INTRODUCTION
NVIDIA is a technology that specializes in the development of Graphics Processing Units (GPUs) and other high performance computing technologies .NVIDIA,s Education platform provide student, education, and researches with access to powerful tools and high performance computing (HPC). The NVIDIA set of resources to support learning and research in AI, data science, and HPC. It is an excellent resource for students, HPC, educators, and researchers who want to accelerate their work in these field.
NVIDIA Offering for Higher Education & Research
NVIDIA offers a wide range of resources and tools to support higher education and research in the fields of Artificial Intelligence (AI Centre of Excellence), AI Lab Powered by NVIDIA DGX A100. Here are some of the offering from NVIDIA for higher education and research.
AI CENTRE OF EXCELLENCE
An AI Center of Excellence (COE) is a dedicated team or department within an organization that focuses on the development and implementation of Artificial Intelligence (AI)solution to solve business problems and drive innovation. The primary role of an AICOE is to server as a centralized hub for all AI-related activities, including research and development, Data management, implementation and ongoing support . The team within an AI COE typically includes data scientists, machine learning engineers, software developer and other specialists in AI technologies. The primary benefits of an AICOE power of an COE power of AI, organization can automate routine task, analyze vast amount of data ,and gain insight that were previously impossible to obtain. NVIDIA DGXA100 is the foundation building block for large AI clusters such as NVIDIA DGX POD and is the enterprise blueprint for scalable AI infrastructure, DGX POD is designed to scale to hundreds of nodes to meet the biggest challenges. The NVIDIA DGX base POD reference architecture provide the critical foundation on which business transformation and AI application are born.
DGX PERT SYSTEM
The DGX Partner Program is a program launched by NVIDIA, a leading technology company, to help accelerate the adoption of AI across various industries. The program offers a comprehensive set of resources, training, and support to help partners developer and deploy AI solutions using NVIDIA's DGX systems, which are pre-configured, high-performance AI computing platforms. The program is designed for partners who offer AI solutions or services to customers, including software developers, system integrators, and resellers. Benefits of the DGX Partner Program include access to NVIDIA's deep learning and AI expertise, training and certification programs, marketing resources, and technical support. In addition, partners who join the program can receive priority access to NVIDIA's latest AI technologies, including its DGX systems, Tensor RT inference optimization software, and the NVIDIA CUDA programming platform. Owning an NVIDIA DGX-System gets you direct access to an NVIDIA DGX pert DGX partners are AI-fluent Practitioners who have built a wealth of experience over the last decade to offer prospective guidance and expertise to help fast-track AI Transformation.
CURRICULUM
AI LAB POWERED BY NVIDIA
An AI Lab powered by NVIDIA is a dedicated facility that provides access to NVIDIA’s advanced hardware and software technologies for research and development in the field of artificial intelligence (AI). NVIDIA provides powerful GPU-based hardware solutions, such as the DGX systems, which are optimized for deep learning workloads and accelerate the training of AI models. In addition, NVIDIA offers software tools such as CUDA, cu DNN, Tensor RT, and the NVIDIA Deep Learning SDK, which help developers accelerate the development and deployment of AI applications. An AI Lab powered by NVIDIA
offers researchers, data scientists, and developers access to these powerful hardware and software resources allowing them to work on complex AI projects and accelerate innovation. NVIDIA DGX A100 is the universal system for all AI infrastructure, from analytics to training to inference. It sets a new bar for compute density, packaging 5 peta FLOPS of AI performance into a 6U Form factor, replacing legacy infrastructure silos with one platform for every AI workload.
Use Case
Accelerate conversationalAI Pipeline
From Speech Recognition to regional language Understanding and speech synthesis with NVIDIA's conversational AI platform, developers can quickly build and deploy cutting-edge application that deliver high-accuracy and respond in far less than 300 milliesecond- the speed for real time interactions.
Voicebots/chatbots
Voicebots and chatbots are artificial intelligence systems that are designed to communicate with humans through natural language, either through voice or text-based chat interfaces. Chatbots are typically deployed in messaging platforms or websites and use text-based interfaces to communicate with users. They can perform a variety of tasks, such as answering frequently asked questions.
Regional languages training
Regional language training refers to the process of teaching and learning languages that are specific to a particular region or locality. This includes languages such as Hindi, Tamil, Telugu, Kannada, Bengali, Marathi, Punjabi, and many others. Regional language training is important for a variety of reasons. For individuals living in a particular region, being able to speak and understand the local language .
Text to speech
Text-to-speech (TTS) is a technology that converts written text into spoken audio output. This is achieved through a process of natural language processing, where text is analyzed and then synthesized into audio output using computer-generated voices.
Translation
Translation is the process of converting written or spoken content from one language into another. This can be done manually by a human translator, or through the use of machine translation technology.
LARGE LANGUAGE MODELS
Large language models (LLMs) are artificial intelligence systems that are designed to process and generate natural language text using deep learning techniques.
Computer Vision
Our method has been tested
