NVIDIA

On October 15, NVIDIA wrote online announcing the official opening of DGX Spark, a desktop-grade product called "the world's smallest AI supercomputer." On the day of the sale, the first equipment was hand-delivered to Elon Musk by NVIDIA CEO Hoang In-hoon at the Starbase base of SpaceX. It is known that DGX Spark is based on Grace Blackwell architecture, and a single machine can provide 1 Petaflop AI performance with 1..

REUTERS YESTERDAY REPORTED THAT INGWEIDA ANNOUNCED THAT IT WOULD SPEND $5 BILLION TO ACQUIRE SHARES IN THE INTEL CONVENTION 4% AND ENTER INTO AN IN-DEPTH COOPERATION AGREEMENT WITH IT COVERING PC AND DATA CENTRE CHIPS. NOT ONLY DID THIS MOVE MAKE INTEL AN IMPORTANT SHAREHOLDER, BUT IT ALSO MARKED A STRATEGIC ALLIANCE BETWEEN TWO AMERICAN CHIP GIANTS IN THE AI ERA. IN THE EARLY MORNING OF THIS MORNING, YING WEIDAR STATED IN HIS OFFICIAL TWEETS THAT HE WOULD PURCHASE THE INTEL STOCK AT A PRICE OF $23.28 PER SHARE, WHICH WAS SLIGHTLY LOWER THAN THE BOOK PRICE ON THE PREVIOUS DAY OF THE DEAL OF $24.90, BUT HIGHER THAN THE UNITED STATES GOVERNMENT'S PREVIOUS RATE OF 20.47 DOLLARS PER SHARE..

May 22 - NVIDIA has created the AI Blueprint for Video Search and Summarization (VSS), powered by the NVIDIA Metropolis platform, which is now fully available to provide developers with the tools to build and deploy AI intelligences for analyzing large volumes of live and archived video. A range of visual AI intelligences and productivity assistants powered by Visual Language Models (VLMs) will be available soon. Combining computer vision modeling with hyper-intelligent Large Language Models (LLMs), these video analytics AI Intelligentsia can help organizations check...

At a meeting with analysts last week, billionaire Oracle co-founder and CTO Larry Ellison told the audience that he and Elon Musk, the world's richest man, took NVIDIA CEO Jensen Huang to Nobu Palo Alto for dinner and "begged" Huang to give them more GPUs. "I would describe the dinner as Oracle - Elon and I begging Jensen for GPUs," Ellison recalls. "Please take our money. Please take our money. By the way, I'm having dinner. No, no, no, eat more. We need you to have more...

Recently, Sakana AI, an AI research and development company headquartered in Tokyo, announced the successful completion of a round of A financing of more than $100 million. The main investors in this round of financing include New Enterprise Associates, Khosla Ventures and Lux Capital, and NVIDIA also participated. Sakana AI's goal is to promote AI research through nature-inspired intelligence and foundational models, especially in the areas of evolutionary optimization and sparsity. Sak…

Recently, the open source platform Hugging Face and NVIDIA announced an exciting new service, Inference-as-a-Service, which will be driven by NVIDIA's NIM technology. The launch of the new service allows developers to prototype more quickly, use open source AI models provided on the Hugging Face Hub, and deploy them efficiently. The news was announced at the ongoing SIGGRAPH2024 conference. This…

NVIDIA's market value has experienced a dramatic evaporation in the past two days, with a total of more than $200 billion (about 1.45 trillion yuan), causing it to fall from the throne of the world's highest market value to third place. On Friday, the company's stock price closed down more than 3%, with a price per share fixed at $126.57. The cumulative decline for several consecutive days exceeded 6%, and the market value shrank to about 3.1 trillion US dollars, lagging behind technology giants Apple and Microsoft. Despite the short-term fluctuations in market value, Wall Street analysts remain optimistic about NVIDIA's future prospects. Melius R…

Nvidia unveiled new RTX technologies at Computex to power new GeForce RTX AI laptops. Among them, the Project G-Assist technology demo provides context-aware assistance for PC games and applications. The technology debuted in Studio Wildcard's ARK: Survival Ascended game, providing players with personalized assistance with game knowledge. In addition, Nvidia launched the first PC-based…

Musk plans to build an AI supercomputer for his AI company xAI, using Nvidia graphics cards, called a "computing megafactory," which is expected to be completed in the fall of 2025. The supercomputer is expected to be at least four times larger than the strongest clusters currently used by competitors such as Meta. Source: Image generated by AI, image licensed to Midjourney Musk personally guarantees that the supercomputer will be completed in time and will use Nvidia H100 GPUs. Reports say xAI may be...

Nvidia CEO Jensen Huang highlighted in the Q1 2025 earnings call that there are currently 20,000 GenAI startups using Nvidia’s accelerated computing platform. These companies cover a variety of fields, from multimedia to digital characters, design to application production, digital biology, and more. This surge in demand has left Nvidia unable to supply, and the CEO said this situation will continue until 2024. At the same time, Nvidia is actively promoting Ethernet networking to expand the field of artificial intelligence computing. The CEO…

NVIDIA is hiring experienced AI engineers in India to join its partner companies. Selected candidates will join the NVIDIA Partner Network as employees responsible for driving adoption of NVIDIA technology and delivering innovative designs in data center, edge, and cloud deployments. These positions are based in Bangalore and New Delhi and focus on Deep Learning Solution Architect positions. The position requires an engineering degree (BE/B.Tech/MS/MTech), preferably in Computer Science/ Information Technology/ Electrical/ Electronics or equivalent. …

Nvidia CEO Jensen Huang personally delivered the first Nvidia DGX H200 to OpenAI's offices in San Francisco, a move that highlights the close ties between the two giants of the artificial intelligence industry. OpenAI President and co-founder Greg Brockman tweeted a photo showing the event, which also included OpenAI CEO Sam Altman. Nvidia's DGX H200 is a major advancement in artificial intelligence technology. This processor…

Nvidia has made a strong case for itself as a driver of robotics innovation in recent days with projects like Isaac and Jetson. At its annual GTC developer conference, the company also announced that it would further solidify its position in the humanoid race with the GR00T project, a move that was seen as a tribute to Marvel. Dubbed a “universal base model for humanoid robots,” the GR00T project aims to build a unified AI platform for the many robot manufacturers that have emerged recently. These manufacturers include 1X Technologies, Ag…

On March 10, three American writers filed a class action lawsuit against chipmaker Nvidia in the San Francisco federal court, accusing the company of using their copyrighted works to train the artificial intelligence (AI) system NeMo without authorization. According to the lawsuit, writers Brian Keene, Abdi Nazemian and Stewart O'Nan claimed that their works were part of a data set of nearly 200,000 books that were used to train NeMo to simulate...

On March 8, NVIDIA, the global leader in AI, launched the Generative AI (AIGC) professional certification on its official website. Passing the exam will earn you an industry-recognized authoritative certificate. At the same time, NVIDIA also launched corresponding training courses, including generative AI explanation, introductory/basic knowledge of deep learning, natural language processing based on Transformer, custom application development using large language models, deployment, customization, and fine-tuning of large language models, etc., to help students pass the exam smoothly. This certification supports remote registration and examination, and is suitable for software engineers, data engineers, cloud solution…

If you ask what the most important technology trend is, I believe most people will think of AI first. In the past year, the global craze for generative AI has driven unprecedented development of the artificial intelligence industry. At the same time, as a highly disruptive technology, generative AI is also rapidly penetrating into everyone's daily life, production and entertainment. It can be said that knowing AI, understanding AI, and being able to use AI are new requirements for everyone in this era. In order to help people further understand the AI hardware, software and tools they are using, and to improve people's work, entertainment and...

Nvidia CEO Jensen Huang said on Friday that artificial general intelligence (AGI) could be achieved within five years, depending on some definitions. Huang, the world's leading maker of AI chips used to create systems like OpenAI's ChatGPT, responded to a question at an economic forum at Stanford University about how long it would take to achieve the long-standing goal of computers thinking like humans. Huang said the answer depends largely on the definition of the goal. If the definition is being able to pass a human test, Huang said AI general intelligence...

NVIDIA officially launched the new generation GH200 Grace Hopper super chip platform, which is the world's first to use HBM3e high-bandwidth memory and integrate the CPU and GPU on a single motherboard for the first time, which can meet the world's most complex generative AI workload requirements. Today, the first PC equipped with GH200 Grace Hopper appeared in a German store, with a size of about 19 inches. In terms of positioning, it is obviously not suitable for games and traditional workstations. A more accurate positioning should be the main AI work of running large language models locally...

NVIDIA AI GPUs are undoubtedly the current hard currency, and everyone from tech giants to small businesses is scrambling for them. Meta (Facebook) CEO Zuckerberg recently revealed that in order to train the next-generation large language model Llama 3, Meta is building a huge computing platform, including purchasing up to 350,000 NVIDIA H100 GPUs by the end of this year. By then, combined with other GPUs, Meta's total computing power will be equivalent to almost 600,000 H100s! According to market research firm Omdia, Meta bought...

NVIDIA NeMo, the leading open source conversational AI toolkit, announced the release of the Parakeet ASR model family, a series of state-of-the-art automatic speech recognition (ASR) models that transcribe spoken English with excellent accuracy. Developed in collaboration with Suno.ai, the Parakeet ASR models are a breakthrough in speech recognition, paving the way for more natural and efficient human-computer interaction. According to the developers, the models are robust to non-speech segments such as music and silence, and outperform OpenAI in benchmarks…

NVIDIA and Lenovo today announced an expansion of their partnership to deliver new hybrid solutions and engineering collaborations to support their shared vision to bring the power of generative AI to every business. Working closely with NVIDIA, Lenovo will deliver fully integrated systems that bring AI-driven computing to wherever data is generated, from edge to cloud environments, helping companies easily deploy customized generative AI applications to drive innovation and transformation across all industries. Lenovo Chairman and CEO Yuanqing Yang and NVIDIA Founder and CEO Jen-Hsun Huang at the 2018 Beijing International Auto Show in Germany…

With the announcement of "tougher" export restrictions on Nvidia's AI-based GPUs in China, the US government chose to implement them immediately, portraying the significance of the new trade policy. The United States believes that China will gain military advantages through artificial intelligence and plans to immediately restrict the export of Nvidia's AI GPUs. Recently, the Biden administration has been "influenced" by China's huge artificial intelligence development and hopes to thwart it with a new wave of restrictions. According to US Commerce Secretary Gina Raimondo, the sanctions are taken to hinder China's "military" growth through artificial intelligence applications…

In the field of artificial intelligence, developers and users have always faced a challenge, which is the need for more customized and detailed responses from large language models. While these models, such as Llama2, can generate human-like text, they are often required to provide answers that are truly targeted to the unique needs of individual users. However, existing methods, such as supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF), have some limitations, resulting in generated responses that may appear mechanical and complex. Source Note: The image is generated by AI, and the image is authorized by Midjourney NVIDIA Research…