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Blog Post

February 14, 2024

For organizations operating high-performance data centers, cooling is a significant challenge. High-end processor TDPs are also climbing with each generation, and we are rapidly approaching the point where air-cooling will become infeasible. Liquid cooling is an obvious answer but brings new challenges, including cost, maintenance issues, and concerns about leakage and safety. In a recent

January 24, 2024

Machine learning (ML) is used for multiple healthcare and life sciences (HCLS) applications, including medical imaging, protein folding, drug discovery, and gene editing. While Nextflow pipelines (like those in nf-core) are commonly used for genomics, they are also being adopted for machine learning workloads. In this artice, we explain how to build an example Nextflow

December 18, 2022

Financial institutions (FIs) face unprecedented challenges. With increasing consumer expectations and megatrends such as mobile banking, alternative lenders, and cloud computing, banks are under intense pressure. They need to innovate faster, offer new services, and deploy new applications to serve their customers better. Despite these imperatives, data center growth rates have become unsustainable. The need

November 18, 2022

Quantitative analysis refers to the use of mathematical and statistical modeling, measurement, and research to understand and quantify market behaviors. By studying these behaviors, analysts can develop models that predict the prices of financial instruments under different market scenarios. In this whitepaper sponsored by AMD, we present the results of a quantitaitive analysis based on

July 18, 2022

There’s perhaps no field more demanding than modern semiconductor design. In both research and commercial settings, customers expect new electronic devices to be faster, cheaper, smaller, and more energy-efficient with each generation. Semiconductor producers rely on electronic design automation (EDA) tools to realize these improvements. Few understand these challenges better than CEA Tech, the Grenoble-based

In today’s hyper-competitive business environment, data is at the heart of everything we do. Business leaders rely on up-to-date data to better understand their customers and competitors, make better, more informed decisions, and support new business initiatives. This paper examines some of the challenges with existing data pipelines and discuss five considerations for building a