Nvidia is constructing a research and development supercomputer in northern Israel with a power capacity of 30 megawatts, with an expected investment of $500 million. This supercomputer is located in the Mevo'ot Eron area near Yokne'am Illit, covering an area of 10,000 square meters, and will house hundreds of the latest generation Blackwell liquid cooling systems. Although the exact number of deployed accelerators is not yet clear, Israeli media reports suggest that the configuration is expected to include 'thousands of' graphics processing units (GPUs).

As the UK government reaffirms its vision to become an AI superpower, American data center operator CoreWeave has announced the construction of two GPU data centers in the UK. These data centers will be located in Crawley and London Dock, developed in partnership with digital real estate companies Digital Realty and Global Switch. This investment totals £1 billion (approximately $1.2 billion), marking CoreWeave's further expansion in the UK market.

In 2024, Nvidia is actively investing in the field of artificial intelligence, having committed $1 billion to multiple startups. This initiative positions Nvidia as an indispensable supporter in the technological revolution, particularly in AI innovations propelled by its chip technology. With the rapid development of artificial intelligence, an increasing number of startups are looking to leverage Nvidia's technology and funding to accelerate their growth and market positioning. In recent years, the rise of AI technology has driven transformation across various industries. Against this backdrop, Nvidia, as a global leader in graphics,

Chip giant Nvidia is expanding its territory once again. Recently, Nvidia officially announced the acquisition of Israeli artificial intelligence startup Run:ai for $700 million. This deal has passed through the stringent scrutiny of regulatory bodies in Europe and the US, paving the way for Nvidia to further cement its dominance in the AI field. As the absolute leader in the GPU market, Nvidia currently holds about 80% of the market share. This strong position has attracted the attention of regulators. The European Commission raised concerns about the acquisition in October, fearing it could harm the market.

American technology company Nvidia has recently completed its acquisition of Israeli software company Run:ai, with the collaboration aimed at further enhancing the management efficiency of AI cloud computing. Although the specific acquisition amount has not been disclosed, reports suggest the deal is valued at approximately $700 million. Nvidia announced that it will open source Run:ai's software to support the AI ecosystem more broadly. Run:ai's core software helps clients efficiently schedule Nvidia GPU resources, thereby optimizing AI computations.

Israeli tech company Lightricks has recently launched a lightning-fast AI video processing platform called LTX Video (LTXV). This platform uses advanced artificial intelligence models that can run on commonly used graphics processing units (GPU). Released in late November, LTXV can generate a 5-second AI video clip at a resolution of 768x512 in just 4 seconds, making it stand out among other AI video platforms. With its 2 billion parameters, it is capable of even...

With the rapid development of artificial intelligence (AI), machine learning (ML), and high-performance computing (HPC) across various industries, AMD has recently launched ROCm 6.3, an open-source platform designed specifically for AMD Instinct GPU accelerators. The platform aims to help developers tackle the demands of computing resources, memory management, and software optimization to improve work efficiency. ROCm 6.3 integrates multiple advanced tools and optimization features, striving for a balance between performance and efficiency.

Recently, NVIDIA's newly launched Blackwell AI chip has encountered overheating issues in servers, raising concerns among customers about their ability to timely activate new data centers. According to The Information, the Blackwell graphics processing units (GPUs) are overheating when connected to server racks designed to accommodate 72 chips. Insiders reveal that NVIDIA's engineering team is actively addressing this issue, and the company's staff have already begun...

Recently, NVIDIA unveiled its brand-new Blackwell platform and showcased its initial performance in the MLPerf Training 4.1 benchmark tests. According to the test results, Blackwell achieved a doubling of performance in certain aspects compared to the previous Hopper platform, garnering widespread attention in the industry. In the MLPerf Training 4.1 benchmark tests, the Blackwell platform excels in LLM (Large Language Models).

American semiconductor company AMD has recently announced a global workforce reduction of about 4%, with the number of layoffs expected to be under 1,000. This move comes as AMD continues to surpass Intel in the x86 processor market but faces fierce competition from industry giant Nvidia in its transition from graphics processing units (GPU) to artificial intelligence (AI) accelerators. An AMD spokesperson stated, 'To align our resources with our biggest growth opportunities, we are taking some targeted steps.'

Against the backdrop of growing global demand for advanced artificial intelligence infrastructure, Silicon Valley's GPU cloud computing provider GMI Cloud announced the completion of $82 million in Series A funding. The funding was led by Headline Asia and supported by notable partners such as Banpu Next and Wistron. Following this round of funding, GMI Cloud's total capital has exceeded $93 million, with the funds aimed at opening a new data center in Colorado.

Recently, NVIDIA's latest generation Blackwell GPU has sparked unprecedented demand, with CEO Jensen Huang revealing in an investor meeting that the supply for the next 12 months is completely sold out. This phenomenon is similar to the explosive demand for the Hopper GPU a few months ago, indicating a strong market desire for high-performance computing. This surge in sales is primarily driven by traditional clients, including AWS, Google, Meta, Microsoft, Oracle, and CoreWeave.