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ThinkParQ investing in taking BeeGFS to the cloud and refining solutions for HPC and AI workloads
ThinkParQ, the company behind the leading parallel file system, BeeGFS, is proud to announce it is investing in building out new cloud capabilities with the recent appointment of Joe McCormick to its engineering team
ThinkParQ Announces Internal Promotions, New Marketing Strategy
ThinkParQ, the company behind the leading parallel file system BeeGFS, announced today its new go-to-market strategy along with the expansion of its go to market team, including key promotions of integral team members.
BeeGFS Receives Honors in 2022 HPCwire Readers’ and Editors’ Choice Awards
BeeGFS has been recognized in the annual HPCwire Readers’ and Editors’ Choice Awards, presented at the 2022 International Conference for High Performance Computing, Networking, Storage, and Analysis (SC22), in Dallas, Texas. The list of winners was revealed at the SC22 HPCwire booth
BeeGFS and Dell Accelerate the Arizona State University Supercomputer SOL.
Read the latest #HPCwire news about BeeGFS and Dell are accelerating Arizona State University Supercomputer ‘SOL’
“The system is networked with Nvidia’s 200GB/s HDR InfiniBand and supported by 4PB of Dell BeeGFS scratch storage as well as 2PB of Dell PowerScale storage. (We expect this all might add up to a few petaflops of theoretical peak performance.)”
Blog! NetApp hybrid cloud storage and NVIDIA DGX SuperPOD: A match made in AI heaven Powered by BeeGFS!
NetApp has been collaborating with NVIDIA in AI infrastructure solutions since 2018, enabling enterprises to infuse their businesses with data-driven insights. Today, NetApp is announcing the certification of NetApp all-flash NVMe storage and BeeGFS parallel file system, with NVIDIA DGX SuperPOD.
ThinkParQ & Huawei collaborate to Deliver Arm Compatibility and Support.
ThinkParQ the company behind the world leading parallel file system BeeGFS announced today its collaboration with global information and communications technology provider Huawei, to deliver Arm compatibility and support.
The Arm architecture has made its way from mobile processors to become a strong alternative to the traditional x86_64 architecture in the desktop and server computing market. With its high efficiency and large core counts, it is well suited for highly parallel workloads, making it an ideal choice for compute nodes but also for metadata and storage servers.
BeeGFS Wins the 2021 HPCwire Readers’ Choice: Best HPC Storage Product or Technology.
ThinkParQ’s leading parallel file system BeeGFS has been recognized in the annual HPCwire Readers’ and Editors’ Choice Awards, presented at the 2021 International Conference for High Performance Computing, Networking, Storage and Analysis (SC21), in St. Louis
ELEMENTS delivers highest ever benchmark score in practical video storage tests
ELEMENTS, provider of innovative, high-performance media storage and server systems for post-production and broadcast, has achieved the highest ever performance metrics in the SPEC VDA benchmarks. This is a result which guarantees unprecedented performance for the company’s video storage systems. This remarkable performance is achieved using the BeeGFS file system, developed by technology R&D specialist ThinkParQ.
ThinkParQ and Eduline accelerates Yeditepe University with BeeGFS
ThinkParQ, the company behind the leading parallel file system BeeGFS, is pleased to announce the recent installation of BeeGFS at Yeditepe University in Istanbul, Turkey. With the ease of use, speed, and scalability of BeeGFS, Yeditepe University’s Material Science and Nontechnology Engineering department experience the benefits of their recent BeeGFS deployment.
BeeGFS for Artifical Intelligence: Fact versus fiction (A blog post from NetApp)
“Recently I’ve seen articles trying to sow FUD (fear, uncertainty, and doubt) where BeeGFS and other parallel file systems fit for machine learning and deep learning workloads, so I thought I’d do my part to help set the record straight”. Joe McCormick, NetApp.
Azure Reports 1 TB/s Cloud Parallel Filesystem with BeeGFS
Using the BeeOND (“BeeGFS On Demand”) filesystem running across 300 HBv2 VMs and more than 250 terabytes of NVMe storage capacity, Azure’s Paul Edwards achieved 1.46 TB/s of read performance and 456 GB/s of write performance.
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