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LATTICA BLOG

News & Updates

Latest insights, announcements, and developments from LatticaAI

32,412x Faster: GPU-Accelerated FHE Performance Milestone
Performance October 2024

32,412x Faster: GPU-Accelerated FHE Performance Milestone

LatticaAI has achieved a major performance breakthrough, delivering encrypted compute that's 32,412x faster than baseline implementations. This milestone makes FHE practical for production workloads.

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Introducing Reference Workloads & Extensibility
Platform Update December 2024

Introducing Reference Workloads & Extensibility

We're excited to announce our new reference workloads catalog and extensible architecture. Developers can now leverage pre-built encrypted workloads or build custom solutions using our comprehensive SDKs and APIs.

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HEAL: The Future of Hardware-Agnostic FHE
Technology November 2024

HEAL: The Future of Hardware-Agnostic FHE

Our patented Homomorphic Encryption Abstraction Layer (HEAL) is revolutionizing how encrypted compute interfaces with acceleration hardware. Discover how HEAL ensures your workloads automatically benefit from the latest hardware innovations.

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Privacy-Preserving AI: Real-World Applications
Use Cases September 2024

Privacy-Preserving AI: Real-World Applications

Explore how organizations are using encrypted compute to enable privacy-preserving AI applications. From healthcare data analysis to financial services, learn about the transformative potential of FHE.

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Platform Launch: Production-Grade Encrypted Compute
Announcement August 2024

Platform Launch: Production-Grade Encrypted Compute

LatticaAI's encrypted compute platform is now available for production deployments. Built on GPU-accelerated FHE and HEAL, the platform provides everything needed to deploy, manage, and scale encrypted workloads.

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The State of Fully Homomorphic Encryption in 2024
Research July 2024

The State of Fully Homomorphic Encryption in 2024

A comprehensive overview of the current state of FHE technology, recent advances, and what the future holds. We discuss performance improvements, new use cases, and the growing adoption of encrypted compute.

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