Introduction
For years, NVIDIA has consistently brought innovations in the world of technological advancements. They are known for their focus on bringing better video gaming experiences in several gaming consoles. One of their famous brands is GeForce, a brand that focuses more on creating high-quality hardware necessary for quality video gaming (https://www.nvidia.com/en-us/geforce/). Whether it is in a Playstation or Xbox console, Personal Computers, and Laptops, you name it. GeForce did its best to satisfy several video gaming communities until today.
However, NVIDIA also has several technological products that as much as innovative as Geforce. One of them is their Artificial Intelligence. NVIDIA’s AI runs in several industries, which are restaurants, cybersecurity, healthcare, and several other industries. Their AI services include 1. Data Analytics, 2. Machine Learning, 3. Predictive learning, and 4. Recommender Systems.
Accelerated Data Analytics
NVIDIA Accelerated Data Analytics provides Data Scientists spend less time finishing processes, giving them more time to solve other business problems. They’re also able to analyze multi-terabyte datasets to drive accurate results and quicker reporting. Also, data scientists no longer have to learn new codes and tools to accelerate and scale their existing data science toolchains. (https://www.nvidia.com/en-us/deep-learning-ai/solutions/data-analytics/)
For Data Engineers, NVIDIA Accelerated Data Analytics provides several features that could help their workflow. One of the features is the ability to churn through large-scale data transformations. And deliver high-quality datasets at a fast pace. They can also easily share device memory across a huge number of popular analytics libraries, to avoid costly and time-consuming data copy-over operations. Also, Digital Engineers don’t have to spend countless hours converting files from one format to another, to utilize data formats that work best within businesses.
The NVIDIA Accelerated Data Analytics also helps IT and DevOps Professionals in several assignments. They can leverage several data for making better business decisions, improving organizational performance, and better meeting customer needs. And also able to seamlessly scale from a desktop to multi-node, multi-GPU clusters with a consistent, intuitive architecture.
Accelerated Machine Learning
NVIDIA Accelerated Machine Learning helps businesses understand their customers, build better products and services, and improve operations. Businesses can iterate on and produce solutions faster than ever before, leveraging massive datasets to refine models to pinpoint accuracy. It also helps data scientists and IT Infrastructure Professionals to help businesses get better decision-making options. (https://www.nvidia.com/en-us/deep-learning-ai/solutions/machine-learning/)
Analysis and Forecasting
NVIDIA’s AI also enhances prediction analysis and forecasting. For Data Scientists, accelerated prediction and forecasting reduce the amount of time to finish processes. And gives more time on solving hard problems regarding business solutions, through large-scale datasets. Data scientists are also able to use their favorite tools to experiment, build, and productionize models with no learning curve and minimal changes to their code. (https://www.nvidia.com/en-us/deep-learning-ai/solutions/prediction-forecasting/)
Reccomender System
NVIDIA Recommender System, or NVIDIA Merlin™, empowers data scientists, machine learning engineers, and researchers to build high-performing recommenders at scale. Merlin includes libraries, methods, and tools that streamline the building of recommenders by addressing common preprocessing, feature engineering, training, inference, and deploying to production challenges. Merlin components and capabilities are optimized to support the retrieval, filtering, scoring, and ordering of hundreds of terabytes of data, all accessible through easy-to-use APIs. With Merlin, better predictions increased click-through rates, and faster deployment to production is within reach. (https://developer.nvidia.com/nvidia-merlin)
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