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Oracle Plans Dubai Expansion And Cloud Infrastructure Upgrade
The company is working to meet surging worldwide demand and is set to expand its presence across the wider region.
Oracle is set to expand its presence in Dubai as part of a broader strategy to bolster its cloud infrastructure in the Middle East in the midst of the region’s ongoing digital transformation.
The forthcoming expansion of Oracle’s Dubai office aims to provide customers with the opportunity to explore the future of their businesses through cutting-edge AI and cloud technologies.
A pivotal aspect of the expansion entails the development of a state-of-the-art customer experience center within Oracle’s Dubai facility. This center will not only serve as a showcase for innovative AI and cloud technologies but also feature futuristic workspaces designed to enhance employee productivity.
Presently, Oracle operates three live cloud regions in the Middle East, distributed across Abu Dhabi, Dubai, and Jeddah. Additionally, they have plans to establish two more in Riyadh and Neom, Saudi Arabia’s emerging high-tech city, to meet escalating demand.
While no specific timeline was provided for the launch of these upcoming cloud regions, it is evident that cloud adoption in the Middle East is thriving. A tech-savvy younger generation and government efforts to shape the digital future of their economies have spurred global cloud providers, including Oracle, Microsoft, Amazon, IBM, and Alibaba Cloud, to invest in the region.
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Although Oracle refrains from disclosing market share figures, recent industry data suggests Oracle has a 2% global market share, ranking eighth. Notably, Amazon Web Services leads with 32%, followed by Microsoft Azure with 22%, and Google Cloud with 11%.
As part of its commitment to fostering AI skills, Oracle has also partnered with the Dubai Business Women Council to launch the sAIdaty initiative, designed to empower women professionals and entrepreneurs. The year-long program aims to equip 500 council members with AI skills, contributing not only to their professional growth but also to the UAE’s digital economy objectives.
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NVIDIA Puts GPT-5.5 Codex In Hands Of 10,000 Staff
The chipmaker has significantly expanded OpenAI’s latest model across teams from engineering to HR under tight internal controls.
NVIDIA has started rolling out OpenAI’s GPT-5.5 model through the Codex coding agent to more than 10,000 employees, extending the tool well beyond software teams and into core business functions.
The deployment covers engineering, product, legal, marketing, finance, sales, HR, operations and developer programs. Staff are using Codex for coding, internal research and routine knowledge work as companies test whether AI agents can move from demos to daily use.
GPT-5.5 is running on NVIDIA’s GB200 NVL72 rack-scale systems, linking OpenAI’s newest model directly to the chipmaker’s latest infrastructure push. NVIDIA said the systems cut cost per million tokens by 35 times and raise token output per second per megawatt by 50 times versus earlier generations.

Inside the company, it says the effects are immediate. Debugging work that once took days is being finished in hours and experiments across large codebases that used to stretch over weeks are now handled overnight. Teams are also building features from natural-language prompts with fewer failed runs.
In a company-wide note urging staff to adopt the tool, CEO Jensen Huang wrote: “Let’s jump to lightspeed. Welcome to the age of AI.”
Security remains central to the rollout. Codex can connect through Secure Shell to approved cloud virtual machines, allowing agents to work with company data without moving it outside approved environments. NVIDIA said it assigned cloud VMs to employees so agents run in isolated sandboxes with full audit trails.
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The company added that the setup uses a zero-data-retention policy. Access to production systems is read-only through command-line tools and internal automation layers.
The move also highlights NVIDIA’s long relationship with OpenAI. NVIDIA said the partnership began in 2016, when Huang personally delivered the first DGX-1 AI supercomputer to OpenAI’s San Francisco office.
The two companies have since worked across hardware and model deployment. NVIDIA also said OpenAI plans to deploy more than 10 gigawatts of NVIDIA systems for future AI infrastructure.
For Gulf markets pouring money into sovereign AI and enterprise automation, the signal is clear: internal AI agents are moving from pilot phase to standard tooling.
