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Phoenix Group & Green Data City Plan Crypto Farm In Oman

The $300 million facility is expected to be fully operational by Q2 2024.

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phoenix group and green data city plan crypto farm in oman

Muscat-based Green Data City has teamed up with Abu Dhabi’s Phoenix Group to build a $300 million crypto farm facility in the Gulf state of Oman.

The 150-megawatt data farm will be one of the largest crypto-mining centers in the region and is expected to be fully operational by the second quarter of 2024.

green data city and phoenix group partnership oman crypto farm

Crypto-mining farms are large facilities filled with racks of PCs sporting high-end GPUs. They are designed to mine cryptocurrencies such as Bitcoin and Ethereum using a complex network of software and computers. The process involves solving intricate mathematical calculations to produce new digital currencies — something that requires massive computer resources and lots of electrical power.

Green Data City and the Phoenix Group chose Oman for their mining farm due to the long-term security of the license terms and the comparatively cooler weather in the country’s Dhofar region, which should help to reduce energy consumption.

The first development phase will output 200MW of mining power, while the second phase will reach 400MW, creating a hyperscale data center with downstream activities that will include renewable energy and hydrogen production, desalination, food production, and cosmetics.

Also Read: Help Scout Review: The Only Help Desk Software You’ll Ever Need

The developers will build the new facility in modular sections to reduce environmental impact and intend to install solar shades and employ specialized local technicians.

Oman’s economy is now on a solid footing as the Gulf country forges ahead with its economic diversification initiatives, backed by favorable oil prices and successful fiscal reforms during a time of stable inflation.

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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.

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nvidia puts gpt-5.5 codex in hands of 10000 staff
NVIDIA

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.

openai's new gpt-5.5 powers codex on nvidia infrastructure 2

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.

Also Read: Deezer Says AI Tracks Now Make Up 44% Of Uploads

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.

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