A new computing paradigm that addresses memory limited problems, provides performance "at scale" for large scale AI, ML, Graph Analytics
Lucata leverages patented migrating thread technology to massively scale unified memory and conduct high performance, multi-hop analytics, including exhaustive breadth-first search (BFS), on unpruned and unsharded databases with 1 trillion vertices and beyond. Organizations can now use their existing graph database software or custom graph solutions to analyze deeper connections on much larger graphs than ever before possible. Lucata solutions support groundbreaking graph analytics and improved machine learning and AI for organizations in financial services, cybersecurity, blockchain, healthcare, pharmaceuticals, telecommunications, ecommerce, government and more. The company has offices in Palo Alto, New York City, and South Bend, Ind. For more information, visit www.Lucata.com.Key technical claims:1. Data doesn’t move, processing context moves to the data in a global unified address space.2. Latency of both network and memory access are hidden due to the migrating threads and multithreaded Lucata cores.3. Energy efficient high density memory architecture.4. Drastic reduction in OS intervention.5. Architecture doesn't rely on data locality for optimal performance.6. Linear performance growth with hardware scale up to 64,000 nodes.7. Single shared address space up to 18 Exabytes.
Announced Date | Round | Money Raised | Number of Investors | Lead Investors | Post Valuation | |
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Aug 1, 2021 | Grant | $255.91K | 1 | National Science Foundation | — | Detail |
Apr 22, 2021 | Series B | $11.93M | 2 | — | — | Detail |
Investor Name | Lead Investor | Funding Round |
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National Science Foundation | Yes | Grant |
Maulick Capital | — | Series B |
Middleburg Capital Development | — | Series B |