Los Alamos, NM, Aug. 28, 2025—After moving to a classified network earlier this year, the Venado supercomputer at Los Alamos National Laboratory is now running OpenAI’s latest o-series reasoning models to accelerate national security research. Venado, which uses NVIDIA GH200 Grace Hopper Superchips, is the 19th-fastest supercomputer in the world and serves as a shared resource for researchers […]
With Hammerspace and LANL’s Gary Grider at ISC 2025: Parallel Data Storage for Advanced Simulations
August 19, 2025 by
Parallel file system legend Gary Gride of Los Alamos National Lab, and Molly Presley, a well-known executive in the high performance storage sector and SVP at Hammerspace, joined us at the ISC 2025 conference in Hamburg.
Open Flash Platform Storage Initiative Aims to Cut AI Infrastructure Costs by 50%
July 15, 2025 by
Today, the Open Flash Platform initiative was launched with inaugural members Hammerspace, the Linux community, Los Alamos National Laboratory, ScaleFlux, SK Hynix, and Xsight Systems.
HPC News Bytes Podcast 20240826: Hot Chips, NM Senate Race and LANL, Underground Nuclear Power for AI, AMD Buys ZT Systems
August 26, 2024 by
Good August morning to you! We offer a quick (5:32) round-up of HPC-AI news: Hot Chips 2024, LANL exascale power needs enters NM politics, underground nuclear power for AI, AMD-ZT Systems deal
ALPINE/zfp Addresses Analysis, Visualization and Data Reduction Needs for Exascale Science Applications
October 17, 2023 by
With the advent of the exascale supercomputing era, computational scientists can run simulations at higher resolutions, add more detailed physical phenomena, increase the size of the physical problems, and couple multiple codes spanning both physical and temporal scales. These exascale simulations generate ever-increasing amounts of data. The Data and Visualization efforts in the US Department […]
Los Alamos Reports Hardware Approach Offers New Quantum Computing Paradigm
August 15, 2023 by
Los Alamost National Laboratory reported today that a potentially game-changing theoretical approach to quantum computing hardware avoids some of the complexity in quantum….
@HPCpodcast: HPC Storage Rock Star Gary Grider Talks How We Got Here and Where We’re Going
April 22, 2022 by
http://orionx.net/wp-content/uploads/2022/04/021@HPCpodcas_Storage-with-Gary-Grider_20220420.mp3 Shahin and I are in violent agreement: if you’re interested in high performance storage, if major milestone in the development of HPC storage technology over the last 30-plus years interests you, if you want a peek at future forward leaps in HPC storage technology, then this is an @HPCpodcast episode for you. Our special […]
Los Alamos Names 3 Athena Engineering Scholars
October 25, 2021 by
The Athena Engineering Scholars Program is designed to inspire women to achieve their full potential as future leaders in engineering. The Athena Program is open to all LANL women, students and staff who are interested in pursuing a graduate engineering degree. The program offers educational assistance for engineering graduate degrees to highly qualified and motivated […]
Intel Launches 2nd Loihi Neuromorphic Chip; LANL Investigating ‘Trade-offs’ Between Quantum and Neuromorphic Computing
September 30, 2021 by
Intel today released an update on its neuromorphic computing strategy, introducing Loihi 2, its second-generation neuromorphic research chip, and Lava, an open-source software framework for developing “neuro-inspired” applications. Intel said Loihi 2 incorporates learnings from three years of use with the first-generation Loihi chip and leverages progress in Intel’s process technology and asynchronous design methods. The new […]
DOE: $26M Awarded to Labs, Universities to Advance Chemical Materials Sciences with Data Science
September 1, 2021 by
The U.S. Department of Energy (DOE) announced $26 million in research funding to harness research tools for clean energy solutions. The 10 projects announced today will help scientists to unleash the power of data science —including artificial intelligence and machine learning (AI/ML)—on experiments, theory, and computation-based methods to tackle the basic science challenges that will […]
