Storage
AI Infrastructure — AI
AI storage delivers high-throughput data access — feeding GPUs at scale with the massive datasets that training and inference demand.
Technologies available for this scope
What organizations face today
- Throughput — feeding hungry accelerators
- Scale — petabyte-scale training data
- Data pipelines — efficient data loading
- Cost — balancing performance and capacity
- Data locality — keeping data near compute
Future Challenges
Parallel file systems
Ultra-high-throughput AI storage.
GPU-direct storage
Data straight to the accelerator.
AI-driven caching
Smart prefetch of training data.
Tiered AI storage
Hot data fast, cold data cheap.
Data lakehouse for AI
Unified data foundation.
A Virtuous Cycle of Services
Services define the WHAT — the desired action according to the service type. They follow a virtuous cycle aligned with your Storage initiatives.
Define
Knowledge Transfer- Deliverable
We define a Storage skills development plan covering automation, security and observability.
Teach
Knowledge Transfer- Videos recorded session
- Deliverable
We deliver technical Storage sessions tailored to your teams' level and objectives.
Validate
Knowledge Transfer- Deliverable
We validate Storage knowledge through practical exercises and real-world scenarios.
Evaluate
Knowledge Transfer- Deliverable
We evaluate Storage skills and identify improvement areas for continuous progression.
Mentor
Knowledge Transfer- Deliverable
We provide Storage technical mentoring for troubleshooting, design and optimization.
Inform
Knowledge Transfer- Webinar
- Deliverable
We keep you informed about Storage trends, best practices and emerging technologies.
AI & Automation
AI and automation enhance every aspect of your Storage scope: detection, analysis, configuration, remediation, prediction and optimization.
- Throughput optimization
- Capacity forecasting
- Access pattern analysis
- Cost optimization