NVIDIA's GPU Technology Conference (GTC) San Jose 2025

NVIDIA's GPU Technology Conference (GTC) 2025 is scheduled for March 17–21, 2025, at the San Jose McEnery Convention Center in San Jose, Calif. This event convenes professionals across various industries to explore advancements in artificial intelligence, accelerated computing, and related fields.

The conference agenda includes a keynote by NVIDIA CEO Jensen Huang, technical sessions, hands-on workshops, and networking opportunities. Participants will gain insights into the latest technological developments and their applications across sectors such as healthcare, automotive, and finance.

Key Themes at NVIDIA GTC 2025

• AI Platforms and Deployment: Strategies for implementing AI solutions, relevant to Chief Technology Officers and AI project managers.
• Edge Computing: Innovations in deploying AI at the edge, pertinent to IoT solution architects and systems engineers.
• Robotics: Advances in AI-enabled robotics, beneficial for robotics engineers and automation specialists.
• Data Center and Cloud Infrastructure: Best practices for scalable infrastructure, essential for data center managers and cloud service providers.
• Cybersecurity: AI's role in enhancing security measures, crucial for cybersecurity analysts and IT security managers.

Target Audience for NVIDIA GTC 2025

• Chief Technology Officers seeking to integrate AI into business strategies.
• Data Scientists aiming to apply AI in various industry contexts.
• Software Engineers developing AI-driven applications.
• Research Scientists focusing on AI and machine learning advancements.

NVIDIA's Product Offerings

• GeForce RTX Series: GPUs designed for high-performance gaming and creative applications, featuring real-time ray tracing and AI-enhanced graphics.
• Blackwell AI Processors: Advanced processors optimized for AI workloads, offering significant performance improvements for training and inference tasks.
• Project DIGITS Supercomputer: A desktop supercomputer enabling developers to run large-scale AI models without cloud infrastructure, supporting up to 200 billion parameters.
• DriveOS: An operating system for autonomous vehicles, providing a platform for developing and deploying self-driving technologies.