Microsoft to spur new era, Data centre - boon or bane?

  

Economic boost: Trade groups foresee Microsoft’s investment opening doors to more career opportunities for the people besides supporting the nation’s digital transformation. — File photo

GEORGE TOWN: Tech giant Microsoft’s RM10.5bil investment to support Malaysia’s digital transformation will not only help local businesses be more efficient but also lead to better wages and higher skills for workers, say trade groups.

The investment, which includes building cloud computing and artificial intelligence (AI) infrastructure as well as creating AI development opportunities for an additional 200,000 people, will definitely boost Penang’s manufacturing sector, said Federation of Malaysian Manufacturers Penang (FMM Penang) chairman Datuk Lee Teong Li.

“Microsoft’s investment has the potential to drive socio-economic progress and enhance Malaysia’s competitiveness in the global tech landscape.

“The investments will definitely benefit our digital infrastructure, and the skills will help Malaysian businesses, communities and developers apply the latest technology to drive inclusive economic growth and innovation across the country.

“AI adoption will spread across key industries and the public sector while ensuring AI governance and regulatory compliance.

“It is also expected to create better-paying jobs for our people as we ride the AI revolution to fast-track Malaysia’s digitally empowered growth journey,” he said yesterday.

Lee said this will lead to more job opportunities and stimulate economic growth by providing people with valuable skills and employment.

“Additionally, it can attract other tech companies and foster a thriving ecosystem to position Malaysia as a hub for innovation in the region,” he added.

Although some manual jobs and clerical work will be made obsolete by AI, these workers could be retrained for other roles, he said.

On May 2, Microsoft announced that it will invest US$2.2bil over the next four years in Malaysia to support the country’s digital transformation.

The company said the investment will include building cloud and AI infrastructure, training 200,000 people in using AI, and supporting the growth of Malaysia’s software developer community.

This will be Microsoft’s single largest investment in its 32-year history in Malaysia, and the firm will work with the Malaysian government to establish a national AI Centre of Excellence and enhance the nation’s cybersecurity capabilities.

Malaysia Semiconductor Industry Association (MSIA) president Datuk Seri Wong Siew Hai pointed out that Microsoft’s investment in Malaysia is the largest in South-East Asia.

“It follows Nvidia’s investment of US$4.3bil in December last year to develop artificial intelligence (AI) infrastructure in Malaysia.

“With Malaysia’s prominence in semiconductor manufacturing and the emergence of generative AI as the next big technology disruptor, AI and semiconductor manufacturing are becoming increasingly intertwined, with AI playing a crucial role in optimising manufacturing processes and enhancing chip design.

“This is in addition to Malaysia’s increasing role in AI chip manufacturing,” he said.

He added that investors are eyeing Malaysia, especially after the government announced that it is crafting the Semiconductor Strategic Plan.

“Intense interest in Malaysia by many companies has resulted in announcements like the ones from Microsoft,” he said.

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Data centre – boon or bane?

https://www.thestar.com.my/business/business-news/2024/05/11/data-centre---boon-or-bane

Data centre - boon or bane?

 https://www.tnb.com.my/assets/newsclip/11052024a.pdf 

Data centre – boon or bane?

 

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Behind the plot to break Nvidia's grip on AI by targeting software

Big draw: Nvidia chief executive officer Jensen Huang speaking at an industry event in California. Some big tech companies are trying to show developers how to migrate away from Nvidia’s dominance in AI. — Bloomberg

Exclusive: Behind the plot to break Nvidia's grip on AI by ...

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Nvidia's grip on AI by targeting software.html

Alliance seeks to use alternative open source software 

SAN FRANCISCO: Nvidia earned its US$2.2 trillion market cap by producing artificial-intelligence (AI) chips that have become the lifeblood powering the new era of generative AI developers from startups to Microsoft, OpenAI and Google parent Alphabet .

Almost as important to its hardware is the company’s nearly 20 years’ worth of computer code, which helps make competition with the company nearly impossible. More than four million global developers rely on Nvidia’s Cuda software platform to build AI and other apps.

Now a coalition of tech companies that includes Qualcomm, Google and Intel plans to loosen Nvidia’s chokehold by going after the chip giant’s secret weapon: the software that keeps developers tied to Nvidia chips.

They are part of an expanding group of financiers and companies hacking away at Nvidia’s dominance in AI.

“We’re actually showing developers how you migrate out from an Nvidia platform,” Vinesh Sukumar, Qualcomm’s head of AI and machine learning, said in an interview with Reuters.

Starting with a piece of technology developed by Intel called OneAPI, the UXL Foundation, a consortium of tech companies, plans to build a suite of software and tools that will be able to power multiple types of AI accelerator chips, executives involved with the group told Reuters.

The open-source project aims to make computer code run on any machine, regardless of what chip and hardware powers it.

“It’s about specifically – in the context of machine learning frameworks – how do we create an open ecosystem, and promote productivity and choice in hardware,” Google’s director and chief technologist of high-performance computing, Bill Magro, said in an interview.

Google is one of the founding members of UXL and helps determine the technical direction of the project, Magro said.

UXL’s technical steering committee is preparing to nail down technical specifications in the first half of this year. Engineers plan to refine the technical details to a “mature” state by the end of the year, executives said.

These executives stressed the need to build a solid foundation to include contributions from multiple companies that can also be deployed on any chip or hardware.

Beyond the initial companies involved, UXL will court cloud-computing companies such as Amazon.com and Microsoft’s Azure, as well as additional chipmakers.

Since its launch in September, UXL has already begun to receive technical contributions from third parties that include foundation members and outsiders keen on using the open-source technology, the executives involved said.

Intel’s OneAPI is already usable, and the second step is to create a standard programming model of computing designed for AI.

UXL plans to put its resources toward addressing the most pressing computing problems dominated by a few chipmakers, such as the latest AI apps and high-performance computing applications.

Those early plans feed into the organisation’s longer-term goal of winning over a critical mass of developers to its platform.

UXL eventually aims to support Nvidia hardware and code, in the long run.

When asked about the open source and venture-funded software efforts to break Nvidia’s AI dominance, Nvidia executive Ian Buck said in a statement: “The world is getting accelerated. New ideas in accelerated computing are coming from all across the ecosystem, and that will help advance AI and the scope of what accelerated computing can achieve.”

The UXL Foundation’s plans are one of many efforts to chip away at Nvidia’s hold on the software that powers AI. Venture financiers and corporate dollars have poured more than US$4bil into 93 separate efforts, according to custom data compiled by PitchBook at Reuters’ request.

The interest in unseating Nvidia through a potential weakness in software has ramped up in the last year, and startups aiming to poke holes in the company’s leadership gobbled up just over US$2bil in 2023 compared with US$580mil from a year ago, according to the data from PitchBook.

Success in the shadow of Nvidia’s group on AI data crunching is an achievement that few of the startups will be able to achieve.

Nvidia’s Cuda is a compelling piece of software on paper, as it is full-featured and is consistently growing both from Nvidia’s contributions and the developer community. — Reuters

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Boom time for Malaysian AI

YTL AI Cloud to deploy advanced supercomputer

YTL said the YTL AI Supercomputer will be located in a 664ha data centre facility in the YTL Green Data Centre Campus in Johor.

KUALA LUMPUR: YTL Power International has announced the formation of YTL AI Cloud, a specialised provider of massive-scale graphic processing unit (GPU)-based accelerated computing.

YTL AI Cloud will deploy and manage one of the world’s most advanced supercomputers on Nvidia Grace Blackwell-powered DGX Cloud, an artificial intelligence (AI) supercomputer for accelerating the development of generative AI.

In a statement yesterday, YTL said the YTL AI Supercomputer will be located in a 664-ha data centre facility in the YTL Green Data Centre Campus in Johor, powered by a renewable energy source from its on-site 500-megawatt solar power facility.

Prime Minister Datuk Seri Anwar Ibrahim said YTL AI Cloud, the first for Malaysia, will accelerate Malaysia’s adoption of AI and spearhead the development of the country’s Sovereign Cloud.

“The collaboration with Nvidia is a testament to Malaysia’s attractiveness as a hub for digital investments,” he said.

Meanwhile, Investment, Trade and Industry Minister, Tengku Datuk Seri Zafrul Abdul Aziz said the AI Cloud will create high-value, high-income jobs for Malaysians.

“This marks a significant step forward in our mission to become a leading AI and data centre hub in the region,” he said.

He said the initiative not only brings Malaysia closer to achieving its goals under the New Industrial Master Plan 2030, but also demonstrates Malaysia’s capability and readiness to play a significant role in the global technology landscape.

It is to be noted that YTL will be among the first companies to adopt Nvidia GB200 NVL72 – a multi-node, liquid-cooled, rack-scale system with fifth-generation NVLink.

The supercomputer will be interconnected by Nvidia Quantum InfiniBand networking platform.

The platform acts as a single GPU with 1.4 exaflops of AI performance and 30 terabytes of fast memory, and is designed for the most compute-intensive workloads.

The YTL AI Supercomputer will surpass more than 300 exaflops of AI compute, making it one of the fastest supercomputers in the world.

“There is no doubt that AI is a critical tool that will power the global digital economy,” said Digital Minister, Gobind Singh Deo.

He said having one of the most powerful Nvidia cloud computing infrastructures in Malaysia is a game changer and will spark innovation and development of solutions which are instrumental to the success of the Malaysia Digital Economy blueprint.

“Nvidia is working with YTL AI Cloud to bring a world-class accelerated computing platform to South-East Asia – helping drive scientific research, innovation and economic growth across the region,” founder and chief executive officer of Nvidia, Jensen Huang said.

The latest supercomputer marks one of the first deployments of the Nvidia GB200 Grace Blackwell Superchip on DGX Cloud, supporting the growth of accelerated computing in the Asia-Pacific region.

Meanwhile, YTL Power International managing director, Datuk Seri Yeoh Seok Hong said the group is proud to be working with Nvidia and the Malaysian government to bring powerful AI cloud computing to Malaysia.

“We are excited to bring this supercomputing power to the Asia-Pacific region, which has been home to many of the fastest-growing cloud regions and many of the most innovative users of AI in the world,” he said. — Bernama

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Boom time for Malaysian AI

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PETALING JAYA: Artificial intelligence (AI) is set to be the next growth engine for the technology sector.

Stocks linked to this sub-segment of the tech space have seen strong gains this year.

Analysts believe the run has further legs to go with companies such as Nvidia Corp, Advanced Micro Devices and their related branded manufacturers in Taiwan such as Asustek Computer Inc gaining strong interest of late.

AI requires computing power that is used by graphics processing unit (GPU) in computers and they are the key to the training of neural networks, the enabler of AI.

Apart from powering computer games and graphics/video-intensive computers, GPUs help quicken the training of neural networks which are a key component of many algorithms enabling AI.

The two main GPU designers and makers in the world are Nvidia and AMD.

It appears that tech stocks on Bursa Malaysia have not caught up with the strong rally in the United States as the surge in interest since late last year are limited to makers of GPUs and their related companies.

There was much buzz last week on the local tech space with Nvidia founder and chief executive officer Jensen Huang dropping by several countries in the region including Malaysia to announce business ventures.

For Malaysia, Nvidia last Friday announced a data centre partnership and it also announced last Sunday it will set up a manufacturing base in Vietnam.

YTL Power International Bhdannounced a collaboration with Nvidia to deploy AI infrastructure with Nvidia H100 Tensor Core GPUs at its YTL Green Data Centre Park in Kulai, Johor.

YTL Power’s share price received a boost with this development and saw gains of almost 15% last week alone. The company is now considered an AI-linked firm by market players with this partnership.

SPI Asset Management managing partner Stephen Innes said the surge in share prices of AI-linked companies is just the beginning and investors have not fully digested the strong upside prospects of this latest development in the tech space.

“We are only seeing the tip of the iceberg on a decade-long transition to AI.

“Right now, most of the focus is on the companies making the tools necessary to power the AI revolution that appears to be fast descending upon businesses and, eventually, the broader economy,” Innes told StarBiz.“In the immediate sense, such a build phase may also benefit the ‘shovel providers’ of this ‘gold rush’ – the companies that provide the computing power and tools necessary to build the models needed to compete.

“For this year, at least, Nvidia has stood out as that hardware store on the prospecting hill,” he added.

Innes expects Nvidia will continue to trend higher and be trading at US$600 per share next year and over US$1000 in the longer term.

High-net-worth investor and former investment banker Ian Yoong Kah Yin said investor interest in the domestic tech sector will be AI-driven, moving forward.

“The listed companies in this space are YTL Power, ITMAX System Bhd and Straits Energy Resources Bhd YTL Corp and YTL Power, its subsidiary, are in data centres.

“ITMAX is in video surveillance and analytics. Straits Energy is into oil bunkering, telecommunications solutions and AI-enabling services,” Yoong told StarBiz.YTL, YTL Power, ITMAX and Straits Energy are trading at financial year 2024 price-to-earnings ratio (PER) of 10, 8, 19 and 10 times, respectively, he noted.

Meanwhile, Yoong said the wider local tech space on Bursa Malaysia is expected to remain in the doldrums in the first half of 2024, with recovery seen earliest in the second half of next year.

“The Bursa Malaysia Technology index currently commands an above-average valuation, with a forward PER multiples of 25 times. The historical average PER is 21 times.

“The semiconductor-based sub-sector is expected to report weak earnings in the next two to three quarters,” Yoong added.

Commenting on tech stocks’ performance on Bursa Malaysia, Rakuten Trade head of equity sales Vincent Lau said many Malaysian tech stocks appear to be stuck in a trading range.

“Fund managers are staying on the sidelines and I think they need to see fourth-quarter numbers first.

“Ours are lagging behind and only in the United States it seems to be doing well. Even in Hong Kong the tech sector is struggling,” Lau told StarBiz.However, a tech recovery is still on track and the fourth quarter might be supported by restocking activities.

He said how strong will the recovery be is still the main question.

“But in the AI space, it still has some legs to run while for electric vehicles, it continues to be another growth sector,” Lau said.

“We may be at a short-term bottom now, as I think it will be quite a firm recovery moving into 2024. We may be at an inflection point.”

On YTL Power-Nvidia partnership, RHB Research said it has a long-term positive view on this development.

“The project may also boost its data centre take-up rate in Johor.

“YTL Power’s earnings growth should strengthen upon the successful delivery of the project delivery in the long run but investors ought to take note that additional capital expenditure requirements ahead could be rather intensive,” it said in a note.

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