NVIDIA unveils next-generation AI and semiconductor technologies at GTC Conference
Blackwell Ultra GPU set to launch in H2 2024
Vera Rubin (2026) and Feynman Architecture (2028) announced
DGX personal AI computer in development with Dell, Lenovo, and HP
Spectrum-X and Quantum-X networking semiconductors for AI factory applications
Dynamo software for AI inference optimization released for free
GR00T N1, a foundational model for humanoid robots, introduced
Opinion
Through the GTC Conference, NVIDIA has clearly signaled its intent to strengthen its dominance in the AI and semiconductor markets. By unveiling next-generation GPUs, networking semiconductors, and AI software, the company is making a strong push to secure a competitive edge over its rivals.
Core Sell Point
At GTC, NVIDIA CEO Jensen Huang unveiled a wide range of next-generation AI and semiconductor technologies.
NVIDIA CEO Jensen Huang unveiled a host of next-generation semiconductor and AI technologies at the annual GTC (GPU Technology Conference). Through this event, NVIDIA clearly demonstrated its strategy to solidify its dominance in the AI industry, introducing a wide range of new products, including next-generation GPUs and custom processors.
NVIDIA announced its next-generation GPU, Blackwell Ultra, set to launch in the second half of this year. Designed to handle large-scale AI models more efficiently, this chip features expanded memory for smoother processing. Additionally, NVIDIA introduced the Vera Rubin Computing System, scheduled for release in late 2026, and the Feynman Architecture, set to debut in 2028. These chips enhance data transfer speeds between semiconductors and support the efficient operation of scalable AI systems.
NVIDIA also unveiled a new DGX AI computer for AI development. Equipped with the Blackwell Ultra chip, this device is being developed in collaboration with Dell, Lenovo, and HP, and is expected to compete with Apple’s high-performance Mac products. Furthermore, NVIDIA introduced Spectrum-X and Quantum-X networking semiconductors for AI factories, Dynamo software for optimizing AI model inference, and the GR00T N1, a foundational model for humanoid robots.
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