AI Lakehouse

Any AI Workload, on Any Infrastructure with the AI Lakehouse - Future proof your data infrastructure for AI, and integrate with your existing data ecosystem with the Hopsworks AI Lakehouse; supporting all Open Table Formats (Hudi, Delta and Iceberg) to enable any use cases for AI. 

Hopsworks integrate with the Lakehouse and provides the necessary infrastructure to support all your AI applications and workload requirements without re-architecturing your whole data ecosystem; keep your data where it is, build your applications on Hopsworks. 

Unified Architecture for Modern AI Data Pipelines

• Native Open Table Format Support: Work directly with Delta, Iceberg, and Hudi tables without migrations or conversions. Keep your data in its original format while gaining AI capabilities.
  
• Infrastructure Flexibility: Deploy on-premises, in the cloud, or in hybrid environments. Scale your compute resources independently from storage to optimize costs.
  
• Seamless Integration: Connect to your existing data lakes, warehouses, and streaming platforms. Hopsworks complements your current investments rather than replacing them.

End-to-End Data Management for AI

• Real-time & Batch Processing: Process both streaming and historical data with the same platform. Support both real-time inferencing and batch training workloads.
  
• Built-in Data Quality: Enforce data validation, schema evolution, and quality controls. Ensure your AI systems receive reliable, high-quality data.
  
• Time Travel & Versioning: Access historical versions of your data for reproducible training, audit requirements, or rollback scenarios. Track data lineage across transformations.
  

AI-Optimized Performance

• High-throughput Storage Engine :Achieve maximum performance for AI workloads with NVMe tiering and intelligent caching. Eliminate data transfer bottlenecks.
  
• Query Acceleration: Optimize ML workloads with indexing, statistics, and query optimization. Get faster insights and training cycles.
  
• GPU Data Processing: Push data processing to GPUs with RAPIDS integration. Process and transform data where it makes the most sense.

Enterprise-Ready Foundation

• Comprehensive Security: Protect sensitive data with fine-grained access controls, encryption, and auditing. Meet compliance requirements without compromising usability.
  
• Multi-tenant Architecture: Support multiple teams and use cases on a single platform. Isolate workloads while sharing infrastructure.
  
• Operational Simplicity: Reduce complexity with unified management for data, compute, and AI services. Minimize the operational burden on your teams.
  

Build AI Applications Without Re-architecting

• Keep Your Data Where It Is: Connect to existing data sources without migration. Build AI applications that work with your current data infrastructure.
  
• Incremental Adoption Path: Start with specific use cases and expand as needed. No need for disruptive, all-at-once transitions.
  
• Future-Proof Investment: Support evolving AI technologies through open standards and APIs. Adapt to new frameworks and tools as they emerge.