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Saudi Arabia’s Gaming Sector Is Quickly Gathering Momentum
Around 3,000 locals already attend Gamers8, an 8-week eSports festival in Riyadh, with a tournament prize pool of $45 million.
Saudi Arabian locals make no secret of their passion for video games and eSports, with even Crown Prince Mohammed bin Salman rumored to be an avid Call of Duty player.
Last year, the Saudi royal announced a $38-billion investment strategy for the Kingdom’s Savvy Games Group, which is owned by the country’s Public Investment Fund.
Meanwhile, as Gamers8 — an eight-week eSports festival in Riyadh with 3,000 attendees — gathers momentum, the government is increasingly emphasizing local game production, hoping to turn Saudi Arabia into “an Eden for game developers” with homegrown titles promoting Arabic culture.

“In the past, Arabs were only buying games, not developing games. Now, there is an opportunity to develop games, design your own ideas, and make them a reality according to local customs and traditions,” explained developer Mohammed Al Fakih.
Two-thirds of the non-immigrant population of Saudi Arabia is aged under 30, making the country an important player in the world video game market. In addition, some 25,000 domestic and foreign developers are currently working to find the winning formula that will help a locally-produced title break out on the world stage.

“With the expertise coming from outside and the knowledge being transferred, we will soon notice some games that can really take off internationally,” said Faisal bin Homran, chief eSports officer at the Saudi Esports Federation.
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Saudi Arabia’s national strategy has even more ambitious dreams: By 2030, officials hope that 30 globally competitive games will have been produced in domestic studios.
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.
