Today NVIDIA introduced NVIDIA Magnum IO, a suite of software to help data scientists and AI and high performance computing researchers process massive amounts of data in minutes, rather than hours. “Optimized to eliminate storage and input/output bottlenecks, Magnum IO delivers up to 20x faster data processing for multi-server, multi-GPU computing nodes when working with massive datasets to carry out complex financial analysis, climate modeling and other HPC workloads.”
Aiden Lab Chooses WEKA to Accelerate Genomics Research
September 18, 2019 by
Today WekaIO announced that Aiden Lab at the Baylor College of Medicine, a leading genome research facility, has selected the Weka File System (WekaFS) to accelerate its genomics research. “WekaFS has delivered a 3x improvement in performance at Aiden Lab and is enabling it to use its cloud infrastructure more effectively. WekaFS will improve overall productivity and empower researchers to become more efficient at analyzing results.”
Penguin Computing Breaks STAC-M3 Performance Records with WekaIO
June 11, 2019 by
Today Penguin Computing and WekaIO announced record performance on the STAC-M3 Benchmark. The STAC-M3 Antuco and Kanaga Benchmark Suites are the industry standard for testing solutions that enable high-speed analytics on time series data, such as tick-by-tick market data. “By combining Penguin Computing Relion servers and FrostByte Storage with the WekaIO File System, the companies have affirmed that this integrated solution is ideal for algorithmic trading and quantitative analysis workloads, common in financial services.”
Supermicro teams with WekaIO for Deep Learning Performance Density
June 3, 2019 by
The BigTwin Server featuring WekaFS offering is a milestone in our relationship with Supermicro,” said Barbara Murphy, Vice President of Marketing at WekaIO. “The solution is already in use by many customers with deep learning applications and exceeding expectations for performance and value. By offering this preconfigured solution with Supermicro, we’ll be able to simplify the customers’ acquisition experience.”
Preliminary Agenda Posted for HP-CAST at ISC 2019
May 17, 2019 by
Hewlett Packard Enterprise has posted their Structural Agenda for HP-CAST at ISC 2019. The event takes place June 14-15 in Frankfurt, Germany. “HP-CAST provides guidance to Hewlett Packard Enterprise on the essential development and support issues for HPC systems.”
Mellanox to Accelerate EDA Workloads with WekaIO
May 9, 2019 by
Today WekaIO announced that Mellanox has selected the WekaIO Matrix file system to accelerate application performance scaling for their EDA workloads. “Mellanox is a forward-thinking company, we continuously improve our workflows by incorporating new deep learning techniques into our data-intensive EDA workloads, so we needed a modern file system to support our initiatives,” said Udi Weinstein, Chief Information Officer of Mellanox.
AI Critical Measures: Time to Value and Insights
March 19, 2019 by
AI is a game changer for industries today but achieving AI success contains two critical factors to consider — time to value and time to insights. Time to value is the metric that looks at the time it takes to realize the value of a product, solution or offering. Time to insight is a key measure for how long it takes to gain value from use of the product, solution or offering.
WekaIO Matrix Cluster Excels on SPEC SFS 2014 Benchmark
February 13, 2019 by
Today WekaIO announced the results of the independent SPEC SFS 2014 benchmark testing of its flagship WekaIO Matrix product. “Having established itself in the number one position for the SPEC SFS 2014 software build in January 2019, WekaIO has now posted winning results for all remaining benchmarks in the SPEC test suite. In addition to unbeatable performance and scalability, WekaIO has demonstrated extraordinarily low latencies across the benchmark suite, reaffirming Matrix is the world’s fastest parallel file system.”
WekaIO Beats Big Systems on the IO-500 10 Node Challenge
February 6, 2019 by
Today WekaIO announced record performance on the IO-500 10 Node Challenge benchmark. The Virtual Institute for I/O has placed WekaIO Matrix in first place on the IO-500 10 Node Challenge list, beating out massive supercomputer installations. VI4IO republished the 10 Node Challenge list with the new rankings indicating Matrix as number one—31 percent faster than IBM Spectrum Scale and 85 percent faster than DDN Lustre.
Univa and WekaIO team to speed HPC Workloads in the Cloud
November 22, 2018 by
Last week at SC18 in Dallas, Univa announced a partnership with WekaIO, a high-performance scale-out file system storage company, to help enterprise customers accelerate the migration of their HPC workloads to the cloud. “Univa is working with WekaIO to integrate one of the industry’s fastest parallel file systems into its Navops Launch and offer customers a comprehensive, high-performance, hybrid cloud solution for HPC and machine learning workloads.”
