What I'd like to cover here goes beyond those AI headlines, however, and involves a special nugget just for folks doing data engineering, analytics and machine learning work with Apache Spark.

The aerospace/defense industry often must solve mission-critical problems as they arise while also planning and designing for the rigors of future workloads. Technology advancements let ...

Every day there are reports of the latest advances in deep learning (DL) from researchers, data scientists, and developers around the world. Less well known is the momentum behind enterprise adoption ...

SE: There seems to be a parallel growth between the adoption of machine learning and GPUs. Is the need for machine learning driving GPU adoption, or are GPUs creating the opportunity to embrace ...

The graphics processing unit-accelerated database market has established itself as a substantial startup niche. However, it’s not clear if or when GPU-accelerated databases will ever move into ...

Hardware acceleration uses specialized hardware components of your computer to perform certain tasks more efficiently than the system’s main processor (CPU) alone could. This is particularly useful ...

Nvidia, together with partners like IBM, HPE, Oracle, Databricks and others, is launching a new open-source platform for data science and machine learning today. Rapids, as the company is calling it, ...

Hewlett Packard Enterprise (HPE) and NVIDIA have partnered to accelerate innovation, combining the extreme compute capabilities of high performance computing (HPC) with the groundbreaking processing ...

Data is now not only cheaper, but more widely available than ever before. Every second there are over 400,000 search engine queries worldwide. Every minute, over 1 million users log into Facebook and ...

We've previously mentioned that NVIDIA has a GPU-boosting surprise in store for October 5th, and though we're not supposed to say anything more, it looks as though German site notebookjournal.de has ...

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