한국 개발자를 위한 컨퍼런스 세션

Don't miss this keynote from NVIDIA founder and CEO Jensen Huang. He'll share how NVIDIA's accelerated computing platform is driving the next wave in AI, digital twins, cloud technologies, and sustainable computing.

We'll show how Samsung has accelerated its optical proximity correction (OPC) workloads using NVIDIA GPUs and the newly adopted NVIDIA cuLitho. With increasing lithography complexity in semiconductor manufacturing, GPU acceleration through cuLitho has enabled Samsung to achieve significant performance improvements, enhancing both speed and efficiency in critical OPC processes.

Diffusion models have transformed generative AI by enabling breakthroughs in diverse applications, such as images, videos, and speech. We'll show that these versatile frameworks extend beyond traditional domains and hold substantial potential for scientific data modeling. Through case studies spanning molecular generation, protein design, and weather modeling, we'll explore the unique opportunities and challenges involved in leveraging diffusion models to answer complex scientific questions.

The CUDA platform is the foundation of the GPU computing ecosystem. Every application and framework that uses the GPU does so through CUDA's libraries, compilers, runtimes and language — which means CUDA is growing as fast as its ecosystem is evolving. At this engineering-focused talk by one of the architects of CUDA, you'll learn what's new and what's coming next for both CUDA and GPU computing as a whole.

Join a special presentation from our 2024-25 Graduate Fellowship recipients to learn "what's next" from the world of research and academia. Sponsored projects involve a variety of technical challenges, including machine learning, robotics, computer vision, computer graphics, wireless communication systems, high performance computing, autonomous driving, and AI efficiency. We believe that these minds lead the future in our industry and we're proud to support the 2024-25 NVIDIA Graduate Fellows. We'll also announce the 2025-26 Graduate Fellows at this session. For more information on the NVIDIA Graduate Fellowship program, visit www.nvidia.com/en-us/research/graduate-fellowships

Getting the most out of your GPU with CUDA C++ doesn't require writing custom kernels or manually managing storage for everything! Learn about the libraries and techniques that not only make writing CUDA C++ applications easier, but give you better performance. Through examples, we'll explore all aspects of writing modern CUDA C++ software, including heterogeneous memory management, algorithm design, and project setup.

Writing GPU code in Python is easier than ever! Gain valuable insight into the diverse collection of CUDA libraries and frameworks that enable significant performance boosts across various computational tasks. Through practical examples, you'll see popular CUDA Python libraries in action, illustrating their effectiveness in real-world scenarios. We'll share valuable tips and tricks designed to help you maximize the performance of your own Python projects. Whether you’re new to GPU programming or looking to enhance your existing skills, this session will equip you with the knowledge needed to leverage the full potential of the CUDA Python development stack for accelerated computing.

High-bandwidth memory (HBM) plays a key role in enabling high performance computing and generative AI, and is expected to see significant advancements in the coming years. We'll share HBM’s technical attributes, applications, and future implications so you can better understand the value of HBM, and how SK hynix leads the world in HBM technology and market.

AI is transforming media production by changing how we create, handle, and share content. It helps artists and writers generate scripts, music, and visual effects. Natural language processing and transformer models are now used to create dialogue and story outlines, aiding storytellers in crafting narratives. In music, AI helps compose new pieces and improve others. For visual effects, it’s being used for tasks such as rotoscoping, adjusting colors, and creating computer-generated imagery more efficiently. In the realm of media distribution, AI is optimizing content delivery and personalization. Recommendation systems, powered by AI, analyze user data to suggest content that aligns with individual preferences, thereby enhancing viewer engagement. AI is also instrumental in managing digital rights, detecting copyright infringements, and ensuring compliance with licensing agreements. As AI continues to evolve, it will further disrupt traditional media production workflows, offering new creative possibilities while also raising important ethical considerations around authenticity and content manipulation. We'll highlight recent advances in technology and software products embracing this new world.

We'll explore critical factors driving startup success in today's dynamic landscape, with a particular focus on the transformative potential of AI. Hear a diverse panel of experts share real-life examples of ways startups can reach their full potential and access valuable support. You’ll gain practical knowledge, discover valuable resources, and connect with key players in the startup ecosystem. You’ll learn how to access funding opportunities and hear more about the tools, resources, and programs that are available to help startups across the life cycle.

Speech AI technologies such as automatic speech recognition (ASR), text-to-speech (TTS), and neural machine translation (NMT) automate millions of conversations today. They provide customers with a personalized human-like experience through such applications as Virtual Assistant, Contact Center Agent Assist, and digital avatar. We’ll review a few inspiring use cases and solutions to common challenges faced by enterprises that are getting started with speech AI. Learn techniques for achieving world-class accuracy and customizing for your industry. We’ll also show the latest models, tools, and features in NVIDIA NeMo and Riva, demonstrate sample applications, and illustrate how to build a speech AI pipeline.

Discover the potential of NVIDIA's edge AI platform in transforming the future of smart edge and autonomous robotics. This session will provide an overview of the platform's capabilities across embedded edge, industrial edge, and enterprise edge environments. Learn about the best practices and software framework that enable AI-powered robots and intelligent vision systems from advanced sensor processing to real-time decision-making. Explore how these innovative technologies are creating generative physical AI systems and shaping industries across healthcare, retails, robotics, transportation, manufacturing and more.