February 3, 2023
The next-gen Hopper family may be on its way, but that isn’t stopping Nvidia’s popular A100 GPU from leading another benchmark on its way out. This time, it Read more…
March 8, 2012
IBM and Citigroup introduce the Jeopardy-winning supercomputer to the financial industry. Read more…
May 23, 2011
According to a recent report from Excelian, grid computing has finally "grown up" which provides a window for users in the financial services industry to consider (and reconsider) best practices for distributed computing and evaluate variations on old models. Read more…
January 11, 2011
Although Egypt is not exactly the epicenter of high-end computing, a tech startup based in Cairo is looking to make its name in an emerging area of HPC. SilMinds has developed hardware accelerator technology designed to speed up a growing set of financial computing applications. The resulting products represent one of the few hardware-based solutions that support decimal floating point (DFP) math. Read more…
August 16, 2010
For banks, the march to the cloud is gaining momentum, but at this point, it’s only in theory rather than in practice. While expectations about the role of cloud in the industry are optimistic, adoption remains largely in the application development and testing space alone. Read more…
April 29, 2010
Bank of America, Commonwealth Bank of Australia and Deutsche Bank have announced that they are forming an alliance to collaborate for the common goal of attempting to cut back on their general IT infrastructure costs by adopting cloud strategies. 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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