What are Reference Workloads?

Reference workloads are pre-built, production-ready encrypted compute applications that demonstrate the power of Fully Homomorphic Encryption in real-world scenarios. These workloads are fully functional, optimized, and ready to deploy, serving as both practical solutions and examples of best practices for encrypted compute.

Each reference workload is built on LatticaAI's platform, leveraging HEAL (Homomorphic Encryption Abstraction Layer) and GPU-accelerated FHE to deliver exceptional performance while maintaining complete data privacy. Whether you need a ready-to-use solution or want to build something custom, our extensible architecture makes it easy.

Available Workloads

Our reference workloads catalog includes production-ready solutions for the most common encrypted compute use cases:

• Encrypted Vector Database - Perform similarity searches and queries on encrypted vector data, perfect for semantic search and RAG applications
• Encrypted ML Inference - Run machine learning inference on encrypted data with support for classification, regression, and predictive models
• Encrypted Analytics - Perform statistical analysis and aggregations on encrypted datasets without exposing raw data
• Custom Workloads - Build your own encrypted workloads using our extensible platform infrastructure

Extensible Architecture

Beyond pre-built workloads, our platform provides the flexibility to build custom encrypted compute solutions tailored to your specific needs. Our extensible architecture ensures you're never limited by what's available out of the box.

With comprehensive SDKs, RESTful APIs, and full documentation, integrating encrypted compute into your applications is straightforward. Leverage HEAL's tensor-based interface for hardware-agnostic optimization, ensuring your workloads automatically benefit from the latest acceleration hardware.

Key Benefits

The reference workloads and extensibility features provide significant advantages:

• Faster time to market - Deploy production-ready encrypted workloads immediately
• Best practices built-in - Learn from optimized, production-tested implementations
• Flexible customization - Extend and modify workloads to fit your unique requirements
• Production-grade performance - All workloads optimized for GPU-accelerated FHE
• Complete privacy - Data remains encrypted throughout computation