Don’t miss this transformative moment in AI

*Souce：NVIDIA official

Undoubtedly, the centerpiece of market attention lies in the opening keynote by NVIDIA founder Jensen Huang.

Ever since the inception of the Machine Learning concept at GTC in 2014, NVIDIA has consistently led the charge in the artificial intelligence revolution.

NVIDIA's platform has been pivotal in driving AI application across diverse domains such as large-scale language models, bioscience, cybersecurity, data center and cloud services, conversational AI, network technology, physics, robotics, quantum computing, scientific computing, and edge computing.

Investors are eagerly awaiting further insights into NVIDIA's highly anticipated next-generation chip, the B100, which may be unveiled during the keynote speech. The introduction of this new product holds significant importance for NVIDIA's financial performance. Not only could its profitability boost the company's stock price, but it also ensures that NVIDIA's valuation remains grounded within a reasonable range, preventing potential overvaluation by the market.

Robotics are poised to take center stage

An array of thrilling sessions centered around robotics will explore cutting-edge topics including robot operation, navigation, perception, computing, and simulation, as well as synthetic data generation.

GTC will feature over 77 partners from the NVIDIA ecosystem and showcase more than 25 cutting-edge collaborative robots. In the exhibition hall and demonstration area, attendees will have the opportunity to immerse themselves in the latest robotic arm technology, advanced robot vision systems, and precise 3D scanning technology up close.

Marc Raibert, Executive Director of Boston Dynamics' Artificial Intelligence Research Institute, will engage in an in-depth fireside chat with Dieter Fox, Senior Director of Robotics Research. Representatives from industry giants including Disney, Google DeepMind, and Amazon will also participate in the symposium, sharing their insights and experiences.

Healthcare & Life Sciences

The Healthcare and Life Sciences conference features several keynote speeches, addressing the application of generative AI utilizing large language models (LLM) to enhance imaging technology. Additionally, discussions will revolve around how AI can enhance efficiency and expedite product launches in fields such as biology and medical devices.

Under the theme of "How Artificial Intelligence is Powering the Future of Biomedicine," Mona Flores, Global Head of Healthcare AI at NVIDIA, and Priscilla Chan, Co-founder and Co-CEO of the Chan Zuckerberg Initiative, will collaborate to delve into how artificial intelligence can propel biomedical advancements. They will discuss establishing high-performance computing systems to gain deep insights into cellular mechanisms, expedite scientific experiments, and facilitate the rapid development of diagnosis and treatment methods.

Data center / Cloud

Software and solutions tailored to accelerate data center and AI operations cater to various technological directions, including large-scale model training, inference, conversational AI, generative AI, and AI system management and deployment.

“The data center has evolved into a new computing unit, with the trend of network-defined modern data architecture becoming increasingly evident. The network plays a pivotal role in determining the overall performance and scalability of the data center, necessitating a new network specification to meet the ever-expanding computing power demands of AI workloads.”

Executives from renowned companies like NVIDIA, LinkedIn, SentinelOne, and ServiceNow will offer profound insights into leveraging generative AI for enterprise transformation. They'll delve into how generative AI can enhance employee experience, boost productivity, fortify security, and optimize operational efficiency. By sharing valuable industry insights and best practices, the conference aims to empower attendees with the knowledge to build and validate high-performance computing centers.

Automotive / transportation

A series of thrilling speeches will delve into the application and innovation of AI technology in the automotive industry, spanning from data centers to full-stack solutions on the vehicle side.

Despite over a decade of development in autonomous driving technology, its large-scale monetization still encounters challenges. Maxwell Zhou, CEO of DeepRoute.ai, will delve into the monetization process of autonomous driving technology.

Confronting the hurdles of widespread deployment, he will elucidate strategies for achieving this objective through optimizing software and hardware costs while enhancing performance.

Accelerated Computing Tools & Techniques

The content encompasses strategies for accelerating Pandas using RAPIDS cuDF, updates on the application of RAPIDS in data science, performance optimization techniques for NetworkX, advanced features of XGBoost, and acceleration of ETL and Machine Learning in Apache Spark.

These conferences aim to equip data science professionals with the latest technical insights and tools to achieve significant performance enhancements in data processing and analysis.

The above content is extracted from the official NVIDIA website. Please refer to the official NVIDIA website for accurate information.