High Performance Storage System

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Incremental Scalability
Based on storage needs and deployment schedules, HPSS scales incrementally by adding computer, network and storage resources. A single HPSS namespace can scale from petabytes of data to exabytes of data, from millions of files to billions of files, and from a few file-creates per second to thousands of file-creates per second.
About HPSS   :    Publicly disclosed HPSS deployments   :   Table   or   Map

These are the publicly disclosed HPSS deployments that have accumulated a petabyte or more of data.

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Come meet with us!
2021 HUF - VIRTUAL
COVID-19 has disrupted the 2021 HPSS User Forum (HUF) and the Karlsruhe Institute of Technology (KIT) in Karlsruhe, Germany is no longer hosting the event. The 2021 HUF will be hosted online for six days spread across three weeks in October 2021 with no admission cost. This will be a great opportunity to hear from HPSS users, collaboration developers, testers, support folks and leadership (from IBM and DOE Labs) - Learn More. Please contact us if you are not a customer but would like to attend.

HPSS @ SC21
The 2021 international conference for high performance computing, networking, storage and analysis will be in St. Louis, MO from November 15th through 18th, 2021 - Learn More. As we do each year, we are scheduling and meeting with customers via IBM Single Client Briefings. Please contact your local IBM client executive or contact us to schedule a HPSS Single Client Briefing to meet with the IBM business and technical leaders of HPSS.

HPSS @ STS 2022
The 4th Annual Storage Technology Showcase is in the planning stage, but HPSS expects to support the event in March of 2022. Check out their web site - Learn More. We expect an update in early fall 2021.

HPSS @ MSST 2022
The 37th International Conference on Massive Storage Systems and Technology will be in Santa Clara, California in May of 2022 - Learn More. Please contact us if you would like to meet with the IBM business and technical leaders of HPSS at Santa Clara University.

What's New?
HPSS 9.2 Release - HPSS 9.2 was released on May 11th, 2021 and introduces eight new features and numerous minor updates.

Atos Press Release - Atos boosts Météo-France’s data storage capacity to over 1 exabyte in 2025 to improve numerical modeling and climate predictions. Want to read more?

HUF 2020 - The HPSS User Forum was hosted virtually at no cost in October 2020.

HPSS 9.1 Release - HPSS 9.1 was released on September 24th, 2020 and introduces a few new features.

HPSS 8.3 Release - HPSS 8.3 was released on March 31st, 2020 and introduces one new feature and many minor changes.

HPSS 8.2 Release - HPSS 8.2 was released on December 6th, 2019 and introduces a few new features.

New Globus DSI - Version 2.9 of the HPSS DSI is now available from the GitHub release page. It provides the capability to resume interrupted Globus transfers.

Lots Of Data - In November 2019 IBM/HPSS delivered a system to a customer in Canada and demonstrated a sustained tape ingest rate of 11,574 MB/sec (1 PB/day peak tape ingest) while simultaneously demonstrating a sustained tape recall rate of 8,832 MB/sec (791 TB/day peak tape recall). HPSS pushed four 13-frame IBM TS4500 tape libraries (scheduled to house over 500 PB of tape media) to 2,168 mounts/hour.

HPSS 8.1 Release - HPSS 8.1 was released on October 1st, 2019 and introduces a few new features.

July 2019 - Argonne Team Breaks Record for Globus Data Movement from the Summit supercomputer at Oak Ridge National Laboratory to HPSS tape.

Capacity Leader - ECMWF (European Center for Medium-Range Weather Forecasts) has a single HPSS namespace with over 567 PB spanning over 399 million files.

File-Count Leader - LLNL (Lawrence Livermore National Laboratory) has a single HPSS namespace with over 65 PB spanning 1.540 billion files.

Explosive data growth - HPSS Collaboration leadership from Lawrence Berkeley National Laboratory's National Energy Research Scientific Computing Center (NERSC) helped author the "NERSC Storage 2020" report, and NERSC trusts HPSS to meet their immediate and long term data storage challenges.

Older News - Want to read more?
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