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The Critical Need for AI Data Infrastructure

Across industries, AI is the key technology trend influencing boardroom and IT decisions. Whether your company is using predictive or generative AI (GenAI), Kubernetes is foundational for successful AI/ML workflows. 

While most organizations building with AI focus on accelerated compute, models, and applications, data and data infrastructure like Kubernetes storage is often overlooked. Training data, inference, and fine-tuning happens continuously, making effective data management crucial for ensuring that AI applications run quickly, accurately, and cost-effectively.

The challenge for most enterprises is data and data infrastructure

Data Accuracy & Consistency

Data accuracy and consistency are important, but siloed storage and data drift can contribute to hallucinations. Data sets are often duplicated leading to inconsistency as well as cost and storage inefficiencies.

Data Access & Security

Developers and data scientists want simple, self-service access to data storage and management without having to submit a ticket or send a slack message while enterprises want portability across environments. Maintaining the balance between data access and data security is paramount.

Cost Optimization

As these AI models become increasingly resource-intensive, enterprises must find a way to balance the challenges of supporting these models – from ingress/egress costs to wasted GPU resources – while avoiding overcommitting to expensive, costly data infrastructure investments.

The Container Data Management Platform
for AI

Common, Consistent Data Set

Portworx delivers unified data management with enterprise-wide data consistency, running seamlessly in any Kubernetes environment—whether cloud, on-premises, hybrid, or multi-cloud. This ensures teams have consistent access to data, no matter their location.

  • Synchronize data with low latency across clusters
  • Minimize copies and data drift
  • Retrieve from common dataset in RAG model
Consistent data

Self-service for users

Portworx gives developers and data scientists simple, self-service access to data storage and management, while providing platform teams with the proper tooling for comprehensive data protection and security of data across the enterprise.

  • Fast, on-demand data infrastructure
  • Data mobility across any environment
  • App-aware protection from failures
Accelerate Development

Lower Costs, Higher Performance

Portworx enables companies to abstract the underlying storage layer to create storage pools that maximize performance and minimize cost. With automated scaling, Portworx ensures just-in-time storage availability, eliminating the need for costly long-term cloud storage commitments

  • Localize data and minimize ingress and egress fees
  • Reduce token-based cloud pricing
  • Enable direct GPU access, faster training and inference
threat
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Analyst Report
IDC MarketScape Names Pure Storage a Leader in Container Data Management