Tab 1 Content
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Deep Learning

With the advent of Deep Learning and AI, the world of computing is undergoing an amazing transformation. For training as well as inference, Deep Learning relies on GPU acceleration. NVIDIA delivers it wherever it's needed - in data centers, on desktops, laptops, in the cloud, and on the world's fastest supercomputers.


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Deep Learning Workstation

Get access to the power of AI supercomputing for Deep Learning - conveniently at your desk. Researchers, startups, and anyone researching Deep Learning will have everything they need to get started in the Deep Learning sector.


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Artificial intelligence

AI is driving change in every industry around the world. As businesses increasingly rely on data, demand for AI technology is on the rise. From speech recognition and recommendation systems to medical imaging and improved supply chain management, AI is providing companies with the computing power, tools and algorithms their teams need to get the job done.


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Platform for Deep Learning Inference

Demand for increasingly sophisticated AI-enabled services such as image and speech recognition, natural language processing, visual search, and personalized recommendations is exploding. At the same time, data sets are growing larger, networks are becoming more complex, and latency requirements are becoming more stringent to meet user expectations.

NVIDIA's inference platform delivers the performance, efficiency, and responsiveness critical to the delivery of next-generation AI products and services - in the cloud, in the data center
,in the network perimeter, and in autonomous machines


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Machine learning

Machine learning helps companies gain a more detailed view of their customers in order to develop tailored products and services. Companies also benefit from smooth operations in production and supply chains by means of artificial intelligence. With the acceleration in data science, companies can iterate and productively place solutions faster than ever before. At the same time, you can leverage massive data sets to refine models to the point.


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Data Science

Data science workflows have been slow and cumbersome. Yet they depend on CPUs to load, filter, and manipulate data, as well as train and deploy models. GPUs significantly reduce infrastructure costs and deliver superior performance for end-to-end data science workflows using NVIDIA RAPIDS™ libraries. GPU-accelerated data science is available everywhere - on the desktop, in the data center, in the peripherals, and in the cloud.


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Data Analytics

Data analytics workflows have traditionally been slow and cumbersome, relying on CPU computations for data preparation, training, and deployment. Accelerated data science can increase the performance of end-to-end analytics workflows, accelerating value creation while reducing costs.


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Conversation AI

Conversational AI applications such as virtual assistants, digital avatars, and chatbots are paving the way for breakthrough, personalized, natural human-machine conversations. However, they must meet stringent requirements in terms of accuracy and latency. NVIDIA's conversational AI platform enables developers to quickly build and deploy innovative applications that deliver high accuracy and respond in well under 300 milliseconds - the speed for real-time interactions.


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Autonomous machines

What was once considered science fiction has currently impacted just about every industry. We're talking about AI.
Autonomous machines are using AI to solve some of the world's most challenging tasks. The NVIDIA® Jetson™ platform gives you the means to develop and deploy AI-powered robots, drones, IVA applications, and other autonomous machines that think for themselves.


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Predictions & Forecasts

Prediction and forecasting are powerful tools that enable organizations to model future trends. With NVIDIA's Accelerated Data Science, organizations can extract highly accurate insights from large datasets to make data-driven decisions.