Unleash the Power of Generative AI with NVIDIA NIM microservicesAs organizations transition from generative AI experiments to deploying and scaling generative AI applications in production, the focus on production model deployment for inference—where AI delivers results—is growing. In addition to strategies that ensure data security and compliance while enabling flexibility and agility for innovation, enterprises need a streamlined, cost-effective approach to managing AI inference at scale.Master NVIDIA NIM microservices for deploying foundation models securely and efficiently. This workshop covers comprehensive deployment strategies for Language Models, Vision Language Models, Speech Models, Embeddings, and Rerankers. Learn to implement production-grade runtimes with enterprise support across cloud and data center environments.Join us for an engaging webinar where we'll explore key considerations for deploying and scaling generative AI in production, including the critical role of AI inference. Through real-world case studies highlighting successful enterprise deployments, we'll uncover best practices supporting enterprise data security and compliance, enabling developer innovation and agility, and unlocking AI inference for production applications at scale.Don't miss out on this opportunity to accelerate your enterprise journey to generative AI.LearningsThe Current Landscape of Generative AI:Understand the latest trends and challenges in deploying generative AI models.NVIDIA NIM microservices:A Game-Changer: Discover how NVIDIA NIMs can significantly improve the performance and efficiency of your generative AI inferences. Learn how to implement production-ready AI applications using NVIDIA NIM microservices & ensure security and compliance in model deployment.Real-World Case Studies:Hear from industry experts atxxxxas they share their experiences using NVIDIA NIMs to optimize their AI applications.(C) NVIDIA Corporation 2025. All rights reserved. No recording of this webinar should be made or reposted without the express written consent of NVIDIA Corporation.

NVIDIA's groundbreaking AI blueprint enables developers and enterprises to create video analytics AI agents capable of understanding, searching, and summarizing videos. These interactive AI agents are being deployed in cities, factories, sports arenas, warehouses, and more—letting users make better decisions faster from richer insights and streamline operations.Customizing a video analytics AI agent to interact with domain-specific visual information is critical for producing accurate and reliable results for specialized use cases. Learn how to apply prompt engineering and fine-tune the VLMs powering these agents to boost productivity and solve your business needs.(C) NVIDIA Corporation 2025. All rights reserved. No recording of this webinar should be made or reposted without the express written consent of NVIDIA Corporation.

NVIDIA's groundbreaking AI blueprint enables developers and enterprises to create video analytics AI agents capable of understanding, searching, and summarizing videos. These interactive AI agents are being deployed in cities, factories, sports arenas, warehouses, and more—letting users make better decisions faster from richer insights and streamline operations.Customizing a video analytics AI agent to interact with domain-specific visual information is critical for producing accurate and reliable results for specialized use cases. Learn how to apply prompt engineering and fine-tune the VLMs powering these agents to boost productivity and solve your business needs.(C) NVIDIA Corporation 2025. All rights reserved. No recording of this webinar should be made or reposted without the express written consent of NVIDIA Corporation.

In this webinar we'll go behind the scenes of the new GPU engine to see how Polars' declarative API and query optimizer enable seamless GPU acceleration.(C) NVIDIA Corporation 2025. All rights reserved. No recording of this webinar should be made or reposted without the express written consent of NVIDIA Corporation.

Join us to explore how generative AI, large language models (LLMs), vision language models (VLMs) and multimodal large language models (MLLMs) offer unprecedented capabilities. Understand the latest research in the field and get a glimpse into what’s coming next. You’ll also get a chance to hear direct from companies across industries as they share details about how they've built visual AI Agents to enable organizations to transform data into actionable insights at scale. They’ll demonstrate real-world applications and dive into the details on technical implementations. Then you’ll learn how you can fast-track development of your own visual AI agent with the latest NVIDIA Blueprint for video search and summarization.By attending the webinar, you'll:Learn directly from top researchers in vision and multimodal AI on the latest approachesHear about ongoing efforts to increase best practices in the responsible training and deployment of AI research systemsHear from different organizations on how they adopt the technologies to enable new business capabilities(C) NVIDIA Corporation 2025. All rights reserved. No recording of this webinar should be made or reposted without the express written consent of NVIDIA Corporation.

Although the promise of AI to improve business operations and outcomes is starting to be realized, many organizations still struggle to implement AI solutions in production. The challenges of managing complex AI pipelines on GPU-accelerated infrastructure have held back adoption. NVIDIA AI Enterprise, the software platform for production AI, is designed to simplify this process, and this webinar will show you how by walking through an actual example of deploying a generative AI workflow, from prototyping to production at scale. By the end of this session, you’ll learn how to deploy AI microservices in your own infrastructure, whether on-prem or in the cloud, and how to manage a generative AI pipeline running on Kubernetes in production.In this webinar we will:Explore the NVIDIA API catalog of NVIDIA NIM microservices and determine what is required for deploying them to your own infrastructureUse tools such as NIM Operator to simplify the deployment of these containers as part of a whole generative AI pipelineManage the deployment, including how to configure automatic scaling as well as service monitoringCompare the experience of doing this in an on-prem cluster and a cloud-managed Kubernetes services(C) NVIDIA Corporation 2024. All rights reserved. No recording of this webinar should be made or reposted without the express written consent of NVIDIA Corporation.

The future is clear: Every company will be an AI company. AI will be used to generate new insights, transform business operations, and improve business outcomes. While many organizations realize the importance of AI and the heightened pace of data-driven innovations, developing AI applications can be challenging and resource constrained. By leveraging NVIDIA vGPU solutions, your virtual desktop infrastructure can quickly and efficiently become an AI platform to start your AI journey. Join this webinar to learn more about how to jump-start AI developments, best practices for setting up optimized virtual machines, and the toolkits that NVIDIA provides.By attending this webinar, you will:Get an overview of NVIDIA RTX Virtual Workstation for AISee generative AI workloads demosLearn how to use the AI Workstation Toolkits for AI practitioners and IT professionalsHear about best practices for sizing and deployments (C) NVIDIA Corporation 2024. All rights reserved. No recording of this webinar should be made or reposted without the express written consent of NVIDIA Corporation.

The integration of AI into traditional workflows and enterprise applications is blurring the lines between serial and parallel processing, requiring a new accelerated compute platform with a hybrid architecture that can seamlessly blend the flexibility and energy efficiency of the ARM CPU with the performance of the GPU. Join this webinar to hear from HEAVY.AI and Vultr on how the NVIDIA Grace Hopper™ Superchip’s converged memory architecture is accelerating a wide array of enterprise workloads for their customers, from database and analytics to LLM-powered agents, all while unlocking energy savings in the data center. In this webinar, you’ll learn:The benefits of the converged memory architecture of the NVIDIA GH200 SuperchipHow HEAVY.AI is leveraging NVIDIA GH200 to accelerate database query times, unlock new analytical insights, and deliver cost savings for its customersHow Vultr built out its NVIDIA GH200 cloud instances and how its customers are leveraging it to build LLM-powered digital agents(C) NVIDIA Corporation 2024. All rights reserved. No recording of this webinar should be made or reposted without the express written consent of NVIDIA Corporation.