Yazılar

Microsoft to Invest $300 Million in South Africa’s AI Infrastructure Expansion

/in /tarafından

Microsoft has announced plans to invest an additional 5.4 billion rand ($296.81 million) in South Africa by 2027 to expand its cloud and artificial intelligence (AI) infrastructure, catering to the increasing demand for Azure services in the region.

At a Johannesburg event on Thursday, Microsoft Vice Chair and President Brad Smith revealed the company’s strategy to support digital skills development. Microsoft will cover the cost of technical certification exams for 50,000 individuals in areas of high demand, including cloud architecture, AI, and cybersecurity.

This new investment builds on Microsoft’s previous expenditure of 20.4 billion rand, which was used to establish South Africa’s first enterprise-grade data centres in Johannesburg and Cape Town. These facilities have positioned the country as a critical hub for data centres to meet the growing computational needs of AI as businesses look to integrate the technology into their services.

Looking ahead, Microsoft plans to spend approximately $80 billion globally in fiscal 2025 to advance data centre infrastructure, with a focus on training AI models and deploying AI-powered applications and cloud services.

Dutch Chipmaker AxeleraAI Receives $66 Million EU Grant for AI Chip Development

/in /tarafından

AxeleraAI, a prominent Dutch chipmaker focused on artificial intelligence (AI), has secured a grant of up to 61.6 million euros ($66 million) to develop a new chip designed for data centres, in line with European Union efforts to strengthen its AI capabilities.

The EU’s initiative aims to close the AI competitiveness gap between Europe, the United States, and China, by funding domestic chipmakers and establishing publicly funded AI factories—data centres that will be accessible to European scientists, companies, and startups.

Fabrizio Del Maffeo, AxeleraAI’s CEO, expressed his pride in the grant and the opportunity to expand the company’s business. AxeleraAI, based in Eindhoven, Netherlands, won the funding from EuroHPC, the agency responsible for the EU’s supercomputer and AI factory network. The company plans to use the funds to develop a chip tailored for “inference” AI computing, a process crucial for running AI models once they have been trained.

While AxeleraAI is not aiming to challenge Nvidia’s dominance in the data centre space, particularly in training large AI models, Del Maffeo emphasized that their chip will provide high-performance solutions for inference computing once networks are ready for deployment.

In addition, the rise of cost-effective AI models, like China’s DeepSeek, may drive increased demand for inference computing, offering AxeleraAI a valuable market opportunity. The company’s upcoming Titania chip will be built on the open-source RISC-V standard, an alternative to systems like Intel and Arm, gaining traction in industries like automotive and China.

AxeleraAI’s current chip, Metis, is used in “edge AI” applications, such as analyzing CCTV footage in factories to identify safety issues. Founded in 2021, AxeleraAI has previously raised $200 million in investments, including from Samsung.

Connection Challenge Could Hamper France’s AI Hub Ambitions Despite Nuclear Power Advantage

/in /tarafından

France’s bid to become a global leader in artificial intelligence (AI) is facing potential setbacks due to delays in connecting power-hungry data centres to the national electricity grid. Despite boasting abundant nuclear energy—critical to attracting AI investments—the time it takes to establish the necessary infrastructure could slow down the country’s growth in the sector.

Macron’s Vision and Investments:

In a recent AI summit, French President Emmanuel Macron highlighted the country’s reliance on clean and reliable nuclear power as a key asset for AI development. With over 100 billion euros ($103.26 billion) in AI investment pledges, France is positioning itself as a major player in Europe’s race to catch up with the U.S. The pledge includes a $10 billion supercomputer facility by UK-based Fluidstack, which will require 1 gigawatt (GW) of power—equivalent to the output of one of France’s smaller nuclear reactors.

Brookfield, a global asset manager, also committed to spending 20 billion euros to develop AI infrastructure, including data centres. With 57 nuclear reactors, France produces over two-thirds of its electricity from nuclear power, and last year, it exported a record amount of energy, mostly to Italy.

Grid Connection Bottleneck:

The challenge lies not in generating the electricity but in connecting it to the data centres. France’s energy grid, though robust, may struggle to keep up with the surge in demand that AI data centres will bring. Experts warn that, while building data centres can be completed in under a year, constructing the necessary transmission lines to supply them with power could take up to five years.

Fatih Birol, executive director of the International Energy Agency, highlighted the issue at the AI summit, noting that countries with sustainable and affordable electricity supplies have a competitive edge. However, the slow pace of building the required transmission infrastructure presents a bottleneck for France’s ambitious plans.

Efforts to Expedite Construction:

Construction and permitting procedures in Europe are notably slower than in the U.S., as Anj Midha, a general partner at Andreessen Horowitz, pointed out. In response, state-owned utility EDF has identified four sites for data centres on its land, with existing grid connections and 2 GW of power already available. These sites are expected to reduce project timelines by several years, but challenges remain.

EDF is also in talks with companies to power additional 1 GW data centre projects, though the completion of these sites may still be delayed by the need for public consultation and the high costs associated with constructing new high-voltage power lines.