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, AMD announced it will lay off approximately 1,000 employees, which is about 4% of its global workforce. The layoffs primarily affect sales and marketing positions in the gaming and consumer PC departments, marking the chip giant's full transition towards the artificial intelligence chip sector. In the thriving AI chip market, NVIDIA currently holds a dominant 80% market share. Analysts predict that by 2028, the AI chip market will reach a scale of $500 billion. AMD's resource restructuring aims to capture a larger share in this rapidly growing market.

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.'

At the latest corporate event, NVIDIA CEO Jensen Huang stated that AI employees will soon become a standard feature in the modern workplace. He emphasized that with the advancement of technology and the widespread application of AI, it will play an increasingly important role across various industries. Note: Image generated by AI, licensed through Midjourney. Huang pointed out that AI can not only enhance work but also take on tedious and repetitive tasks, freeing human employees.

According to reports, Microsoft will spend nearly $10 billion renting servers from AI startup CoreWeave between 2023 and 2030. This amount accounts for more than half of the total $17 billion contract signed between CoreWeave and its customers. Neither CoreWeave nor Microsoft responded immediately to requests for comment. Previously, it was reported that CoreWeave is preparing for an initial public offering (IPO) in 2025. The company recently secured a $650 million credit line from several investment banks.

Cisco Systems recently launched two data center devices optimized for artificial intelligence (AI) models at a partner event in Los Angeles. These new systems will further enhance Cisco's hardware product lineup to help enterprises efficiently handle AI-related workloads. The first product line introduced is the UCS C885A M8 series servers, which can support up to eight graphics processing units (GPUs), providing robust computing power for enterprise users. Cisco offers three GPU options for this series.

In India, artificial intelligence is rapidly transforming the government's digital infrastructure, enabling more underserved communities to benefit. Recently, at the NVIDIA summit held in Mumbai, Sharmishtha Dasgupta, Deputy Director of the National Informatics Centre, shared the latest updates on how AI is enhancing e-governance. She mentioned that AI systems can now handle 500,000 to 700,000 queries per month, operating around the clock to ensure thousands of citizens receive timely assistance. These queries cover a wide range of topics, such as registration and eligibility.

OpenAI officially announces its entry into the AI chip sector through collaboration with chip giant Broadcom, planning to develop its first custom AI inference chip. This strategic move not only marks a significant step towards supply chain autonomy for OpenAI but also targets NVIDIA's current dominance in the AI chip market. According to Reuters, OpenAI has assembled a specialized R&D team of about 20 members, including the chief engineer who participated in the development of Google's Tensor processors. The project will be led by Broadcom for chip design and TSMC for manufacturing.

Recently, NVIDIA and Microsoft launched a new initiative aimed at promoting AI innovation in the healthcare sector. This collaboration combines NVIDIA's Inception global program with Microsoft's startup support program, intending to assist more startups in enhancing their medical devices and workflows. Currently, the two companies have hundreds of startups participating in these ecosystems. Note: The image is AI-generated and licensed through Midjourney. Through this collaboration, startups will have easier access to acceleration resources.

Nvidia has recently engaged in a series of collaborations with local businesses in India to promote its artificial intelligence chips and technologies. The CEO of the American chip design company, Jensen Huang, announced at an AI summit in Mumbai that Nvidia has partnered with one of India's most valuable companies, Reliance Industries, to co-establish the infrastructure for AI applications. Additionally, tech company Tech Mahindra will use Nvidia's chips and software to develop a Hindi AI model called "Indus2.0."

At the recent NVIDIA AI Summit, CEO Jensen Huang expressed high recognition for India's achievements in artificial intelligence (AI). He noted that there are currently over 2,000 AI companies participating in NVIDIA's incubation program in India, as well as over 100,000 trained AI developers. This number exceeds 650,000 globally, showcasing India's strategic position in AI technology development, which Huang refers to as 'Sovereign AI', meaning countries choose to independently build their own AI infrastructure.