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Cisco will unveil its latest innovations at GITEX GLOBAL 2025 in Dubai, aiming to equip enterprises across the Middle East and broader region with infrastructure built specifically for the AI era. The showcase focuses on AI-ready data centres, resilient network architectures, and strengthened security frameworks designed to support advanced workloads in data-intensive environments.

By joining the AI Infrastructure Partnership alongside BlackRock, Microsoft, NVIDIA, xAI and others, Cisco has committed to accelerating capital flows into datacentre and infrastructure projects. The partnership expects to unlock $30 billion in initial funding, scaling up to $100 billion including debt financing. Cisco brings its network, security and systems expertise to support the platform’s mission of secure, at-scale AI infrastructure.

At the heart of Cisco’s push is its new Cisco Data Fabric, launched in integration with Splunk, which provides federated data access across systems such as Amazon S3, Iceberg, Delta Lake and Snowflake, routing workloads intelligently to the best analytics or storage engine. This architecture is intended to reduce data movement, shorten analysis latency, and enable enterprises to transform machine data into AI-ready intelligence.

To support retrieval-augmented generation and agentic AI deployments, Cisco introduced the Secure AI Factory solution with NVIDIA and VAST Data. This validated architecture accelerates data extraction and retrieval at scale while enforcing security guardrails for every token processed. AI PODs built under this architecture offer pre-validated, high-performance building blocks for enterprise AI.

Networking and security are being redefined for the AI workload environment. At Cisco Live 2025, the company launched a next-generation network architecture for campus, branch and industrial environments, delivering unified management and devices purpose-built to support AI traffic patterns. It also introduced Hybrid Mesh Firewall and Universal Zero Trust Network Access to embed security into network fabric across hybrid and distributed environments. These features aim to simplify policy enforcement, improve visibility, and reduce complexity in securing both human users and AI agents.

Cisco CEO Chuck Robbins disclosed that fiscal year 2025 saw record AI infrastructure orders. In its final quarter, the company secured over $800 million from webscale clients, bringing total AI-focused orders to more than $2 billion—more than double its initial target. He described the pipeline as steadily growing into “hundreds of millions” as enterprises demand scalable, secure solutions.

In the Middle East, Cisco plans to demonstrate the regional relevance of its technologies under the theme “Make AI Work for You.” According to Cisco’s new AI Readiness Index, a vast majority of organisations in the UAE expect to expand their data centre capacity for AI within five years. The company will also present its work with Splunk on security and observability platforms at the event.

Cisco’s collaboration with Saudi Arabia’s HUMAIN is intended to build out an open, scalable AI infrastructure ecosystem aligned with Vision 2030. The multi-year programme includes deployment of cloud-based AI infrastructure, joint research initiatives, and efforts to grow local talent and innovation. The partnership underscores Saudi ambitions to position itself as a global AI hub.

Cisco sees accelerating demand for network modernisation. Its internal research reports that 97 percent of IT leaders view modernised networks as critical to deploying AI, cloud and IoT workloads, and 98 percent rate secure networking as essential for growth. However, the same study notes that only 40 percent of organisations have begun deploying advanced segmentation or intelligent control, illustrating an execution gap.

To strengthen its AI strategy, Cisco also expanded its presence in Indonesia by signing a Letter of Intent with BRIN to develop AI and cybersecurity capabilities via its Country Digital Acceleration programme. The plan includes building an AI Centre of Excellence and delivering training in AI, security and networking to 500,000 Indonesians by 2030.

Splunk’s observability portfolio itself is being reworked to embrace agentic AI, deploying AI agents to automate tasks such as root cause detection, alert correlation and issue resolution. This is intended to lighten the operational burden on IT and engineering teams while driving real-time insight.

Telecom operator du and technology vendor Nokia have completed a trial of an artificial intelligence–driven automation system aimed at simplifying and expediting the expansion and management of optical networks in the UAE.

The deployment tested Nokia’s WaveSuite AI, which combines traditional AI methods with generative models to assist du engineers with tasks such as planning, troubleshooting and documentation retrieval. The trial reportedly halved the time needed for optical network planning and produced designs 30 percent more efficient, while reducing errors during deployment.

During the trial, du’s engineering team used a single natural language interface to query live network status, access accurate documentation instantly, and simulate potential network evolutions. The system flagged possible inconsistencies or conflicting configurations early, allowing corrective adjustment before full-scale rollout. According to du, the result was faster troubleshooting, fewer manual errors and improved resource utilisation.

Saleem AlBlooshi, chief technology officer at du, said the trial “shows how innovation can transform network operations to face challenges brought on by increasingly sophisticated networks and ever-higher traffic volumes.” He emphasised that the automation of routine tasks and provision of intelligent tools would lead to more reliable, SLA-backed connectivity for customers.

From Nokia’s standpoint, Ron Johnson, senior vice president and general manager of Optical Networks, called WaveSuite AI “a demonstration of the real value of automation solutions with both classical and generative AI for optical networking.” He noted that the system reduces friction in planning, documentation search, and operational processes, and helps service providers accelerate provisioning of higher-speed, more reliable services.

The trial builds on du’s broader effort to embed AI and automation more deeply across its systems. Earlier this year, du partnered with Microsoft, Nokia, Khalifa University’s 6G Research Center and the ITU to launch an “Arabic Telecom LLM,” a large language model tailored for internal telecom operations. That model is designed to handle internal workflows, resolve device issues, process complaints and provide operational insights in Arabic and English. The initiative is part of du’s strategy to blend regional research leadership and global AI tools while retaining language and cultural fidelity in its operations.

This AI-driven automation trial comes amid growing pressures on telecom operators worldwide to scale quickly to meet surging demand for bandwidth, driven by AI workloads, data centers and new real-time applications. As networks grow in complexity, manual processes no longer scale efficiently, pushing operators into an era of closed-loop or autonomous operations. Nokia, in its public literature, frames network automation as essential to reducing manual intervention, improving performance and enabling faster service delivery across domains such as core, mobile, IP and optical networks.

In the UAE context, this trial signals du’s ambition to advance its optical infrastructure ahead of demand peaks, while benchmarking its operations for future 6G readiness. The success of automation in planning and deployment could reduce operational costs, increase agility, and support more complex services such as network slicing, ultra-low latency applications and differentiated service tiers.

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.

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