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PayPal Links With NEO PAY To Power UAE E-Commerce
New integration lets UAE merchants accept PayPal at checkout, cutting friction for SMEs selling to customers abroad.
PayPal has struck a partnership with UAE acquirer NEO PAY to let local merchants accept PayPal payments, giving businesses a faster route to overseas customers and cross-border sales.
The deal connects PayPal directly to NEO PAY’s acquiring infrastructure, allowing online sellers to switch on PayPal at checkout without separate integrations or complex onboarding. For smaller merchants, that removes a common barrier to selling internationally: access to a payment method foreign shoppers already recognize.
The timing is deliberate. The UAE’s e-commerce market is projected to reach $21.18 billion by 2030, according to Mordor Intelligence, as online retail and digital services continue to outpace traditional channels. SMEs — about 94% of all businesses in the country and more than half of GDP — account for much of that activity, yet often lack the tools to handle cross-border payments at scale.
For PayPal, the agreement extends its footprint in the Middle East and Africa through a local partner rather than a standalone build-out. “Deepening our presence through this partnership with NEO PAY is a critical step in our regional growth strategy,” said Otto Williams, Senior Vice President, Regional Head and General Manager, Middle East and Africa, at PayPal. “By integrating PayPal, merchants, especially SMEs, can better serve today’s digital-first consumers and scale with confidence”.
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NEO PAY, which focuses on digital acquiring for e-commerce merchants, is positioning the tie-up as a way to broaden payment choice while keeping operations simple. “This partnership allows us to provide secure, trusted, and globally recognized payment options — enhancing the checkout experience and supporting our merchants’ growth across borders,” said Vibhor Mundhada, CEO of NEO PAY.
The move reflects a wider shift in the Gulf’s payments stack. Local processors are increasingly acting as gateways to global wallets and networks, a model that fits the UAE’s push to grow exports, support SMEs and cement its role as a regional digital commerce hub. For merchants, it’s straightforward: fewer hoops at checkout, more reach beyond the country’s borders.
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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.
