NVIDIA Acquires Bright Computing, Addressing a Major Issue for HPC Buyers
Authors: Mark Nossokoff, Alex Norton, Melissa Riddle, Thomas Sorensen, Earl Joseph
Publication Date: 1 202022
Length: 4 pages
HPC has long been recognized as indispensable for advancing scientific research, providing more timely and accurate weather forecasting, building better products, and enabling broader adoption of technical computing for AI-driven training and inference. At the same time, HPC has also been recognized as being extremely complex to set up, operate, and maintain. According to recent Hyperion Research studies, over half of the overall HPC market identified the lack of staffing and ease-of-use related issues as barriers for them to acquire additional HPC-based solutions. NVIDIA, a leading HPC hardware component supplier, has announced that it is addressing this issue by acquiring Bright Computing, a leader in software for managing high-performance computing systems used by more than 700 organizations worldwide.
Department of Energy Announces Request for Proposal for Exascale Computing Platforms to be Delivered Starting in 2021
Alex Larzelere, Bob Sorensen, Earl Joseph, Steve Conway and Alex Norton
This Quick Take looks at the recent announcement by the Department of Energy (DOE) of the release of a Request for Proposal (RFP) for exascale systems to be installed at Oak Ridge National Laboratory (ORNL) and Lawrence Livermore National Laboratory (LLNL) in the 2021-2022 time frame. The RFP also says that a third system (different from the ORNL computer) may be installed at Argonne National Laboratory (ANL) in 2022.
April 2018 | Quick Take
IBM’s Q System One: One More Piece of the Larger Puzzle
IBM's recent announcement of their new Q System One universal quantum computer is yet another milestone in the firm's long-term commitment to transitioning quantum computing (QC) hardware from one-off research status into a capable commercial offering. Although the new Q System One, as announced, does not demonstrate any significant advances in current quantum computing capability, as measured by the number of qubits per system, it does show that IBM can design and manufacture a system that, at the right price, could be attractive to a wide range of users looking to integrate quantum computing into their overall R&D process.
January 2019 | Quick Take