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Dubai-based DAMAC to invest $20b in US data centres

Mohammed Fahad
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Dubai-based DAMAC to invest $20b in US data centres
  • As DAMAC seeks to capitalise on the burgeoning demand for data centres, it must navigate these geopolitical tensions, which could impact both market opportunities and operational dynamics.
  • Financial commitments can enhance US’ technological infrastructure, critical for maintaining competitiveness in a rapidly evolving global market.

Dubai-based developer DAMAC Properties has promised a$20 billion investment in the US data centre industry, a significant implications for both the economic landscape of the United States and the broader geopolitical context.

The commitment, articulated by DAMAC’s chairman, Hussain Sajwani, during a high-profile meeting with President-elect Donald Trump at Mar-a-Lago, underscores a growing trend of foreign investment in domestic industries, particularly those related to technology and data infrastructure.

DAMAC owns the only Trump-branded golf course in Dubai, which opened in 2017, and the billionaire celebrated the New Year with Trump in Florida.

In recent years, the data centre industry has emerged as a critical pillar of the global economy, driven by an insatiable demand for digital services and the burgeoning field of artificial intelligence (AI).

Prioritising economic growth

The introduction of generative AI technologies, such as OpenAI’s ChatGPT, has precipitated a wave of investments aimed at enhancing the infrastructure necessary to support these advancements.

Companies like Microsoft have announced substantial budgets, such as its projected $80 billion expenditure to bolster AI capabilities this fiscal year. Against this backdrop, Sajwani said that DAMAC is prepared to invest even more than the stated $20 billion if market opportunities arise reflects an acute awareness of the potential for growth in this sector.

Trump’s administration has prioritised economic growth, often touting investments as key components of his economic strategy. The recent announcement follows a historical pattern within Trump’s tenure, where high-profile investment pledges, such as the discontinued $10 billion Foxconn project in Wisconsin, have sparked both optimism and scepticism.

Complex challenges

While such investments are intended to stimulate job creation and bolster domestic industries, the outcomes are not guaranteed. The political and economic climate remains complex, especially as Trump moves to implement higher tariffs on Chinese goods, directly influenced by growing concerns over national security and technological competition.

The strategic pivot could pave the way for enhanced domestic production capacities, particularly in the data centre arena, and reduce reliance on foreign technology.

Moreover, the context of the US-China relations cannot be overlooked. The tightening of restrictions on the export of specialized AI chips to China under the Biden administration, coupled with Trump’s intent to place hard-liners in key diplomatic positions, signals an intensified focus on curbing China’s influence in critical technology sectors.

As DAMAC seeks to capitalise on the burgeoning demand for data centres, it must navigate these geopolitical tensions, which could impact both market opportunities and operational dynamics.

The partnership between US entities and foreign investors like DAMAC signifies a broader trend of collaboration in the face of competition. By leveraging financial commitments such as Sajwani’s declaration, the US can enhance its technological infrastructure, critical for maintaining competitiveness in a rapidly evolving global market.

The implications of such investments extend beyond mere financial transactions; they may bolster the nation’s cybersecurity posture, support technological innovation, and activate regional economies.

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Researchers address aerodynamic drag challenges faced by AVs

Naushad K. Cherrayil
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Researchers address aerodynamic drag challenges faced by AVs
  • Researchers devised an automated computational platform that facilitated the optimisation of sensor shapes integral to AV design.

Caption: Deformation control volumes are set for the front sensor, front-side sensor, roof sensor, and rear-side sensor, which significantly impact the aerodynamic drag coefficient. The sensor shapes can be modified by adjusting the control points on these control volumes.

The advent of information technology and artificial intelligence has heralded a new era in transportation, particularly through the development of autonomous vehicles (AVs).

The transformative innovation is not only revolutionizing logistics delivery and low-speed public transportation but also amplifying the call for improved efficiency and sustainability in vehicular technology.

Externally mounted sensors

While significant attention has been dedicated to refining control algorithms aimed at ensuring safety, an equally critical area that requires scrutiny is the aerodynamic performance of these vehicles.

Enhancing this aspect is crucial for reducing energy consumption and extending driving ranges, an objective that remains pertinent as AVs integrate further into everyday use.

Deformation control volumes are set for the front sensor, front-side sensor, roof sensor, and rear-side sensor, which significantly impact the aerodynamic drag coefficient. The sensor shapes can be modified by adjusting the control points on these control volumes.

Research conducted by a team from Wuhan University of Technology underscores the pressing need to address the aerodynamic drag challenges faced by AVs.

A pivotal concern arises from the externally mounted sensors—such as cameras and light detection and ranging (LiDAR) instruments—that are indispensable for the operational effectiveness of AVs.

Yiping Wang, one of the study’s authors, highlights a significant drawback of such configurations: “Externally mounted sensors significantly increase aerodynamic drag, particularly by increasing the proportion of interference drag within the total aerodynamic drag.”

A meticulous process

The observation accentuates the necessity for a holistic optimisation approach during the design phase, wherein the interactions between sensors and the geometric dimensions affecting aerodynamic drag can be meticulously addressed.

Employing a robust blend of computational and experimental methodologies, the researchers devised an automated computational platform that facilitated the optimisation of sensor shapes integral to AV design.

Through a meticulous process that integrated experimental design, substitute modeling, and optimisation algorithms, the researchers successfully reengineered the structural configurations of the AV sensors.

The efficacy of these enhancements was validated through a series of simulations comparing both the baseline and optimised models. Notably, a wind tunnel experiment corroborated the findings, demonstrating a measurable reduction in aerodynamic drag.

The results of the optimisation process are compelling; the study revealed a striking 3.44 per cent decrease in the total aerodynamic drag of the autonomous vehicle. Simulations indicated a more profound reduction of 5.99 per cent in the aerodynamic drag coefficient when juxtaposed with the base model.

Furthermore, improvements in airflow dynamics were observed, characterised by diminished turbulence around the sensors and more favourable pressure distributions at the rear of the vehicle.

These aerodynamic enhancements not only signify progress in the quest for efficiency but also align with broader sustainability goals as the world grapples with energy consumption challenges.

Looking toward the future, the implications of this research are profound.

As the adoption of autonomous vehicles becomes more prevalent across various sectors, particularly in passenger transport and logistics applications, the need for aerodynamically efficient designs is paramount.

Wang eloquently asserts that the outcomes of this study could inform future design paradigms, facilitating the construction of autonomous vehicles capable of traveling longer distances with reduced energy expenditures.

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Tata Electronics gets green signal to acquire major stake in Pegatron India

Mohammed Fahad
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Tata Electronics gets green signal to acquire major stake in Pegatron India
  • Move signals Tata’s deeper commitment to becoming a formidable player in the smartphone manufacturing sector, particularly in collaboration with Apple.
  • The acquisition not only strengthens Tata’s iPhone manufacturing capabilities but also aligns with the Indian government’s initiatives to promote domestic manufacturing under the “Make in India” program.

The approval by the Competition Commission of India (CCI) for Tata Electronics’ acquisition of a majority stake in Pegatron Technology India marks a significant development in India’s electronics manufacturing landscape.

The transaction not only highlights the expansion ambitions of Tata, one of India’s largest conglomerates, but also illustrates the shifting dynamics in the global supply chain amid increasing geopolitical tensions, particularly between China and the United States.

Tata Electronics Pvt Ltd (TEPL), a wholly-owned subsidiary of Tata Sons, has made substantial strides in the manufacturing sector, particularly in the realm of high-precision components for large-scale customers.

The approval from the CCI allows TEPL to acquire Pegatron India in two tranches, facilitating a strategic consolidation that could enhance the efficiencies and capabilities of both businesses. Pegatron India, a subsidiary of Pegatron Corporation, is well-regarded for its provision of electronics manufacturing services (EMS), specifically for smartphones, with products exported to key global markets including North America, Asia, and Europe.

Economic uncertainties

The transaction is not merely a financial manoeuvre but also signals Tata’s deeper commitment to becoming a formidable player in the smartphone manufacturing sector, particularly in collaboration with Apple.

The diversification of Apple’s supply chain is critical as the company seeks alternatives to its historically China-centric production model.

The political and economic uncertainties stemming from US-China relations compel not only Apple but also its supply chain partners to explore more stable and reliable manufacturing ecosystems.

The integration of Pegatron into Tata Electronics is expected to enhance Tata’s existing infrastructure, particularly as the company already operates an iPhone assembly plant acquired from Wistron in Karnataka.

Moreover, plans to develop a new facility in Hosur, Tamil Nadu, underscore Tata’s aggressive growth strategy in this sector. The recent acquisition of TEL Components, another wholly-owned subsidiary of TEPL, further consolidates its capabilities and resources, positioning Tata Electronics to compete more effectively with other major players, such as Foxconn.

Competitive environment

The CCI’s oversight ensures that such combinations do not lead to monopolistic practices, fostering a competitive environment that benefits the consumer.

By scrutinising significant mergers and acquisitions, the regulator plays a crucial role in safeguarding market integrity and promoting fair business practices, which is particularly pertinent in rapidly evolving industries such as electronics manufacturing.

Tata’s expansive efforts in the smartphone manufacturing sector are indicative of a broader trend within India to enhance its position as a key player in global supply chains.

The acquisition of Pegatron Technology India not only strengthens Tata’s iPhone manufacturing capabilities but also aligns with the Indian government’s initiatives to promote domestic manufacturing under the “Make in India” program.

The strategic move could provide a catalyst for job creation, technology transfer, and an overall boost to India’s manufacturing prowess.

Nvidia shows its technological prowess at Las Vegas CES

Mohammed Fahad
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Nvidia shows its technological prowess at Las Vegas CES
  • Innovations not only illustrate Nvidia’s commitment to expanding its business horizons but also signal a transformative shift in how technology can be harnessed for various applications.

Nvidia unveiled a series of groundbreaking products at the Consumer Electronics Show (CES) in Las Vegas, further solidifying its position as a leader in the technology sector.

CEO Jensen Huang presented advancements aimed at enhancing artificial intelligence (AI) applications, particularly in robotics and autonomous vehicles, alongside new gaming chips and the company’s inaugural desktop computer.

These innovations not only illustrate Nvidia’s commitment to expanding its business horizons but also signal a transformative shift in how technology can be harnessed for various applications.

At the heart of Nvidia’s presentation was the introduction of the Cosmos foundation models, a suite of AI tools designed to generate photo-realistic video content. This technology promises to revolutionise the training of robots and self-driving cars by creating synthetic training data that adheres to the laws of physics.

By enabling users to input text descriptions to generate videos, the Cosmos models significantly reduce the costs associated with traditional data collection methods, such as deploying vehicles for real-world data gathering or employing humans to teach robots.

The innovative approach has the potential to democratize access to high-quality training data, mirroring the impact that large language models, like Meta’s Llama 3, have had on enterprise AI applications. Huang expressed optimism that Cosmos could similarly elevate the fields of robotics and industrial AI, thus opening new avenues for growth.

However, the road ahead is not without challenges. Analysts have raised concerns about the reliability, affordability, and widespread adoption of these products. While the potential of robotics and AI is immense, the viability of business models that rely on these technologies remains uncertain.

Elevating gaming experience

The comparison to niche markets, such as the metaverse and autonomous vehicles, highlights the need for Nvidia to ensure that its innovations not only captivate interest but also deliver tangible value to consumers and businesses alike.

In addition to advancements in AI, Nvidia showcased its new gaming chips, the RTX 50 series, which leverage the company’s proprietary ‘Blackwell’ AI technology. These chips promise to elevate gaming experiences by delivering graphics that rival cinematic quality.

Key features include enhanced shaders that add realism through imperfections and improved human facial representations, addressing a common area of concern for gamers. With prices ranging from $549 to $1,999, the RTX 50 series is positioned to drive short-term sales growth, as highlighted by technology consultant Ben Bajarin.

Moreover, Nvidia’s foray into desktop computing with Project DIGITS marks a significant milestone. Priced at $3,000, this computer is tailored for software developers, providing them with the powerful tools necessary to test and develop AI systems efficiently.

Intelligent vehicle technologies

By integrating a chip from its data centre offerings with a central processor developed in collaboration with MediaTek, Nvidia aims to streamline the development process for AI applications, further embedding itself in the tech ecosystem.

Nvidia’s partnership with Toyota Motor Company to supply Orin chips and an automotive operating system for advanced driver assistance systems underscores the company’s ambitions in the automotive sector. With projected revenue growth in automotive hardware and software, Nvidia is poised to capitalise on the increasing demand for intelligent vehicle technologies.

As CES 2025 unfolds, Nvidia’s stock has reached a record high, reflecting investor confidence in its innovative trajectory. With a market valuation of $3.66 trillion, the company stands as the second-most valuable publicly traded entity, trailing only Apple.

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Microsoft to invest $3b over two years in India

Ana Mary Joseph
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Microsoft to invest $3b over two years in India
  • Sets ambitious goals to train 10m individuals in AI across India by 2030, building on last year’s success of upskilling 2.4m people.
  • Nadella noted the immense potential within the local tech community, particularly its contributions to AI projects, such as GitHub Copilot.

Microsoft announced a landmark investment of $3 billion aimed at enhancing its Azure cloud and artificial intelligence (AI) capabilities in India.

The initiative, articulated by CEO Satya Nadella at an event in Bangalore, southern India, addressing a crowd of startup founders and executives from tech firms, marks the largest investment the company has made in the country to date and corresponds with its broader strategy of leveraging India’s technological expertise and cost advantages to generate profitable returns.

Immense potential

Over the next two years, this investment is intended not only to expand Azure’s capacity but also to facilitate the upskilling of the Indian workforce in AI.

A Microsoft spokesperson has emphasised that this financial outlay is in addition to the company’s prior commitment of $80 billion towards developing AI-enabled data centres by fiscal 2025.

Such initiatives highlight India’s position as a vital growth market for US tech giants, with increasing attention from executives of notable companies—including Nvidia and Advanced Micro Devices—who have similarly pledged substantial investments in the region.

The significance of this investment is further illuminated by Microsoft’s current presence in India, where it employs over 20,000 individuals across ten cities.

Nadella noted the immense potential within the local tech community, particularly its contributions to AI projects, such as GitHub Copilot, which serves as a generative AI tool for developers.

As the second-largest developer community on GitHub—trailing only the United States—India is projected to surpass the US by 2028 in terms of developer presence.

GitHub Copilot

Moreover, concerns regarding the profitability of AI investments loom over Microsoft, akin to challenges faced by other technology giants. However, GitHub Copilot has emerged as one of the company’s few AI ventures yielding financial returns, boasting an annual run-rate of $2 billion as of July.

Additionally, Microsoft has set ambitious goals to train ten million individuals in AI across India by 2030, building on last year’s success of upskilling 2.4 million people.

The popularity of Nadella, an Indian-born leader, resonates deeply within a nation where engineering education is synonymous with social mobility. His recent keynote address during the “Microsoft AI Tour” drew significant crowds, exemplifying the enthusiasm and anticipation surrounding technological advancements.

The engagement of professionals, such as software engineers relying on Azure AI services, underscores the enthusiasm for innovations yet to be unveiled.

AMD reinforces its competitive stance against Intel and Qualcomm

Ana Mary Joseph
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AMD reinforces its competitive stance against Intel and Qualcomm
  • AMD is not merely responding to the competition; it is actively shaping the future of computing within these exhilarating fields.

Advanced Micro Devices, Inc. (AMD) has boldly showcased its latest line of artificial intelligence (AI) processors and graphics chips at the Consumer Electronics Show (CES) 2025 in Las Vegas, positioning the company for intensified competition in the emergent AI PC sector.

The strategic announcement included the unveiling of the new Ryzen AI Max, along with the Ryzen AI 300 and Ryzen AI 200 central processing units (CPUs). As AMD seeks to carve out a larger market share, it is directly challenging notable rivals such as Intel and Qualcomm in both AI and gaming, two segments poised for substantial growth.

The Ryzen AI Max processors are tailored for high-performance laptops that cater specifically to gamers and content creators. AMD’s commitment to advancing AI technology is evident in the impressive specifications of these components, which include up to 128GB of unified memory and a neural processing unit capable of executing 50 trillion operations per second (TOPS).

The metric serves as a critical benchmark for evaluating a chip’s AI proficiency, and it is clear that AMD, alongside Intel, Nvidia, and Qualcomm, is advocating for consumers to prioritise TOPS when selecting AI-enabled systems.

Additionally, AMD’s introduction of the PRO series within the Ryzen AI Max line enhances its appeal for enterprise clients by incorporating advanced security and enterprise management functions. Such features not only elevate the processors’ utility in corporate environments but also demonstrate AMD’s commitment to meeting the evolving needs of various market segments.

AMD flexes muscles

The company also presented its AI 300 and AI 300 Pro Series chips, including the Ryzen AI 7 350 and Ryzen AI 5 340. Targeting a broader consumer base, these chips are designed for those who do not require the extreme capabilities of the Ryzen AI Max processors but still demand robust AI performance, as evidenced by their 50 TOPS output.

Notably, these processors are aligned with Microsoft’s innovative applications, such as Copilot+, thereby making them attractive for consumers keen on leveraging AI in their daily productivity tasks.

AMD’s announcement was complemented by the introduction of the Ryzen 200 and Ryzen 200 PRO Series chips, aimed at more budget-conscious consumers and enterprises.

Although these processors do not reach the performance levels of their higher-end counterparts—capping at 16 TOPS—they still represent a significant entry point for users who require essential AI functionalities without extensive investment.

In addition to its advancements in the AI sector, AMD has not overlooked the gaming industry, unveiling new CPUs designed specifically for gaming desktops, laptops, and handheld devices.

The Ryzen 9950X3D and Ryzen 9900X3D are poised to meet the needs of hardcore gamers and creative professionals, while the Ryzen 9000HX Series chips aim to optimise temperature control, enhancing battery longevity for gaming laptops.

Furthermore, the introduction of the Ryzen Z2 Series gaming chips for handheld systems suggests a strategic move into a market that has witnessed increasing popularity, paralleling the success of compact gaming consoles.

AMD’s announcements not only reinforce its competitive stance against Intel but also reflect its ongoing strategy to mitigate Qualcomm’s nascent progress in the PC domain.

With Intel’s ongoing challenges—exemplified by the recent leadership overhaul following a significant drop in share value—and Qualcomm’s gradual ascent, AMD appears well-positioned for a dynamic showdown in the semiconductor market in 2025.

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