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PROJECTS
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Legacy

COVID-19 Operations

LivIT tackles challenges of workforce safety, telecommuting, cyber security protocols, National Ignition Facility software updates, and more.

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Legacy

LivCloud

The Livermore Information Technology (LivIT) program is the first organization at LLNL to commit to migrating all services and applications to the Amazon Web Services cloud.

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Deterrence in Cyberspace

LLNL’s cyber programs work across a broad sponsor space to develop technologies addressing sophisticated cyber threats directed at national security and civilian critical infrastructure.

PEOPLE
Patrick Craig

Patrick Craig

When Patrick Craig joined LLNL in April 2021, he welcomed the opportunity to engage with employee resource groups (ERGs) he identifies with and reconnect with his own identities.

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Bradley Rodrigues

Bradley Rodrigues has been a member of the Livermore Information Technology’s (LivIT) deployment team since August 2022. Despite not being able to hear or speak, he has found that his IT background…

Screenshot of a gaming stream with Keith Downs on the bottom left

Keith Downs

IT manager Keith Downs has always been tinkering with computers, and much of his adult life has been shaped by his childhood interests.

NEWS
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NLIT 2026 event calendar

LLNL staff are heading to the National Laboratories Information Technology Summit (NLIT) on May 4–7.

LLNL will develop quantum and machine learning-accelerated software tools and apply them to discovering ultra-strong, lightweight magnets that are crucial for electronic motors, generators and high performance information technology.

LLNL to harness quantum computing for next-generation magnets

The Quantum Computing for Computational Chemistry (QC3) program seeks to develop and apply quantum algorithms to accelerate simulations of chemistry and materials science to advance commercial energy applications.

General flowchart of the pipeline for building the Centrifuge reference database based on the BLAST nt database

New nucleotide database could improve microbe identification for science and medicine

LLNL researchers have created new, optimized indices of the nt database that simplify how scientists classify microorganisms found in various samples, significantly improving the ability to identify and understand the myriad microorganisms that inhabit our world.