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White Papers now available online


VIEW FOR FREE*


Ceph comes of age with the explosion of AI and ML data By SoftIron


With the growth in AI and ML, there is an increasing requirement for an organisation to store and manage large volumes of data. Ceph can support an organisations requirements for AI and ML by providing a rapidly and horizontally scalable system that can support object, block and file storage to manage the growth of their data. Organisations with inferencing workloads for AI and ML are increasingly reliant on tier-2 storage as the demand for this technology increases. Ceph users using inferencing, image recognition and pattern recognition of scientific data can leverage Ceph’s fault-tolerant design which provides interoperability with other hardware and support for both cloud and on-premise requirements.


Augmented Analytics in R&D DataStories


We live in a time of unprecedented innovation. Product design cycles keep getting shorter, personalized and custom products are becoming the norm and external requirements are changing constantly.


E-Motor Design using Multiphysics Optimization for Porsche AG By Altair


Today, an e-motor cannot be developed just by looking at the motor as an isolated unit; tight requirements concerning the integration into both the complete electric or hybrid drivetrain system and perceived quality must be met.


Data integrity: Audit tails with ease of review By Thermo Fischer Scientific


Learn about the Thermo Scientific™ Chromeleon™ CDS audit trail controls, the regulatory requirements and guidance that they pertain to, and how Chromeleon CDS will ease the review of audit trails.


How the Internet of Things Validates the Lab of the Future By BIOVIA


Imagine a laboratory in the future where all devices and instruments communicate their status, activities and data with each other and with enterprise information systems. Data would be acquired without manual intervention.


*Registration required www.scientific-computing.com/white-papers


SCIENTIFIC COMPUTING WORLD


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