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Crypto Trading Platform Rain Gets Faster, Direct Payments
The partnership with Tarabut Gateway is the first “directly integrated” open banking API in the MENA crypto sector.
Tarabut Gateway, the largest open banking platform in the MENA region, has announced a new partnership with Rain, the region’s first fully-regulated crypto assets trading platform.
Rain is licensed by the Central Bank of Bahrain as a crypto broker and offers users a safe, secure space to buy and sell crypto and store their assets. Meanwhile, Tarabut Gateway provides connectivity for payments between banks and fintech, offering a smooth, fast payment process for end users.
The partnership is the first of its kind in the MENA region. It will help to bring about faster, lower-cost fiat-to-crypto transfers to end-users in Bahrain, enabling direct payments from bank accounts without the need to leave Rain’s platform.
“We’re delighted to unveil a solution to make fiat-to-crypto transfers quicker, more secure, and cost-effective. Our partnership with Rain is a perfect cross-sector synergy, made possible by Bahrain’s advanced open banking ecosystem,” says Abdulla Almoayed, Founder and CEO of Tarabut Gateway.
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The new payment method utilizes Tarabut Gateway’s open banking solution to facilitate fiat-crypto-fiat transfers, reducing errors and unlocking significantly increased transfer speeds compared to traditional bank services. The upgrade is part of Rain’s strategy to provide users with a premium, seamless crypto wallet experience.
“Through quick and efficient deposit mechanisms, crypto traders on Rain’s platform will now be able to seamlessly fund their accounts and capitalize on market movements,” says Joseph Dallago, Chief Executive Officer of Rain.
The partnership comes as MENA’s crypto sector expands at a breakneck pace. According to Chainalysis, the region is the world’s fastest-growing crypto market, with trading volumes climbing nearly 50% in the year to June 2022.
News
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.
NVIDIA Puts GPT-5.5 Codex In Hands Of 10,000 Staff
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