April 4, 2023
HPE today rolled out its first file storage offering for GreenLake, its everything-as-a-service offering. The new HPE GreenLake for File Storage offering pairs Read more…
November 1, 2022
Companies that were looking to store tens of petabytes of unstructured data previously had two main flavors of storage they could turn to: object storage and di Read more…
May 4, 2022
Panasas started off specializing in storage hardware, but more than 20 years on, the company is placing a big bet on its software stack to meet storage needs for high-performance applications. The company on Wednesday introduced new storage products called ActiveStor Ultra XL and ActiveStor Flash for high-performance computing and artificial intelligence applications. The products are built on the company’s PanFS file... Read more…
December 8, 2021
Being part of the SC Conference enhances your career – whether you are presenting new research, showcasing innovative work or practices, helping teach the nex Read more…
October 6, 2021
Micron today introduced its 7400 series solid state drives (SSDs), a new family of fourth-generation PCIe-based NVMe devices that should give datacenter operato Read more…
July 7, 2021
An increasingly watched benchmark is the IO500 which measures storage system performance with an updated IO500 list released twice a year in concert with ISC an Read more…
July 1, 2021
Storage supplier DDN today made several announcements across its product line. Foremost was introduction of EXAScaler 6, the latest version of its Lustre-based Read more…
April 28, 2021
Software-defined storage vendor Excelero has been helping customers share NVMe storage across networks both on-premises or in private clouds for years, but now, Read more…
The increasing complexity of electric vehicles result in large and complex computational models for simulations that demand enormous compute resources. On-premises high-performance computing (HPC) clusters and computer-aided engineering (CAE) tools are commonly used but some limitations occur when the models are too big or when multiple iterations need to be done in a very short term, leading to a lack of available compute resources. In this hybrid approach, cloud computing offers a flexible and cost-effective alternative, allowing engineers to utilize the latest hardware and software on-demand. Ansys Gateway powered by AWS, a cloud-based simulation software platform, drives efficiencies in automotive engineering simulations. Complete Ansys simulation and CAE/CAD developments can be managed in the cloud with access to AWS’s latest hardware instances, providing significant runtime acceleration.
Two recent studies show how Ansys Gateway powered by AWS can balance run times and costs, making it a compelling solution for automotive development.
Five Recommendations to Optimize Data Pipelines
When building AI systems at scale, managing the flow of data can make or break a business. The various stages of the AI data pipeline pose unique challenges that can disrupt or misdirect the flow of data, ultimately impacting the effectiveness of AI storage and systems.
With so many applications and diverse requirements for data types, management systems, workloads, and compliance regulations, these challenges are only amplified. Without a clear, continuous flow of data throughout the AI data lifecycle, AI models can perform poorly or even dangerously.
To ensure your AI systems are optimized, follow these five essential steps to eliminate bottlenecks and maximize efficiency.
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