NVIDIA NIM

15 sessions
October 2024
, Strategic Alliances management, NVIDIA
Computer vision applications are under transformational change with generative AI. New vision language models that understand both image/video and natural language enable the creation of visual AI agents that understand video footage and respond to prompts in natural language with
October 2024
, Vice President of Product Management, Enterprise Software, NVIDIA
Enterprises, organizations, and sovereign nations are building and adapting applications to be powered by generative AI, but they have unique knowledge, language, and skill requirements. Learn how the NVIDIA AI Foundry, NVIDIA NIM, NVIDIA NIM Agent Blueprints and the vast ecosystem of partners
October 2024
, Chief AI Architect, Wipro Limited
, Senior Data Scientist, Wipro Limited
Discover how health insurance calls can be improved through an AI-powered voice assistant leveraging NVIDIA Retriever, NIM inference microservices, and NeMo Guardrails. Learn how these technologies reduce human intervention and costs while improving caller experience with fast, accurate responses.
October 2024
, Head - Gen AI and AI for Automotive, Tata Consultancy Services Limited
, Technical Architect, Tata Consultancy Services Limited
This session explores how generative AI can accelerate the development of software-defined vehicles by enhancing customer experience and streamlining the software engineering lifecycle. We'll focus on utilizing NVIDIA's NeMo framework to fine-tune large language models with automotive-specific
October 2024
, Manager - Solution Architect & Engineering, NVIDIA AI & Cloud, NVIDIA
In this talk, we’ll explore the challenges and solutions related to building and deploying conversational AI workflows, including modalities like automatic speech recognition, large language models, and speech synthesis models focusing on regional languages. We’ll dive deep into various aspects of the
October 2024
, Chief Innovation Officer, TechMahindra Ltd
In this session, we'll explore the work Tech Mahindra Ltd has done with the NVIDIA NeMo stack and NIM inference microservices for advancing the Bahasa language model for Indonesia. While AI has revolutionized enterprise solutions, developing robust models for business applications requires more
October 2024
In this advanced session, we explore Retrieval Augmented Generation (RAG) and how to use NVIDIA Inference Micro-Service (NIM) architectures for scalable, enterprise-grade RAG applications. As organizations seek to enhance AI capabilities with domain-specific knowledge, RAG combines large
October 2024
, Director, Latentview Analytics
, Associate Director, Latentview Analytics
The rapid advancement of generative AI has sparked innovation across diverse fields, but concerns about data security and privacy pose challenges in developing secure inference solutions. Businesses struggle with quick data analysis, relying on manual SQL queries and Excel-based approaches that
October 2024
Unlocking the full potential of AI models demands an inference platform that combines optimized serving, scalable infrastructure and cutting-edge accelerators. In this session, discover how NVIDIA NIM on Google Cloud are empowering organizations to achieve optimized inference performance,
October 2024
This talk presents a collective body of work that has arisen out of the NIH research collaboration with NVIDIA beginning in 2019, starting with various organ-specific segmentation models and recently producing the NVIDIA VISTA-3D NIM foundation model for 3D CT segmentation. VISTA-3D is trained
October 2024
In this session, we'll explore the diverse landscape of Generative AI (GenAI) tools and techniques, providing a roadmap for incorporating these technologies into daily workflows. We'll examine popular commercial GenAI tools like Claude and Perplexity, demonstrating their productivity and problem-
September 2024
, AI Developer Technology Engineer, NVIDIA
, NVIDIA
, DevTech Engineer, NVIDIA
, Director of Product Marketing, NVIDIA
Learn how to build high-performance visual AI agents, from cloud to far edge, that help streamline operations across a range of industries. NVIDIA Metropolis reference workflows bring visual AI agents to life—powered by generative AI vision language models (VLM), large language models (LLM), and
August 2024
, Senior Manager of Enterprise Product Marketing, NVIDIA
, Generative AI Software Product Manager, NVIDIA
, Deep Learning Developer Advocate, NVIDIA
Watch this insightful webinar replayy to learn how you can improve the accuracy and scalability of text retrieval for production-ready generative AI pipelines. With the newest available NVIDIA NeMo™ Retriever and NVIDIA NIM™ microservices, developers and IT practitioners can elevate enterprise data
July 2024
, Senior Director of Quantitative Engineering, ICE Data Services
, Director of Rates Trading, Citi
, Global Partner/Customer Partner Manager Financial Services, NVIDIA
, CEO, KX
In the rapidly evolving landscape of capital markets, leveraging advanced data analytics has become a cornerstone for front office innovation. Traditional systems can't keep up with the deluge of information, leaving investment professionals struggling to gain a competitive edge.Financial
July 2024
, CEO and Founder, Bria.ai
This presentation explores Bria's innovative source-available platform for generative AI, highlighting its unique approach to copyright and respect of privacy. We examine the technical challenges in developing a generative AI system that balances creativity and open platform principles with legal