client count, protocols, and growth targets drive the design.
✓
Complete System Integration
ADS validates storage alongside CPU/GPU compute, high-speed networking, rack design, and software dependencies.
✓
Performance Validation
Configuration, burn-in, and functional testing happen before the solution reaches your production environment.
✓
Single Point of Support
ADS helps coordinate issues across the stack so customers are not left troubleshooting between vendors.
Workloads
Storage for Data-Intensive Computing
Designed for environments where storage performance directly affects compute utilization, research velocity, and time to insight.
AI Training & Inference
Feed GPU clusters with high-throughput data access while supporting checkpoints, datasets, models, and inference pipelines.
Scientific Computing
Support parallel applications, large MPI jobs, simulation output, and shared research datasets.
Life Sciences
Handle sequencing data, pipelines, image data, and rapidly growing research repositories.
Object & Data Lakes
Build scalable repositories for unstructured data, cloud-native applications, archives, and analytics.
Virtualization & Private Cloud
Deliver software-defined block and object services for flexible infrastructure and cloud-like operations.
Research & National Labs
Deploy shared, scalable storage for diverse technical workloads with demanding availability requirements.
Let’s Architect the Data Layer
Not Sure Which Storage Platform Fits?
Bring ADS your workload, data profile, performance targets, growth curve, and budget. We’ll help determine whether IBM Storage Scale, Ceph, VDURA, or another architecture is the right fit.
Request a Storage Consultation
Applied Data Systems
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