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The AI Compute Continuum: from intelligent endpoints to advanced AI workloads

SINGAPORE – Media OutReach Newswire – 22 April 2026 – Dell Technologies (NYSE: DELL) today outlined how enterprise AI adoption across Asia Pacific (APAC) is moving from experimentation to implementation, with 48% of organisations with more than 500 employees in the region already deploying AI PCs and 95% expecting workstations to play a critical or important role in AI initiatives over the next two years. Together, these trends point to a more distributed AI environment – one that brings intelligence closer to users while supporting increasingly complex and compute-intensive workloads.

Two IDC InfoBriefs, commissioned by Dell Technologies and Intel reinforce this shift – Future-Ready Workforce: The Strategic Case for AI PC Adoption and Powering Future-Ready Computing with Workstations: Built for AI. Built for You. The research highlights growing enterprise momentum behind both intelligent endpoints and higher-performance systems as organisations shape the next phase of AI adoption.

For Dell, this shift reflects a broader industry trend toward aligning the right compute resources with specific workload requirements, as organisations balance intelligent endpoints for everyday productivity with high-performance systems designed for advanced AI and professional use cases. Enterprise AI deployments are increasingly spanning client devices, edge environments and the data centre, reflecting a more distributed approach across the IT environment.

AI PCs: Bringing intelligence closer to everyday work

AI PCs are becoming a core component of the modern workplace, enabling AI workloads to run directly on the device to deliver faster, more responsive user experiences while reducing reliance on continuous cloud connectivity. This approach also supports enhanced data privacy and security, provides IT teams with greater control over deployment and management across device fleets, and enables more consistent scaling of AI capabilities across the workforce.

The IDC research commissioned by Dell Technologies and Intel underscores this momentum. As AI becomes embedded in day-to-day work, device strategy is shifting accordingly. 89% of APAC organisations now consider AI capabilities a very important factor in future PC purchasing decisions.

In Singapore, 54% of organisations have already deployed AI PCs – 12% higher than the regional average – highlighting strong early adoption momentum. Southeast Asia’s AI PC adoption is outpacing the regional average by 6%, driven by the ability to adopt new technologies without legacy constraints, strong infrastructure in markets like Singapore, favourable market conditions and supportive government initiatives.

APAC Organisations with over 50% AI PCs in their fleet report saving 2.17 hours per employee per day, a 30% productivity increase compared to using AI on traditional PCs. AI PCs are enabling a new class of enterprise use cases – from real-time collaboration and report generation to natural language search and content creation – delivering tangible productivity gains.

In practical terms, this can translate into faster proposal turnaround for sales teams, quicker analysis cycles for finance and operations, streamlined drafting for HR, faster document review for engineering teams, and more responsive support for customer-facing employees. As organisations prepare for more autonomous and agentic AI in hybrid work environments, AI PCs are increasingly becoming the governed way to scale intelligent experiences across the workforce – safely, consistently, and with clearer business impact.

Four out of five APAC organisations expect AI PCs to drive adoption of agentic AI, with the same proportion agreeing they enhance control and security for these applications. The broader momentum is clear: within APAC, 84% of organisations expect AI PCs to increase employee productivity, while 78% cite security benefits and 77% highlight cost advantages of running AI locally.

This shift is leading to a tangible investment. Across APAC, 65% of organisations are willing to pay a premium of 10% or more for AI PCs, reflecting their role as core infrastructure for enterprise AI.

Workstations: Powering advanced AI and specialised workloads

While AI PCs distribute intelligence across the workforce, workstations continue to serve as the performance backbone for more demanding workloads – particularly as organisations shift more AI development on-premise. Developers, engineers, designers, and data teams rely on workstation-class systems for AI model development, simulation, rendering, data preparation, and other compute-intensive activities that require reliability, low latency, and sustained performance.

The IDC research on workstations reflects this reality. 95% of organisations across APAC expect workstations to play a critical or important role in AI initiatives over the next two years, while 50% would choose a workstation as their preferred device for AI development, and 97% of organisations agree workstations are high-performance devices that fuel innovation for the organisation by empowering teams to explore cutting-edge technology like AI and Machine Learning models.

Across Southeast Asia, 92% of organisations surveyed reported higher productivity among workstation users, while 52% expect the share of workstations in their fleet to grow over the next five years. Organisations in this part of the region also reported workstation use for data preparation (66%), model fine-tuning (62%), and foundational model training (55%), underscoring the role of high-performance systems in advanced AI and professional workloads.

Use cases vary by sector – from engineering and architecture workflows in manufacturing, to content rendering in media, software development in technology, and risk modelling in financial services. AI has become the top technical computing use case for workstations, supporting the full lifecycle from data preparation (62%) and model training (60%) to fine-tuning (59%), deployment (44%) and inference (29%).

This also shifts the conversation from upfront device price to total cost of ownership – including lifecycle longevity, scalability, performance consistency, and risk reduction. As AI initiatives move closer to production, workstations are increasingly seen as long-term platforms that can scale with evolving workloads, rather than short-term tools for experimentation.

Toward an AI compute continuum that supports the next phase of enterprise AI

Together, AI PCs and workstations form an AI compute continuum, supporting everything from everyday productivity to advanced AI development and professional workloads across the enterprise.

For organisations across Asia Pacific, the next phase of AI will not be defined by a single environment or device category, but by the ability to place the right workload on the right compute. AI PCs are extending AI into everyday workflows, while workstations are helping organisations industrialise more advanced, compute-intensive, and specialised AI use cases. Combined, they give leaders a more practical foundation for scaling AI with greater speed, control, and long-term value.

Perspectives:

“AI is changing where work happens and where intelligence needs to live,” said Jacinta Quah, vice president, client solutions group, Asia Pacific, Japan and Greater China (APJC), Dell Technologies. “AI PCs and workstations are not simply device categories in a refresh cycle – they are foundational platforms built for the next phase of enterprise AI era. AI PCs bring intelligence to everyday workflows, at the fingertips of employees where data is generated. Meanwhile, workstations provide the performance and control needed for more specialised, compute-intensive workloads. Together, they enable organisations to scale AI more effectively, strengthen security and privacy, and drive meaningful business outcomes.”

“AI is placing new demands on compute, requiring both local intelligence and high-performance processing to work seamlessly together,” said Jack Huang, regional sales director, PC client commercial and channel, Asia Pacific and Japan, Intel. “As AI workloads become more diverse, organisations need silicon innovations and platforms that can support both efficient on-device experiences and more demanding workstation use cases. Together with Dell, we are helping to enable the next phase of enterprise AI with technologies built for responsiveness, efficiency and scale.”

“The speed at which AI models are being compressed to run on-device has been remarkably fast,” said Bryan Ma, vice president, client devices, IDC. “In the next year or two, very robust models will run on PCs that far exceed today’s capabilities. At the same time, organisations continue to depend on high-performance workstations for advanced AI development and specialised workloads, reinforcing a more distributed AI environment across the enterprise.”

Research Methodology:
The findings are based on two IDC InfoBriefs:

• IDC InfoBrief, sponsored by Dell Technologies and Intel, Future-ready Workforce: The Strategic Case for AI PC Adoption, Doc. #AP242547IB, January 2026
• IDC InfoBrief, sponsored by Dell Technologies and Intel, Powering Future-Ready Computing with Workstations: Built for AI. Built for You, Doc. #AP242550IB, February 2026

Future-ready Workforce: The Strategic Case for AI PC Adoption is based on a survey of 720 IT and business decision-makers across Asia Pacific organisations with more than 500 employees. Powering Future-Ready Computing with Workstations: Built for AI. Built for You surveyed 960 IT and business decision-makers in the region to assess workstation adoption, usage, and their role in enterprise AI strategies.
Hashtag: #DellTechnologies

The issuer is solely responsible for the content of this announcement.

About Dell Technologies

Dell Technologies (NYSE: DELL) helps organisations and individuals build their digital future and transform how they work, live and play. The company provides customers with the industry’s broadest and most innovative technology and services portfolio for the AI era.

The collaboration combines Paymentology’s cloud-first processing platform with Change Financial’s local BIN sponsorship, regulatory expertise and in-market presence – enabling fintechs, digital banks and programme managers to launch and scale debit, credit and prepaid programmes more efficiently in the Australian market.

Change Financial is a Mastercard Principal Issuer in Australia, providing local scheme connectivity and compliance support. Together with Paymentology’s real-time, multi-cloud processing infrastructure, the partnership creates a streamlined pathway for fintechs looking to enter or expand in the country.

Australia represents one of the world’s most advanced digital payments markets. The national payments market was valued at USD 849.1 billion in 2025 and is projected to reach USD 1.35 trillion by 2034, growing at a CAGR of 5.09% between 2026 and 2034. Cards and mobile wallets now sit at the centre of everyday transactions, as digital adoption continues to accelerate. Australians made approximately AUD 160 billion in mobile wallet payments in the past year alone, with billions of transactions recorded annually, highlighting strong demand for digital-first, contactless and mobile-enabled payment experiences.

Minh Ha Truong, Head of Growth Asia Pacific at Paymentology commented: “Australia is one of the most sophisticated payments ecosystems globally, with strong consumer adoption of digital, contactless and mobile-first experiences. By partnering with Change Financial, we’re combining next-generation issuing infrastructure with trusted local BIN sponsorship and expertise, unlocking faster payment method adoption for fintechs and helping them scale confidently in the Australian market.”

Change Financial brings deep experience supporting fintechs and financial institutions through local sponsorship, scheme relationships and programme enablement.

Jennifer Mateer, Chief Commercial Officer at Change Financial added: “We collaborate closely with fintechs and programme managers every day to launch innovative payment solutions with speed and confidence. Our partnership with Paymentology combines our local market expertise with global-scale issuing infrastructure, enabling innovators to accelerate time to market and deliver compelling card payment experiences to Australian consumers and businesses.”

Hashtag: #Paymentology #Fintech

The issuer is solely responsible for the content of this announcement.

About Paymentology

Paymentology is the leading next-generation issuer processor, empowering fintechs, digital banks and retail banks to effortlessly launch and manage innovative payment solutions on a global scale. The company drives greater customer choice and value through easy-to-use, integrated platforms and services that help clients to disrupt the status quo, accelerate time to market, and achieve growth.

With a superior multi-cloud platform offering a vast global footprint, and enhanced real-time data, Paymentology distinguishes itself as a leader in the payments industry. Its team of payments experts, with deep local market knowledge, operates across 50 countries and 14 time zones, providing 24/7 support. Paymentology is deeply committed to expanding financial inclusion globally, changing lives and positively impacting the communities in which it operates.

For more information, visit https://www.Paymentology.com.

China has launched a new satellite designed to track greenhouse gases with greater precision, adding a fresh layer of space-based monitoring to the country’s climate and environmental data network.

The satellite lifted off aboard a Long March-4C rocket from the Jiuquan Satellite Launch Centre in north-west China at 12:10 pm Beijing time on April 17. State media said the spacecraft entered its planned orbit successfully, marking the 638th mission of the Long March rocket family. Chinese reports described it as a high-precision greenhouse-gas detection satellite intended to strengthen observation of atmospheric conditions from orbit.

Chinese broadcaster CGTN reported that the satellite carries five instruments, including an atmospheric detection lidar, a broad-spectrum hyperspectral greenhouse-gas monitor, ultraviolet and infrared hyperspectral sensors for atmospheric composition, and a cloud-and-aerosol imager. Together, those tools are intended to improve detection of carbon dioxide, methane and related atmospheric variables, while helping scientists separate emissions signals from interference caused by clouds, aerosols and other background conditions. The spacecraft and launcher were developed by the Shanghai Academy of Spaceflight Technology, according to CGTN and other Chinese reports.

The launch gives Beijing a more advanced platform for a task that has become politically and economically important: measuring what is actually entering the atmosphere. Satellite-based observation has become a key part of climate governance because it can provide independent, repeated coverage across large industrial zones, energy corridors and remote terrain where ground-based monitoring is patchier or harder to verify. Methane, in particular, has come under sharper scrutiny because it traps far more heat than carbon dioxide over the short term, while carbon dioxide remains the dominant driver of long-term warming.

For China, the mission also carries strategic weight. The country has pledged to peak carbon dioxide emissions before 2030 and reach carbon neutrality before 2060, goals that require more dependable measurement of emissions trends and sector-by-sector performance. Yet that transition remains uneven. Reuters reported in February 2025 that China cut carbon intensity by 3.4 per cent in 2024, but still lagged behind its five-year target, underscoring the tension between climate pledges, industrial growth and energy security. More precise atmospheric data can help narrow that gap between policy targets and real-world measurement.

The new mission also builds on a longer Chinese effort to monitor greenhouse gases from space. In 2016, China launched TanSat, a carbon-tracking satellite aimed at taking global carbon dioxide readings roughly every 16 days, with accuracy of at least four parts per million, according to Reuters and the China National Space Administration. That earlier satellite was presented as a step towards giving policymakers more independent climate data. The new spacecraft appears to signal a move from pioneering measurement capability towards a more operational and higher-resolution system.

That matters beyond China. Space-based emissions tracking has gained prominence as governments, investors and campaigners press for more transparent climate accounting. The loss last year of MethaneSAT, a privately backed satellite funded in part by Jeff Bezos and operated by the Environmental Defense Fund, highlighted both the promise and fragility of this new monitoring architecture. At the same time, political pressure on some United States climate-observation programmes has raised concerns among scientists about the continuity of global emissions data. Against that backdrop, China’s launch adds capacity to a field in which international coverage remains valuable but uneven.

The timing is notable because climate data has become more than a scientific matter. It now feeds into carbon markets, industrial regulation, trade pressure and diplomatic claims over who is cutting emissions and who is not. Better satellite detection could strengthen verification of methane leaks from coal mines, oil and gas facilities, and large industrial sites, while also improving broader atmospheric modelling. Chinese researchers are already working on ever finer emissions datasets for the country, and the addition of a new orbital platform could help tighten links between satellite observation, ground measurements and policy enforcement.