Nvidia and the state of Utah recently announced a strategic partnership to launch a comprehensive AI education initiative aimed at upskilling the state's workforce and boosting economic growth. This public-private collaboration will provide key resources for developing generative AI skills to Utah's universities, community colleges, and adult education programs. A core component of the initiative will provide educators with professional certifications through the Nvidia Deep Learning Institute University Ambassador Program, access to high-quality teaching kits, workshop materials, and cloud-based Nvidia GPUs.

Nvidia today announced that its premier global AI conference, GTC 2025, will be held in San Jose, California from March 17th to 21st. The event is expected to draw 25,000 in-person attendees and 300,000 online viewers, showcasing the latest breakthroughs in AI and accelerated computing. A highly anticipated keynote address from Nvidia CEO Jensen Huang will highlight the conference.

A revolutionary technology is quietly emerging in the field of artificial intelligence. Inception Labs recently announced the Mercury series of diffusion large language models (dLLMs), a new generation of language models designed for fast and efficient high-quality text generation. Compared to traditional autoregressive large language models, Mercury boasts up to 10x faster generation speeds, achieving over 1000 tokens per second on an NVIDIA H100 GPU. This speed is...

Nvidia's revenue for the fiscal fourth quarter of 2025 reached $39.3 billion, a 78% increase year-over-year. Data center revenue was particularly strong, reaching $35.6 billion, a 93% year-over-year increase. Net income for the quarter reached $22.09 billion, an 80% year-over-year surge.

Recently, the Evo2 bio AI model, jointly developed by Arc Institute and Nvidia, was officially released. This foundational model is based on DNA data from over 100,000 species and aims to deeply decode various complex phenomena in biology. Evo2 can identify patterns in the genetic sequences of different organisms that researchers would typically take years to discover, significantly enhancing the ability to identify disease-related mutations, and can design entirely new genomes comparable to simple bacteria.

Recently, the Arc Institute partnered with NVIDIA, along with researchers from Stanford University, the University of California, Berkeley, and the University of California, San Francisco, to jointly release the world's largest biological artificial intelligence model — Evo2. This model is based on data from over 128,000 genomes, training on 93 trillion nucleotides, making its scale comparable to the most powerful generative AI language models. Evo2's deep learning capabilities enable it to rapidly identify sequences of genes across different organisms.

Recently, Musk officially launched the brand new chatbot Grok 3 in a live stream and disclosed the astonishing cost of training the model. Grok 3 is currently available to Premium + subscribers and has shown outstanding performance in various evaluation areas, even surpassing other competitors in the market, such as Gemini, DeepSeek, and ChatGPT. During the live stream, Musk mentioned that the training process for Grok 3 consumed a total of 200,000 NVIDIA GPUs, a figure that is truly shocking.

Today, xAI, led by Elon Musk, officially launched its latest model Grok3, which Musk described as currently the 'smartest AI on Earth.' It will compete with ChatGPT, Gemini, DeepSeek, and Claude. During the launch event, xAI showcased many benchmark tests, revealing that Grok3 outperformed Gemini2Pro, Claude3.5Sonnet, GPT4o, and Dee in mathematical, scientific, and coding benchmarks.

The graphics card market is about to enter a new round of intense competition. Nvidia has high hopes for its upcoming RTX5070 graphics card, claiming its performance can rival the RTX4090, with a price tag of only $549. However, whether this claim holds true remains to be seen in the market. Nvidia initially planned to release the RTX5070 in February, but according to the latest information revealed on its product page today, the release date has been postponed to March 5. Nevertheless, Nvidia still intends to launch sales on February 20, one week before AMD's scheduled event.

With the rapid development of artificial intelligence technology, tech giants are increasingly investing in new AI chips. Recently, news about OpenAI's self-developed AI chips has attracted widespread attention in the market, but industry experts believe this will not pose a substantial threat to Nvidia's stock price. Source of the image: The image is AI-generated, and the image licensing service provider Midjourney in a recent video report analyzed Nvidia's recent market dynamics and...

According to reliable sources, ChatGPT developer OpenAI is advancing its first self-developed artificial intelligence chip project, with the design expected to be completed in the coming months and delivered to TSMC for production. The project plans to use TSMC's advanced 3nm process technology and will be equipped with high bandwidth memory, with an overall architecture similar to NVIDIA's products. This strategic initiative began in October 2023, aimed at addressing the shortage and high costs of AI chips. Sources indicate that OpenAI views this training-focused processor as an enhancement.