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data-driven future
data-driven future
Higher education institutions face significant and broad challenges in training innovators in AI, robotics, accelerated computing, and data science. At the same time, institutions must also meet the demands for more flexible and accessible educational opportunities. From on-premises systems to the cloud, NVIDIA provides the tools to discover new things in critical disciplines anytime, from anywhere.
SCALING THE INFRASTRUCTURE
Handle large workloads, increase efficiency, and reduce operating costs with centralized infrastructure and computing power.
DRIVING INNOVATION
With tools that accelerate discovery, experimentation, and deployment, the path to new insights is clear. With GPU-accelerated AI and high-performance computing (HPC), researchers can use modeling, simulation, and experimental data to tackle the biggest challenges.
IMPROVE LEARNING
Provide your students with critical AI and HPC skills that further advance their career development. Support educational institutions with training and infrastructure solutions to foster the next generation of research.
HPC Computing
HPC SOLUTIONS SUPPORT COMPLEX ANALYSIS AND SIMULATION THROUGH HIGH-PERFORMANCE COMPUTING.
High Performance Computing (HPC) is one of the most important tools advancing simulation science.
The universe of scientific computing has expanded in all directions.
From weather forecasting and energy management to computational fluid dynamics and life sciences: Researchers are combining traditional simulations with artificial intelligence, machine learning, deep learning, Big Data analytics, and edge computing to explore the mysteries of the world around us.
The universe of scientific computing has expanded in all directions.
From weather forecasting and energy management to computational fluid dynamics and life sciences: Researchers are combining traditional simulations with artificial intelligence, machine learning, deep learning, Big Data analytics, and edge computing to explore the mysteries of the world around us.
INFRASTRUCTURE
Cloud and data center
ACCELERATING ENTERPRISE WORKLOADS - FROM THE CLOUD TO THE DATA CENTER TO THE EDGE
From AI and data analytics to high-performance computing (HPC) and rendering, data centers are key to solving some of the most critical challenges. NVIDIA's end-to-end accelerated computing platform, integrated across hardware and software, provides enterprises with the blueprint for a robust, secure infrastructure that supports develop-to-deploy deployments across all modern workloads.
Design, Visualization and Computer Vision
Computer Vision
Empower your devices to perceive and understand the world around us with powerful software that is masterful, scalable and tested.
Computer vision is an area of technology that enables devices such as smart cameras to capture, process, analyze, and interpret images and video. For example, a vehicle's driver assistance system developed with computer vision algorithms uses cameras and other sensors to not only display, but also detect what is in front and behind it to identify and classify regions or points of interest within an image. In this case, the vision system serves a safety purpose by helping drivers navigate around roadway debris, other vehicles, animals and people. Similarly, farmers may rely on vision equipment to automatically detect weeds and determine where crops are growing well in a large field to increase yield. Today's computer vision tasks like these are based on artificial intelligence and, in particular, Deep Learning, a type of machine learning modeled after the brain. Computer vision models based on Deep Learning allow devices to operate and adapt like a human expert while requiring significantly less input.
Explore Computer Vision Software & Cloud Platform | NVIDIA
Explore Computer Vision Software & Cloud Platform | NVIDIA
SCIENTIFIC VISUALIZATION
the best way to experience high-performance computing (HPC) simulations is through visualization. GPU-accelerated scientific visualization accelerates data analysis by enabling researchers to visualize their large data sets at interactive speeds and collaborate with remote team members.
nVIDIA offers a variety of visualization software available in the NGC™ catalog that enables researchers to collaborate with their colleagues remotely and interactively visualize their scientific datasets in real time to accelerate scientific discoveries and publish results faster.
EDGE COMPUTING
EDGE COMPUTING SOLUTION
Modern businesses are trying to leverage data from billions of sensors in the Internet of Things (IoT) found in retail stores, urban streets and hospitals. The ability to gain insights faster with edge computing solutions can not only save time and money, but also save lives.
to do this, edge computing solutions must offer powerful, distributed computing power, secure and easy remote management, and compatibility with industry-leading technologies.
to do this, edge computing solutions must offer powerful, distributed computing power, secure and easy remote management, and compatibility with industry-leading technologies.
AI & Data Science
ACCELERATED DATA SCIENCE
GPU-BALANCING YOUR DATA ANALYSIS WORKFLOWSData
scienceworkflows
have traditionally been slow and cumbersome. Yet they depend on CPUs to load, filter, and process data, as well as to train and deploy models. GPUs significantly reduce infrastructure costs and provide 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.Data Analytics
High-performance data analysis
Data analytics workflows have traditionally been slow and cumbersome, relying on CPU computations for data preparation, training, and deployment. Accelerated data science can boost the performance of end-to-end analytics workflows, accelerating value creation while reducing costs.
Machine Learning
ACCELERATING AND INCREASING MODEL ACCURACY AND HIGHLY OPTIMIZING PIPELINES FOR MACHINE LEARNING
Machine learning helps companies gain a more detailed view of their customers to develop tailored products and services. Companies also benefit from smoother operations in production and supply chains using 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.
Deep Learning
SOLVE THE BIGGEST CHALLENGES OF OUR TIME WITH GPU ACCELERATION
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.
Software solutions
NVIDIA DATA SCIENCE TECHNOLOGY
50X ACCELERATED DATA ANALYSIS
Data scientists spend a lot of time analyzing data iterated through machine learning (ML) experiments. Every hour spent examining datasets, extracting features, and adapting ML algorithms extends the time it takes to obtain robust results.
NVIDIA AI ENTERPRISE ON RED HAT OPENSHIFT
NVIDIA AI Enterprise is an end-to-end, cloud-native suite of AI and data analytics software optimized, certified, and supported by NVIDIA to run on Red Hat OpenShift, the industry-leading Kubernetes platform, with NVIDIA-certified systems. The solution incorporates key technologies from NVIDIA and Red Hat to securely and consistently deploy, manage, and scale AI workloads in the hybrid cloud.
NVIDIA AI Enterprise Suite
Container Orchestration and Management with VMware and Red Hat. Optimized, certified and supported by NVIDIA.
nVIDIA AI Enterprise is an end-to-end, cloud-native suite of AI and data analytics software optimized, certified, and supported by NVIDIA to run on VMware vSphere with NVIDIA-Certified Systems™. it includes key NVIDIA technologies for rapidly deploying, managing and scaling AI workloads in the modern hybrid cloud.
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