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Speakers

Charlotte Trueman

Compute, Storage, and Networking Editor at Datacenter Dynamics, DatacenterDynamics

Charlotte Trueman

Charlotte Trueman

Compute, Storage, and Networking Editor at Datacenter Dynamics, DatacenterDynamics

Charlotte is the Compute, Storage, and Networking Editor at DCD. Previously, she was a senior writer at IDG, writing for Computerworld, CIO, and NetworkWorld.

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Case Study: Above the cloud: GEICO's on-prem data center journey

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  • Networking
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Gary Grider

Gary Grider

HPC Division Leader, Los Alamos National Laboratory

J Metz

Technical Director - Systems Design, AMD

J Metz Headshot

J Metz

Technical Director - Systems Design, AMD

J is a Technical Director for Systems Design for AMD and holds several roles of influence in the tech industry. He is currently serving his 4th term as Chair of the Board of Directors of SNIA, as well as the inaugural Chair of the Ultra Ethernet Consortium formed in 2023.

Recognized as a leading storage networking expert, J is an evangelist for all related technologies and has a unique ability to dissect and explain complex concepts and strategies. He is passionate about the inner workings and application of emerging technologies. He does so by coordinating and leading strategic initiatives related to systems architecture, including storage and networking.

J has previously held roles in both the startup ecosystem and Fortune 100 companies as a Field CTO, R&D Engineer, Solutions Architect, and Systems Engineer. His extensive leadership across several key industry standards groups, SNIA, and former board member of the Fibre Channel Industry Association (FCIA), and Non-Volatile Memory Express (NVMe). He was crucial in the founding of the Ultra Ethernet Consortium (UEC), one of the fastest-growing projects in the Linux Foundation.
J is a sought-after entertaining presenter and a prolific writer. He has won multiple awards as a speaker and author, writing over 300 articles and giving presentations and webinars attended by over 10,000 people.

A popular blogger and active on X, his areas of expertise include high-performance storage and networking solutions. He earned his PhD from the University of Georgia.

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Nilesh Shah

Strategic Advisor

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Nilesh Shah

Strategic Advisor

Nilesh drives Business Development at ZeroPoint Technologies. He advises several companies in the Semiconductor, Data Center AI and Memory space. He contributes regularly to standards bodies like SNIA, OCP, JEDEC, RISC-V, CXL Consortium. He is regularly invited to speak at Conferences, and has led multiple panels and featured in Analyst/ Press interviews.

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DCD>Debate: NVIncible - Can the current chip monopoly be challenged?

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Closing Major Panel: Between a rock and hard-ware place: How to stay ahead of obsolescence despite rising costs

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Alan Bumgarner

Director of AI Technology, Solidigm

Alan Bumbgarner

Alan Bumgarner

Director of AI Technology, Solidigm

Alan Bumgarner began his career at Intel Corporation in Folsom, CA more than 20 years ago. Since then, his roles included front line technical support, remote server management of multiple Intel datacenters, product/channel/technical marketing, field sales, and strategic product planning and management.  These roles took him from California, to New Jersey, Texas, and Oregon, and finally back to Folsom, CA. Alan currently holds a position as Director of AI Technology for Storage Products in Solidigm’s Datacenter Products Group.  He earned a Bachelor of Science in Business Administration Systems from the University of Phoenix.  In his free time he likes to ski/bike/hike, work on cars and enjoys cooking.

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DCD>Debate: NVIncible - Can the current chip monopoly be challenged?

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How am I going to train my new $72,000,000,000 AI model? Where am I going to keep all the data so it’s as secure as can be but hyper-accessible at the same time? Handling storage requirements for modern HPC-AI workloads is a monumental task as higher and higher capacity, speed and reliability are needed for adequate speed to market for AI.

Can your storage hardware withstand the oncoming surge in data volume? How can enterprises with more stringent regulatory standards around data management stay competitive? Will your storage stumble at the AI inference hurdle?

Join our panel as we discover:

  • Forging Resilience: How can you bolster your storage to accommodate the increasing demand for large workloads whilst reducing data loss and downtime?
  • Embedding Agility: Can your storage hardware provide the low latency and rapid access needed to test new models?
  • Ensuring Security: How can you ensure your data is protected from ransomware without impinging on availability for AI?