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David Ellison

David Ellison is the Chief Data Scientist for Lenovo ISG. Through Lenovo’s US and European AI Discover Centers, he leads a team that uses cutting-edge AI techniques to deliver solutions for external customers while internally supporting the overall AI strategy for the World Wide Infrastructure Solutions Group. Before joining Lenovo, he ran an international scientific analysis and equipment company and worked as a Data Scientist for the US Postal Service. Previous to that, he received a PhD in Biomedical Engineering from Johns Hopkins University. He has numerous publications in top tier journals including two in the Proceedings of the National Academy of the Sciences.

David Ellison has authored the following 12 documents. Click one of the links below to show just the documents of that type.

All Documents by David Ellison

Breaking Barriers in AI Inference: Lenovo ThinkSystem Servers Shine in MLPerf v4.1 - Unleashing the Power of AI-Ready Infrastructure
Article, first published 11 Oct 2024

Accelerating RAG Pipelines for Enterprise LLM Applications using OpenVINO on the Lenovo ThinkSystem SR650 V3 with 5th Gen Intel Xeon Scalable Processors
Solution Brief, first published 16 Sep 2024

Deploy and Scale Generative AI models using TorchServe in Enterprises
Solution Brief, first published 7 Aug 2024

Deploy and Scale Generative AI in Enterprises with Lenovo ThinkSystem SR650 V3 on Red Hat OpenShift, Accelerated by Intel
Solution Brief, first published 26 Feb 2024, last updated 28 Feb 2024

Deploy and Scale Generative AI in Enterprises with Lenovo ThinkSystem SR650 V3
Solution Brief, first published 18 Dec 2023

Run AI at the Edge: MicroK8s with Charmed Kubeflow on Lenovo ThinkEdge Servers
Planning / Implementation, first published 17 Jan 2024

Responsible AI: From Managing Risk to Driving Business Value
Article, first published 13 Oct 2023

Lenovo Promotes AI Implementation with Best-In-Class Performance with the Latest MLPerf Results
Article, first published 12 Sep 2023

Continuing Growth Through Advancements in AI Training Performance with MLCommons
Article, first published 10 Aug 2023

Autonomous Vehicles Use New AI Algorithm to Learn from Changes in the Environment
Article, first published 14 Apr 2023

Exceeding the Expectations of AI Performance Through MLPerf
Article, first published 7 Apr 2023

LiCO: Simplifying AI Development
Positioning Information, first published 27 Feb 2019

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