News
Ring Introduces Spotlight Cam Plus In Saudi Arabia
The company is elevating its outdoor security lineup with features including color night vision and built-in spotlights.
Ring has been at the forefront of smart home security for a decade, offering an affordable range of whole-home tech to make neighborhoods safer.
Today the company has introduced a brand new product for the Saudi Arabian market called the Spotlight Cam Plus — a next-generation device featuring a wide-angle lens, 1080p HD video, built-in LED spotlights, and a powerful alert siren.
The Spotlight Cam Plus builds on the previous model’s feature set with Color Night Vision, wired and battery-powered modes, plus an all-new design.
Smart, Customizable Outdoor Security
The Spotlight Cam Plus is available in black or white and retains all of the regular features Ring users have come to rely on, including real-time notifications, Two-Way Talk, and Live View.
The new Color Night Vision mode is improved by two motion-activated LED spotlights, allowing homeowners to keep a watchful eye on their property, day or night. In addition, Customizable Motion Zones can be set to trigger events, with Privacy Zones excluding certain areas from the camera’s field of view.
Also Read: The Largest Data Breaches In The Middle East
Solar Panel USB-C
As well as announcing the new Spotlight Cam Plus, Ring also introduced its new Solar Panel USB-C solution. The unit connects seamlessly to the Spotlight Cam Plus and other Ring devices and can keep the cameras topped up with power after only a few hours of direct sunlight, using an adjustable arm to achieve the correct angle for the solar panel.
Pricing & Availability
Spotlight Cam Plus and Solar Panel USB-C are available now on Amazon.sa in Saudi Arabia, starting from SAR 779 for a kit including both devices.
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.
