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The Philippines has accused a Chinese coast guard ship of deliberately ramming and deploying a water cannon on a Philippine government vessel near Thitu Island in the disputed Spratly archipelago, causing minor damage but no injuries, according to Manila’s coast guard.

Manila says three Philippine government vessels were anchored off Thitu to support local fishermen when Chinese ships approached and fired water cannon. One Chinese coast guard ship is alleged to have rammed the stern of the Philippine vessel BRP Datu Pagbuaya after using the water cannon. China, however, claims the Philippine vessels “illegally entered” waters near Sandy Cay and caused the collision by dangerous manoeuvres.

Beijing condemned Manila’s accusations as a distortion of facts, stating that the Philippine boats ignored repeated stern warnings and violated Chinese territorial waters. According to the Chinese coast guard, the Philippines bore responsibility for the collision.

The U. S. embassy in Manila weighed in, denouncing China’s actions as “dangerous ramming” and stressing support for the Philippines in upholding maritime rights under international law. Philippine officials vowed to press diplomatic action while continuing patrols to protect Filipino fishermen’s access in the area.

Experts tracking the South China Sea dispute see this episode as part of an intensification of maritime confrontations. Overlapping claims by China, the Philippines, Vietnam, Malaysia, Brunei and Taiwan have long made the region volatile, especially around fishing zones and strategic shipping routes.

In August, a high-speed pursuit near Scarborough Shoal resulted in a China Coast Guard cutter and a Chinese naval vessel colliding while chasing a Philippine patrol. That incident injured none but raised alarm over the risks of escalation.

Manila’s strategy has increasingly leaned on international legal norms, especially the 2016 ruling by a Hague tribunal that rejected China’s sweeping maritime claims under the “nine-dash line.” Beijing refuses to accept that decision and has steadily expanded coast guard deployments, artificial island construction, and maritime militia activity.

Analysts suggest that China’s recent operations indicate a shift towards more assertive enforcement in its claimed seas. Pressure tactics such as water cannon use, ramming, and vessel interdiction are becoming more frequent in contested zones. Philippine officials contend such tactics intimidate local fishing communities and undermine sovereign rights over their exclusive economic zone.

Diplomatic watchers note that the timing of these clashes often aligns with Chinese domestic political or military posturing, especially as Beijing seeks to reinforce its claims ahead of international scrutiny. For its part, the Philippines has stronger backing from Washington, and its defence and coast guard are gradually upgrading capabilities and interoperability with allies.

India is dispatching over 450 technology firms and startups to GITEX Global 2025 in Dubai, anchoring the India Pavilion under the aegis of ESC. The pavilion will span multiple halls and spotlight more than 100 Indian enterprises across sectors such as AI, cybersecurity, cloud computing, IoT, smart mobility, fintech and digital infrastructure. Organisations will also engage in high-stakes networking, investor roundtables and B2B matchmaking.

GITEX Global 2025, running from 13 to 17 October at the Dubai World Trade Centre, draws more than 6,800 tech companies and some 2,000 startups from about 180 countries. It is expected to be the largest edition to date, integrating themes such as physical AI, quantum computing, biomedicine and semiconductor innovation. Across the co-located Expand North Star event, over 1,200 investors managing assets exceeding US$1.1 trillion will scout opportunities among scale-ups and unicorns.

The India Pavilion marks a concerted push to convert India–UAE strategic frameworks into tangible tech commerce. With the India–UAE Comprehensive Economic Partnership Agreement and the Local Currency Settlement System operational, cross-border ICT trade has surged. Bilateral trade crossed US$100 billion during fiscal year 2024–25, and electronics exports alone reached US$3.7 billion, positioning the UAE as a key destination for Indian hardware shipments.

At a preparatory briefing, Kamal Vachani, ESC’s regional director for Dubai, described the pavilion as more than a display — “a living showcase of India’s tech prowess and growing synergy with the UAE.” ESC’s CEO, Gurmeet Singh, noted that many participating companies are MSMEs or first-time exporters, and that the pavilion aligns with India’s ambition to emerge as a global electronics hub.

India’s strategy at GITEX goes beyond sheer numbers. Firms are bringing solutions purpose-built for global markets — from smart city platforms to blockchain-enabled supply chains. The pavilion will host curated sessions on cross-border compliance, regulatory alignment, and scalable deployment across Middle Eastern and African markets.

For the UAE, the event reinforces its vision of acting as a global nexus for innovation and capital. Major corporate names such as G42, e&, IBM, AMD, Huawei, Microsoft, Oracle and Amazon Web Services will anchor the exhibitions. New entrants including Cerebras, Tata Electronics, Qualcomm and Tenstorrent will attempt to break in. The show also emphasises future-critical infrastructure: hyperscale data centres, quantum systems, and semiconductor roadmaps are front and centre.

Globally, one of the event’s linchpin themes is the maturation of AI into domain-specific systems. The AI Semicon track will address sovereign technology imperatives in chip design, while the Quantum Expo will present fault-tolerant architectures. At the intersection of AI and healthcare, companies like Mammoth Biosciences and Paradromics will illustrate how gene-editing and neurotech are being reimagined. Robotics firms will showcase humanoid prototypes and autonomous “robocars,” underscoring the pivot to “physical AI.”

Strategic partnerships form a parallel narrative. India and the UAE are finalising memorandum exchanges via the UAE-India Business Council to deepen collaboration across fintech, logistics, digital infrastructure and state-level investment. The CEPA Start-up Series launched earlier this year in New Delhi underscores a joint intent to foster innovation-led cross-border growth.

The company’s market cap, now placing it among the most valuable companies globally, reflects its strategic positioning at the centre of critical technological trends. Nvidia’s GPU technology has become indispensable in fields ranging from gaming to machine learning and data analytics. Its leadership in AI applications, particularly in areas like autonomous driving and generative AI, has been a key driver behind its expanding market reach.

The surge in Nvidia’s market cap follows impressive quarterly earnings, which showed a substantial increase in revenue, particularly driven by its data centre segment. Analysts attribute the company’s growth to its cutting-edge products, including the A100 and H100 GPUs, which have cemented Nvidia’s reputation as the leading provider of AI computing hardware. These advancements are now crucial to many sectors, including cloud computing, gaming, and large-scale enterprise solutions.

Nvidia’s ability to capitalise on the increasing integration of AI into business processes and consumer products has been pivotal to its success. The company’s GPUs power most of the leading AI platforms, including those used in cloud data centres, where the demand for advanced computational power continues to soar. Moreover, Nvidia’s partnerships with tech giants and startups alike have positioned it as an essential player in the development of AI tools and infrastructure.

In addition to its AI-driven growth, Nvidia has capitalised on the gaming industry, where its GPUs remain a cornerstone for high-performance graphics. The booming popularity of esports and virtual reality, as well as the continual advancement of gaming hardware, has kept Nvidia in a dominant position within this sector. Its GPUs power not only personal gaming rigs but also high-end consoles and cloud-based gaming services, further amplifying its market presence.

The company’s stock performance has consistently outpaced the broader technology sector, with a remarkable acceleration in share prices following its strategic shift towards AI and machine learning. Investors have been particularly bullish on Nvidia, with many analysts forecasting continued growth driven by the company’s investments in next-generation technologies and its expanding footprint in emerging markets like AI-driven healthcare, robotics, and digital content creation.

Nvidia’s market success has also been underpinned by its robust financial health. The company’s ability to generate strong cash flows has allowed it to reinvest in cutting-edge R&D, securing its competitive edge. Nvidia has consistently delivered on innovation, with the launch of new products and the expansion of its software ecosystem, which includes AI development tools, simulation platforms, and enterprise solutions.

The market has recognised Nvidia’s potential beyond traditional GPU applications. Its recent moves into high-performance computing and the automotive sector, particularly with self-driving car technologies, have diversified its portfolio and unlocked new revenue streams. As Nvidia continues to push the boundaries of what its technology can achieve, its influence on the global tech landscape is only expected to grow.

Abu Dhabi’s Department of Health will present a portfolio of artificial intelligence–based healthcare solutions at the upcoming GITEX Global 2025 event in Dubai. The showcase is intended to reinforce the emirate’s ambitions to lead in digital health transformation and embed AI into clinical and public health systems.

DoH plans to display tools ranging from predictive diagnostics to personalised wellness platforms, emphasising preventive care and data-driven interventions. H. E. Dr Noura Khamis Al Ghaithi, Undersecretary of DoH, stated that leveraging AI is central to “reshaping how care is delivered” and enabling people to “live healthier, longer lives.”

The Abu Dhabi delegation will also highlight the emirate’s efforts to integrate AI across healthcare infrastructure, including hospital systems and community services. As part of the pitch, DoH intends to advance models that predict health risks, flag early disease onset, and streamline patient journeys from diagnosis to treatment.

The timing of this unveiling aligns with Abu Dhabi’s broader push into AI research and high-tech partnerships. In September 2025, Nvidia and Abu Dhabi’s Technology Innovation Institute launched a joint lab focusing on robotics and advanced AI models, including deployment of Nvidia’s “Thor” chip for robotic applications. That initiative is part of the UAE’s wider effort to become a global AI player.

At GITEX Global—a technology exhibition scheduled from 13 to 17 October at the Dubai World Trade Centre—the DigiHealth & Biotech track is expected to draw startups, tech firms and health ministries showcasing innovations across genomics, diagnostics, telemedicine and biotech. The exhibition emphasises frontier domains: physical AI, quantum computing, semiconductors and data-centre infrastructure.

Abu Dhabi is also seeking to signal that its AI investments are more than pilot projects. Through collaborations with private technology firms, academic institutions and regional health authorities, DoH aims to build a scalable, interoperable health data ecosystem. Under its strategy, AI modules would be deployed not just in tertiary hospitals, but in primary care, clinics, remote monitoring and wellness programmes.

Critics point to challenges ahead, including data privacy, algorithmic bias, regulatory oversight and integration with legacy systems. Effective AI deployment in health requires robust patient consent frameworks, transparent models and continuous validation across diverse populations. Observers note that many AI health systems falter when scaled beyond controlled environments.

Edgecore Networks will reveal its latest open infrastructure solutions at the OCP Global Summit in San Jose and GITEX Global in Dubai, with demonstrations of next-generation AI, networking, and compute platforms designed to ease deployment and boost performance.

The Taiwanese firm plans four flagship showcases: new Tomahawk 6–based data centre switches, a proof-of-concept for co-packaged optics, its Nexvec™ turnkey AI solution, and an upgraded Nous infrastructure controller offering composable compute management. The exhibitions will take place during the week of 13 October: at the OCP Summit from 13–16 October and at GITEX from 13–17 October.

Edgecore emphasises that the Tomahawk 6 switches can deliver more than 100 Tbps of bandwidth, supporting AI cluster demands with low latency and high density. The company adds that its CPO concept demonstrates integration of optical elements directly into switch silicon, reducing power and footprint. Its Nexvec™ offering is a pre-validated stack combining open networking with GPU compute, while Nous enables dynamic allocation of GPU, memory and compute resources.

Mingshou Liu, President of Edgecore, is quoted as saying that as AI workloads accelerate, simplifying deployment is crucial, and that the firm seeks to lead in the open infrastructure community with turnkey and scalable offerings.

Edgecore’s push comes at a time when hyperscale data centre operators are under pressure to manage burgeoning AI compute demands without ballooning costs or power draws. Industry trends point to co-packaged optics, disaggregated architectures, and composable resource frameworks as priorities for the next wave of infrastructure evolution. At the OCP Summit, the AI HW/SW co-design and open systems tracks will explore modular compute, memory architectures and photonic interconnects for AI clusters.

In parallel, GITEX Global has become a high-stakes stage for showcasing AI infrastructure, especially in the UAE’s drive to scale AI capabilities and attract global tech investment. With over 45 editions, the event draws global vendors and governments presenting AI, semiconductors, networking, and startup innovation. Edgecore’s presence signals its intention to engage key markets in the Middle East, where data centre growth, AI deployment, and regional cloud expansion are strong levers.

Edgecore is not alone in spotlighting AI infrastructure at these events. Major networking suppliers, chip vendors, and cloud players are expected to present competing solutions, particularly around optical integration, disaggregation, and hardware-software co-design. Observers will closely track how well Edgecore’s offerings stack up in power efficiency, interoperability, and ease of deployment.

Within its broader strategic frame, Edgecore continues to emphasise open, standards-based infrastructure. Its public messaging highlights disaggregated networking, composable compute, and software-defined manageability. The timing of product demonstrations at both OCP and GITEX gives the company a dual audience of deeply technical integrators and regional enterprise buyers.

At the OCP Summit, Edgecore’s participation also coincides with evolving community priorities—AI, sustainability, modular compute, and photonics interconnect are central tracks. During the event, Edgecore’s representative Tim Zhou will present on simplifying large-scale “agentic AI” deployments in a session scheduled for 16 October.][5])

ASUS has confirmed that it will spotlight a broad suite of AI-enabled products and infrastructure at GITEX Global 2025, framing its participation around the theme “Ubiquitous AI. Incredible Possibilities.” The corporation aims to demonstrate how artificial intelligence can permeate devices, enterprise systems and urban environments.

The company’s exhibit will cover four core domains: AI-first design, cloud integration, sustainability and education technology. On the hardware front, ASUS plans to showcase the B5405 ergonomic laptop, the P5405 with a 47 TOPS NPU, and the B9403 weighing under 1 kg with all-day battery life. Chromebook models such as the CX5403 Plus and Windows devices like the BR1204 will cater to education users.

In its infrastructure tier, ASUS will highlight its AI POD, HGX servers and the Ascent GX10 platform powered by the NVIDIA GB10 Grace Blackwell superchip. Workspace innovation will include compact offerings such as the NUC 15 Pro and NUC 14 Pro AI. On the edge side, embedded systems for smart cities and autonomous systems—such as the PE2200U, PE6000G, and PE2100N—are also in the lineup.

ASUS emphasises the role of partnership in its vision. It plans to accentuate cooperation with NVIDIA via its “Enterprise AI Factory” programme, which supports AI-ready racks and POD designs tuned for large language models and immersive workloads. The company will also underline measures in security, durability and ease of maintenance across its product line.

Tolga Özdil, Regional SYS Commercial Director for META at ASUS, remarked that the Middle East is positioned at a digital inflection point, with AI shaping institutional and economic evolution. He framed GITEX as a platform to bring the company’s latest innovations into conversation with regional stakeholders. ASUS’s Regional Director for Middle East & Africa, Senic Chiu, added that the event offers opportunity to show how intelligent tools can reshape industries and daily life.

ASUS’s timing comes against the backdrop of an intensifying global push for AI infrastructure. GITEX 2025 is expected to draw more than 6,800 tech firms and 2,000 startups from 180 countries. Key event themes include advancements in quantum, biotech, data centres and robotics.

Beyond individual exhibitors, the show underscores the rapid expansion of the global AI economy. According to organisers, investment in data centres alone is forecast to surpass US$500 billion in 2025. Meanwhile, GITEX’s startup track, Expand North Star, will run in parallel and feature over 1,200 investors managing US$1.1 trillion in assets.

ASUS’s introduction of its AI roadmap at this scale signals that device manufacturers are no longer content to remain at the periphery of the AI stack. As more process layers—from silicon to application—are exposed to AI optimisation, hardware firms are positioning themselves to own more of the value chain. However, challenges remain: power efficiency, thermal constraints, ethical AI integration and data security are frontlines ASUS must navigate.

Teams at GITEX Global 2025 in Dubai will put liquid-cooled AI laptops under extreme thermal stress, testing whether advanced cooling systems can uphold sustained performance in one of the world’s harshest climates. Omnix International’s HOT Systems division, in partnership with PNY, will unveil a lineup of AI workstations, liquid-cooled laptops and the new HOT Guard monitoring suite, aiming to prove that these machines can maintain stability in high ambient temperatures.

At the heart of the exhibit is the challenge posed by regional heat: daytime temperatures in Dubai frequently exceed 40 °C, while indoor exhibition halls still pose cooling constraints. For high-performance AI workloads—particularly those involving CAD, BIM and machine learning—thermal throttling can cripple throughput. HOT Systems claims its integrated cooling and hardware optimisation can circumvent that performance drop. The accompanying HOT Guard software will monitor temperatures, fan and pump behaviour and security in real time on site.

Liquid cooling is no novelty in high-density server enclosures, but applying it in portable form factors presents a tougher engineering problem. In data centres, the shift from air to liquid systems has accelerated because conventional cooling struggles to keep up with power densities above 10–15 kW per rack. Liquid systems offer reduced power use, higher thermal headroom and often reclaimed waste heat reuse. But translating that to mobile form demands compact and robust fluid paths, efficient pumps, and risk control against leakage.

Advances in chip cooling are reinforcing that liquid systems represent more than a marginal improvement. Microsoft engineers have developed a microfluidics cooling technique that embeds coolant channels within the silicon substrate itself, enhancing heat removal efficiency at the chip level. That suggests future AI hardware may increasingly rely on liquid solutions at a micro scale.

Regional data centre operators are already embracing the shift: Khazna Data Centres, active across the UAE, has rolled out the country’s first liquid-cooled AI data centre and is developing more AI-optimised campuses. The move reflects recognition that standard cooling infrastructure cannot scale profitably with AI workloads.

Technical design choices behind liquid cooling include direct-to-chip systems, which place cold plates atop CPUs or GPUs, and immersion cooling, where liquid envelops hardware. The former is more suited for modular, retrofit deployments; the latter can offer full heat removal but introduces maintenance and material challenges, especially for localised devices. A recent review in AI systems architecture emphasises single-phase direct cooling as a flexible compromise for power levels below extreme thresholds, though it demands high reliability in fluid delivery and sealing.

Within the exhibition context, the HOT Systems demo will likely emphasise sustained throughput rather than peak benchmarks. The company plans real-world workflows—such as rendering, simulation and AI model inference—to demonstrate how the cooling system maintains clock speeds under load. PNY’s involvement underlines the reliance on qualified memory, GPUs and driver support, ensuring that thermal gains translate into usable computing stability.

End-users in architecture, media, engineering and AI fields are closely watching such developments. If heat throttling can be mitigated in this climate, portable AI rigs could expand in markets previously constrained to air-conditioned labs. But adoption depends on how well the solutions resist failure under harsh dust, vibration and heat cycles inherent to Gulf environments.

iFLYTEK is stepping up its engagement in the Middle East, unveiling two flagship AI products at GITEX 2025 in Dubai as part of a broader strategy to localise its offerings and anchor its presence in the region.

The company’s showcase spans three core portfolios—AI Translation, AI Infrastructure and AI Solutions—tailored for Gulf markets, with particular emphasis on Arabic dialect support and secure deployment. Among the new offerings is the AI Translation Earbuds, designed to enable seamless multilingual communication, and the e-ink AINote 2 work device, both making their global debut at the event. The debut underscores iFLYTEK’s intent to go beyond product marketing, emphasising solutions that address regional business needs.

Vincent Zhan, Vice President of iFLYTEK, asserted that the company is focused “to deliver intelligent solutions that address real business challenges” rather than merely present tech demonstrations. The firm has already placed a local team in Dubai to oversee deployment, maintenance, and customer support. It also customised algorithms to handle multiple Arabic dialects, expecting that linguistic responsiveness will differentiate it from global rivals.

iFLYTEK’s portfolio for the event includes the Spark WallEX system, designed for intelligent space management, along with Spark Smart Blackboard and Spark GuideX. The firm says these are engineered to support a range of sectors, including education, healthcare, enterprise operations and government. Its “All-in-One AI Solution” is positioned as a secure infrastructure package for organisations seeking turnkey AI adoption.

The Middle East expansion is part of a larger international push. Outside Asia, iFLYTEK is targeting Europe, as trade tensions and regulatory pressures create incentives to diversify markets. It is reportedly planning offices in France and Hungary, with growth ambitions in Spain and Italy. In March 2025, Zhan cited tariffs in the US as influencing iFLYTEK’s decision to look more aggressively into Europe and the Gulf.

China’s AI giant also faces headwinds. It was placed on a US trade blacklist in 2019, making procurement of certain high-end components dependent on US approvals. To mitigate vulnerability, iFLYTEK has shifted many of its models to Huawei’s chip platforms. It developed its Xinghuo X1 large language model in partnership with Huawei, reportedly running entirely on domestic chips. The firm claims to have pushed chip efficiency from 20 per cent to nearly 80 per cent of equivalent U. S. hardware, though Huawei leadership acknowledges that domestic chips still lag behind by a generation.

Market observers note that iFLYTEK’s shift toward the Gulf aligns with governments in the UAE and Saudi Arabia pushing AI-first national strategies. However, the company must navigate regulatory, data residency and market competition risks. In the Gulf, local AI and language processing firms are emerging, and global players like Amazon and Microsoft are pressing deeper into the region.

iFLYTEK’s presence at major global events is integral to its positioning. In July 2025, at MWC Shanghai, it launched the Spark All-in-One AI Machine and Dual-Screen Translator 2.0—capable of handling translation across dozens of languages—to reinforce its push into enterprise AI. The company has also rolled out smart products such as the AINOTE Air 2 across Asia and Gulf markets, with strong uptake in multilingual productivity segments.

OpenAI chief executive Sam Altman is leading a high-stakes campaign across East Asia and the Middle East to secure investment and bolster chip supply for the company’s AI infrastructure push. He has held talks since late September in Taiwan, South Korea and Japan with leading hardware suppliers to prioritise OpenAI’s orders and expand capacity.

Altman has met with Taiwan Semiconductor Manufacturing Company and Foxconn, as well as Samsung and SK Hynix, pressing them to accelerate production and give OpenAI preferential access. In South Korea, Samsung and SK Hynix have signed letters of intent to supply memory chips for OpenAI’s data centres. Meanwhile, OpenAI plans further fundraising discussions in the United Arab Emirates.

The urgency of Altman’s mission reflects the intensifying global competition for advanced computing resources. OpenAI projects it will spend around US$16 billion this year on renting computing servers, with long-term forecasts stretching to US$400 billion by 2029 as AI models grow ever more complex.

Industry analysts note that the semiconductor supply chain remains highly constrained. TSMC dominates GPU chip production, and memory manufacturing is largely concentrated in East Asia, creating significant strategic leverage for the manufacturers approached by Altman.

As part of his tour, Altman is also pressing Japanese firms to contribute to infrastructure support. Hitachi has entered discussions to provide power transmission and distribution systems for OpenAI’s data centres, while sharing technical resources under joint development agreements.

Sources familiar with the process say Altman pushed for direct prioritisation in chip delivery schedules, asking that OpenAI receive top-tier production slots. In some cases, he proposed co-investment or co-development of next-generation AI hardware to bind partner incentives more closely.

In South Korea, early architecture proposals include planned data centres of 20 megawatts in collaboration with Samsung and SK Hynix. Altman is reportedly exploring “floating” data centre designs to manage land constraints and cooling demands.

The UAE leg of his mission is expected to involve negotiations with sovereign investment firms such as MGX and Mubadala, with the aim of funding both OpenAI’s expansion and joint infrastructure ventures in the region. In past rounds, UAE investors have already taken part in funding OpenAI operations.

Challenges remain significant. The sheer scale of chips and memory required for stacked AI model training is pushing the boundaries of global wafer fabrication capacity. Market watchers point to the high capital expenditure and long lead times in the semiconductor industry as obstacles to rapid scaling. Some of Altman’s proposals—for example, co-development of bespoke ASICs—are still in preliminary stages and face technical risk.

OpenAI’s valuation and investor backing give the company leverage. Earlier this year, it closed deals that valued it at about US$500 billion, with new capital injections from investors including SoftBank and UAE entities. Those moves have fortified its position in negotiating upstream deals with manufacturers.