A $10 billion ‘secret’ cloud computing contract that was recently won by Amazon Web Services from the U.S. National Security Agency quickly came under fire from Microsoft Corp., which has pro …
In conjunction with GTC21, Dell Technologies today announced new supercomputers at universities across DiRAC (Distributed Research utilizing Advanced Computing) in the UK with plans to explore us …
February 23, 2021
As IBM continues its massive pivot to the cloud, its Power-microprocessor-based products are being mainstreamed and realigned with the corporate-wide strategy. Read more…
July 23, 2020
The Royal Bank of Canada (RBC) and its AI research arm Borealis AI have teamed with Red Hat and Nvidia to develop an AI computing platform with the goal of impr Read more…
July 2, 2020
Earlier this week the OpenPOWER Foundation announced the contribution of IBM’s A21 Power processor core design to the open source community. Roughly this time Read more…
August 20, 2019
The enterprise version of the Singularity HPC container platform released this week by Sylabs is designed to allow users to create, secure and share the high-en Read more…
February 13, 2019
Almost exactly ten years to the day from publishing of their widely-read, seminal paper on cloud computing, UC Berkeley researchers have issued another ambitious examination of cloud computing - Cloud Programming Simplified: A Berkeley View on Serverless Computing. The new work heralds the rise of ‘serverless computing’ as the next dominant phase of cloud computing. Read more…
May 9, 2018
At Tabor Communications' annual Advanced Scale Forum (ASF) held this week in Austin, the focus was on enterprise adoption of HPC-class technologies and high performance data analytics (HPDA). It’s a confab that brings together end users (CIOs, IT planners, department heads) and vendors and encourages... Read more…
May 3, 2018
Backed by Cisco and emerging from stealth mode, startup RStor has an ambitious plan to be a true multi-cloud solution, billing its platform as the first to secu Read more…
February 27, 2018
Rigetti Computing last week reported upgrading its Forest developer environment for quantum computing. Forest provides developers with access to Rigetti’s clo Read more…
Many organizations looking to meet their CAE HPC requirements focus on the HPC on-premises hardware or cloud options. But one surprise that many find is that the bulk of their HPC total cost of ownership (TCO) comes from the complexity of integrating HPC software with CAE applications and in perfectly orchestrating the many technologies to use the hardware and CAE licenses optimally.
This white paper discusses how TotalCAE can significantly reduce TCO by offering turnkey, on-premises HPC systems and public cloud HPC solutions specifically for CAE simulation workloads that include integrated technology and software. The solutions, which TotalCAE fully manages, have allowed its clients to deploy hybrid HPC environments that deliver significant savings of up to 80%, faster-running workflows, and peace of mind since their entire solution is managed by professionals well-versed in HPC, cloud, and CAE technologies.
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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