Hazelcast, the leading in-memory computing platform that delivers the System of Now™, announced a strategic co-engineering and co-innovation collaboration with Intel to accelerate the performance of real-time applications, artificial intelligence (AI) and internet of things (IoT) solutions for enterprises. At the center of this initiative is Project Veyron, which is focused on accelerating Hazelcast technologies on Intel platforms, including the 2nd Gen Intel® Xeon® Scalable processor and Intel® Optane™ DC Persistent Memory.
Hazelcast and Intel: Accelerating AI
Real-time machine learning (ML) applications require instant access to an immense flow of data from many sources. This data must be continuously compiled, processed and served to algorithms that power AI. Ultra-fast processing is critical for Mobile, Cloud, IoT and AI/ML-based applications that leverage both streaming data and existing data stores. The objective of Project Veyron is to focus on optimizing the performance of the Hazelcast in-memory computing platform for the industry-leading 2nd Gen Intel Xeon Scalable processor and Intel Optane DC Persistent Memory.
Project Veyron centers on cooperative engineering work to enhance the compatibility of Hazelcast and Intel offerings. The joint work will enable Hazelcast to take advantage of the high parallelism in the Intel architecture and address the higher data density and persistence needs of edge, cloud, and IoT.
From this collaboration with Intel, Hazelcast intends to provide an integrated Edge-to-Cloud IoT processing solution. The goal is to provide enterprises with high-speed in-memory capabilities and end-to-end security. The result is a full-fledged IoT solution that achieves maximum impact for a variety of industries, including financial services, telecommunications, energy, manufacturing, and entertainment.
Transforming Architectures for Real-Time Applications and Analytics
Modern applications must process more data at a greater scale while delivering a real-time experience across online, mobile, IoT and brick-and-mortar interactions. Simultaneously, applications are expected to seamlessly incorporate advanced analytics, AI and machine learning. This challenge demands in-memory-optimized solutions that can store and process data at low-latency, as well as zero downtime reliability. This partnership will establish unparalleled levels of performance while increasing data density and lowering total cost of ownership (TCO).