NVIDIA Shows AI Supercomputer Hopper, Price-Performance Ratio Ahead of Intel


At the 2025 GTC conference, NVIDIA introduced the 'Omniverse DSX Blueprint' design, specifically tailored for gigawatt-scale AI data centers, known as the 'AI Factory.' This solution is based on the Omniverse framework and supports various scales from 100 million watts to 1 billion watts. It aims to efficiently train and run large AI models, meeting the growing demand for AI computing, and represents a significant advancement in artificial intelligence infrastructure.
NVIDIA released the OmniVinci all-modal understanding model, leading top models by 19.05 points in multiple benchmark tests. The model uses only 0.2 trillion training tokens, achieving six times the data efficiency of competitors. It aims to achieve unified understanding of vision, audio, and text, advancing machine multimodal cognitive capabilities.
NVIDIA released the multimodal understanding model OmniVinci, which outperformed top models by 19.05 points in benchmark tests. The model achieves excellent performance with only 1/6 of the training data. It aims to enable AI systems to simultaneously understand vision, audio, and text, simulating human multisensory perception of the world.
NVIDIA will start selling the DGX Spark Personal AI Supercomputer on October 15th, priced at $3999. This compact device can be placed on a desk and offers powerful computing capabilities, suitable for AI model training and research. Users can purchase it through the official website and US partners, targeting data scientists and AI researchers.
NVIDIA's first personal AI supercomputer, DGX Spark, will be released this week. It offers powerful performance for handling complex AI models and has a compact design suitable for desktop placement. Orders can be placed online on the official website starting October 15th, or purchased through designated channels in the United States. The official price has been adjusted from the previously announced 3000 USD to 3999 USD.