NVIDIA

High-quality training data ensures that generative AI models learn accurately and generalize well, leading to more reliable outputs. In this webinar, we’ll explore how NVIDIA NeMo™ Curator enables developers to easily build scalable data processing pipelines to create high-quality datasets for training and customization. We’ll dive deep into the complex challenges of processing multimodal data and how developers can leverage NeMo Curator modules to solve these challenges. We’ll explore various features such as deduplication, classifier models, and filters. Additionally, we’ll discuss how to create high-quality synthetic data to augment your existing datasets.Whether you’re building a foundation model or fine-tuning an existing one, this webinar will offer you valuable insights on how to improve the quality of the training data.LearningsIn this webinar, you'll:• Learn how to build end-to-end data processing pipelines that can scale• Explore real-world examples and performance benchmarks• Learn how to get started quickly and seamlessly• Experience a live Q&A with NVIDIA expertsSpeakers: Nirmal Kumar Juluru, Product Marketing Manager, NVIDIA; Arham Mehta, Product Manager, NVIDIA; Mehran Maghoumi, TME, NVIDIA.

Are you leveraging the full potential of NVIDIA AI Enterprise to power your AI needs? This webinar dives deep into the value of NVIDIA AI Enterprise, a comprehensive software platform for production AI workloads designed to empower businesses like yours.An exciting new and exclusive feature of this platform is a catalog of NVIDIA NIM™ inference microservices that enable reliable deployment of high-performance AI inferencing models across many areas. In addition, the webinar delves into how NVIDIA AI Enterprise equips administrators with AI infrastructure management software, including Base Command Manager Essentials, another exclusive tool for server and cluster management. We’ll also look into accessing various software branches and enterprise-grade support, ensuring you have the right support and solutions for your business AI needs. Finally, you’ll learn how these powerful features of NIM containers and other benefits translate into real-world applications, including improved total cost of ownership through practical examples.By the end of this session, you'll experience the tangible benefits of NVIDIA AI Enterprise for your organization.By attending this webinar, you'll:• Explore the value of NVIDIA AI Enterprise for production AI workloads.• Discover the catalog of NVIDIA NIM™ inference microservices for high-performance AI inferencing and NIM Agent Blueprints for acceleration of enterprise AI application development.• Learn about AI infrastructure management tools like Base Command Manager Essentials.• Understand the real-world applications and cost benefits of NIM and enterprise-grade support.Don’t miss out—sign up now to reserve your seat!

Explore key considerations for deploying and scaling generative AI in production, including the critical role of AI inference..As 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.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.By joining this webinar, you’ll explore:Challenges of and best practices for deploying generative AI to productionKey considerations and techniques for optimizing AI inferenceReal-world case studies of enterprise generative AI deploymentsResources and how to get started with NVIDIA softwareSpeakers:Bethann Noble, Product Marketing Manager, NVIDIANeal Vaidya, Developer Advocate, NVIDIA