After a successful entrepreneurial journey, former SmartThings CEO Alex Hawkinson embarks on a new startup adventure. His new company BrightAI has just completed a $15 million seed funding round exclusively led by Upfront Ventures, unveiling this tech company deeply focused on smart monitoring for infrastructure. BrightAI was founded in 2019 by Hawkinson along with Nathan Hanks and Doug.

Recently, OpenAI unveiled a new initiative at a policy event in Washington, calling for enhanced cooperation among the United States and its allies in the field of Artificial Intelligence (AI) to address competition from China. OpenAI's proposal aims to 'revitalize the American Dream' and seeks to enhance the United States' influence in the AI domain through global collaboration. According to Bloomberg, OpenAI's policy blueprint suggests that cooperation should initially occur among the U.S. and its neighboring countries, gradually expanding to include allies around the world. This collaboration will focus on

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.

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.

In the global wave of AI, India, a tech powerhouse, is experiencing significant market opportunities. According to a report jointly released by the IT industry association Nasscom and consulting firm BCG, the AI market in India is expected to reach $17 billion by 2027. Against this backdrop, the startup Neysa, led by seasoned tech entrepreneur Sharad Sanghi, emerged with the aim of capturing this growth opportunity by providing AI solutions to local and multinational companies. This Mumbai-based startup focuses on...

According to O'Reilly's '2024 Security State' report, security teams are facing a significant skills gap in artificial intelligence (AI) and cloud implementation. The report indicates that nearly 39% of security team respondents reported that cloud computing is a field requiring more skills that are difficult to find. Cloud security is a complex domain that requires the adoption of concepts like access control and the principle of least privilege, applied to the APIs provided by cloud vendors for control. Any errors in services can jeopardize the entire infrastructure, hence Infrastructure as Code.

In today's rapidly advancing world of artificial intelligence (AI) technology, Microsoft and BlackRock have taken a significant step forward. The two giants announced the joint launch of a fund exceeding $30 billion, focusing on AI infrastructure investment, primarily covering data centers and energy projects. This major announcement was made on Tuesday and immediately generated a tremendous response in the global tech and finance circles. With the continuous advancement of AI technology, particularly the widespread application of deep learning and large-scale data processing models, the demand for computing power has shown explosive growth.

The US Department of Commerce has proposed reporting requirements for companies developing cutting-edge AI models and firms providing infrastructure, in response to the Biden administration's executive order on 'safe, reliable, and trustworthy artificial intelligence development and usage.' Key elements of the new regulations include: AI models with over 10^26 integer or floating-point operations must report, with the threshold for biological sequence data models set at 10^23; there is a requirement to disclose model capabilities, information security protections, and red team testing results to ensure AI technologies meet safety standards, protecting against cyberattacks and misuse by non-state actors.

Chinese Academy of Engineering academician Wang Jian shared his in-depth thoughts on AI, AI+, and AI infrastructure at the opening ceremony of the 2024 Bund Conference. He emphasized that AI+ is not merely a simple integration of AI and industry, but rather the integration of data, models, and computing power, with cloud computing serving as the infrastructure of the AI era. Wang Jian pointed out that although artificial intelligence has a long history, it has only truly impacted industries for the past 7 years, with the critical turning point being Google’s introduction of the Transformer in 2017. Under the logic of AI+, ChatGPT is not just an application, but a broader application platform.

Sam Altman is advancing a large-scale global AI infrastructure plan aimed at supporting AI development by establishing data centers in multiple U.S. states, enhancing energy supply, and boosting semiconductor manufacturing capabilities. The plan is expected to cost several billion dollars, seeking support from the U.S. government, and aims to form a coalition of global investors. Investors from Canada, South Korea, Japan, and the UAE are also considering participation. OpenAI is undergoing a new round of funding, targeting to raise several billion dollars, aiming to increase its valuation to $100 billion.

Wuwen Chip Quasar, an AI startup established just over a year ago, recently secured nearly 500 million in Series A financing, bringing its total financing to over 1 billion, making it the king of financing in the AI infrastructure sector. Its shareholders include state-owned assets, local funds, and notable venture capital institutions such as Shunwei Capital and Dacheng Financial Intelligence. One of the founders, Wang Yu, is the head of the Department of Electronics at Tsinghua University, and many team members have Tsinghua backgrounds with rich research experience. In 2016, DeepInsight Technology, incubated by Tsinghua NICS-EFC Laboratory, was acquired by Xilinx for 300 million.

AI infrastructure startup 'Wu Wen Xin Qiong' announced the completion of nearly 500 million Yuan in Series A financing, setting the record for the largest single financing amount for domestic AI Infra startups. This round was co-led by the Social Security Fund Zhongguancun Independent Innovation Fund, Qiming Venture Partners, and Hongtai Fund, with participation from strategic investors including Lenovo Capital, Xiaomi, and Softcom. The funds will primarily be used to enhance talent acquisition, deepen technology research and development, drive product commercialization, and strengthen ecosystem collaboration. 'Wu Wen Xin Qiong' was established just 16 months ago.

Dell Technologies Group's second-quarter fiscal report for 2025 demonstrates strong performance, with total revenue reaching $25.026 billion, a year-over-year increase of 9%. The Infrastructure Solutions Group performed impressively, generating $11.6 billion in revenue, a 38% increase, with server and networking revenue jumping 80% to $7.7 billion. However, the storage business reported revenue of $4 billion, down 5%. The Client Solutions Group's revenue was $12.4 billion, reflecting a 4% year-over-year decline. Demand in the AI sector continues to climb, with demand for AI-optimized servers at $3.2 billion, a 23% quarter-over-quarter increase.

On August 23, 2024, the well-known Chinese artificial intelligence company Yunzhisheng announced the launch of its latest research and development achievement – the Shanhai Multimodal Large Model in Beijing. The Shanhai Multimodal Large Model is part of Yunzhisheng's Atlas AI infrastructure, capable of receiving and processing inputs from various modalities, including text, audio, and images, and generating any combination of text, audio, and image outputs in real-time. This capability enables the Shanhai model to not only conduct efficient voice interactions but also provide a conversational experience that is close to natural human dialogue.

AMD has acquired AI infrastructure company ZT Systems for $4.9 billion, aiming to accelerate the market adoption of its Instinct data center chips. ZT Systems, a partner of Microsoft, Meta, and Amazon, provides customized computing infrastructure, making this acquisition a significant strategic move for AMD. Through this deal, AMD not only gains approximately 1,000 engineers but also accelerates the deployment of AI solutions, with plans to launch the new MI350 chip in 2025 to compete with Nvidia.

Oracle deepens its partnership with Nvidia by integrating Nvidia L40S and H100 Tensor Core GPUs into its cloud infrastructure (OCI) to provide AI acceleration services. The L40S GPU serves as a general-purpose AI accelerator suitable for inference, small model training, and graphics-intensive applications. The addition of the H100 GPU offers more flexibility for businesses of various sizes to leverage AI capabilities. Oracle has also optimized it....

On July 9th, Musk announced that his artificial intelligence company xAI is building a supercomputer with 100,000 NVIDIA H100 GPUs, expected to be delivered and begin training by the end of this month. This move marks the termination of xAI's negotiations with Oracle to expand the existing agreement and rent more NVIDIA chips. Musk emphasized that this will become "the most powerful training cluster globally with a significant lead." He said that the core competitive edge of xAI lies in speed, "