Adam DeConinck

  • @ajdecon
  • Making big computers work
  • he/him
  • Denver, CO, USA
Adam DeConinck is a physicist-turned-systems-engineer, who once upon a time realized that he found the computers he was using to run his analysis more interesting than his research project. He turned to computing and never looked back, but has mostly focused on computing systems that enable scientific researchers to do their work. 

Adam's professional experience includes helping to build and support some of the largest computing systems in the world, including being on-call for fixing them when they were broken.

He has strong opinions about distributed systems design; monitoring and observability; how to build an effective on-call rotation; and how to deploy a computing cluster without driving yourself to distraction. 
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I'm available for
2021
Jul 01, 2021
Transferred to a new role as a Senior Product Architect in the Enterprise Products org at NVIDIA!

My new role focuses on the design of high-performance computing systems for scientific research and machine learning, both on-premises and in the cloud. For example, I'm working extensively on NVIDIA DGX SuperPOD cluster architecture and deployments.
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Senior Product Architect, NVIDIA
Jun 30, 2021
Transferred out of the Solutions Architecture and Engineering team at NVIDIA
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Senior Solutions Architect, NVIDIA
Apr 12, 2021
NVIDIA announced the new NVIDIA DGX SuperPOD product!

Significantly for me, this announcement revealed several customer sites where I helped deploy the new systems, including NAVER, Recursion, MTS, and VinAI.
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Jan 27, 2021
NCAR announces its new supercomputer (later named Derecho)!

This supercomputer includes 82 nodes with NVIDIA A100 GPUs.

I contributed to the RFP response to propose the design of this system.
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2020
Jul 02, 2020
Moderated a panel on “Integrating Cloud Tools to HPC Workflows”, breakout session at NVIDIA HPC Summit Digital, July 2020.
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2019
Feb 25, 2019
Excited to join NVIDIA as Senior Solutions Architect! 🎉

This role focused on working with customers building high-performance computing systems, including Department of Energy customers as well as other large cluster deployments.
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Senior Solutions Architect, NVIDIA
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