– Nvidia’s GTC event in San Jose focused on accelerated computing and the intersection of computer graphics, physics, and artificial intelligence
– The company unveiled its Blackwell platform, a powerful processor pushing the limits of physics with impressive speeds and efficiency
– Nvidia also introduced new tools for automakers and roboticists, as well as a software platform called NIM to simplify AI model deployment and expand capabilities in generative AI
At Nvidia’s GTC event in San Jose, President Jensen Huang addressed a large audience, emphasizing that it was a developers conference, not a concert. The company, founded in 1993, focused on accelerated computing with specialized chips for graphics. Huang talked about the intersection of computer graphics, physics, and artificial intelligence, showcasing the soul of Nvidia.
During the keynote, Huang delved deep into tech-heavy topics, showcasing the new Blackwell platform, a powerful processor pushing the limits of physics. This new platform offers impressive speeds and capabilities, outperforming the previous generation AI-optimized GPU called Hopper. It aims to revolutionize data processing with its speed and efficiency.
Nvidia also introduced new tools for automakers and roboticists, expanding its offerings in the field of self-driving cars and robotics. The company unveiled Nvidia NIM, a software platform simplifying AI model deployment, leveraging Nvidia’s hardware for faster AI initiatives. NIM supports models from various sources and integrates with platforms like Amazon SageMaker and Microsoft Azure AI, with plans to expand its capabilities for generative AI chatbots.
Huang emphasized the importance of digitizing patterns to generate meaning, leading the company into the generative AI revolution. With a focus on pushing the boundaries of technology, Nvidia continues to drive innovation in the fields of computing, artificial intelligence, and robotics.