Nvidia Launches New Data Science Platform For Enterprise Built On Top Of RAPIDS

Machine learning and data analysis allow companies to make smarter decisions with greater operational efficiency. Additionally, this provides firms with higher levels of customer satisfaction. This is something that companies need for managing valuable insights and predictions to power businesses.

Nevertheless, enterprise machine learning is built on top of a legacy architecture that was not designed for the current demand of the market. GPU-accelerated data science enables for a faster method that would improve speed and efficiency of data science initiatives.

Some of the projects that were enhanced with it are the Oak Ridge National Labs, retailers that will be reducing their error rate on their inventory forecast models, a streaming media company that increased its speed in ML training, and many others.

Furthermore, it is also difficult for firms to find data science talent and also hard to retain if they do not feel comfortable doing their work with the best tools in the market. There are new solutions that would allow companies not to lose their talent and restrict them with the tools they have.

During the GTC Europe event, Nvidia launched a new data science platform for enterprises that is built on top of RAPIDS. As reported by Forbes, the solution will be accelerating the end to end machine learning workflow. This would enable for an accelerated data science pipeline improving the company’s efficiency by reducing model development times.

The solution has been built on NVIDIA CUDA, combining GPU-optimized suite of libraries focused on supercharging data preparation and ML trading.

NVIDIA has been operating in the crypto mining market for several years. 2017 was one of the best moments for the company when they were able to sell a large number of devices to the market. However, after the bear market experienced by the crypto market in 2018, the company has been experiencing a drop in sales and revenue.

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