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SRMG Ventures Invests $5 Million To Boost Anghami’s Growth
As part of the agreement, the Riyadh venture capital firm will also have the option to increase its investment in the future.
With 120 million registered listeners and a catalog of over 100 million songs, streaming platform Anghami has become the go-to destination for Arabic and international music, podcasts, and entertainment in the MENA region.
Now, the venture capital arm of the Saudi Research and Media Group, SRMG Ventures, has invested $5 million in the Arab world’s Spotify equivalent, giving a further boost to the company’s growth.
SRMG Ventures announced that it will offer its “extensive media reach, content library, and portfolio of leading assets in audio/podcasts,” enabling Anghami to grab a larger share of a fast-growing music streaming sector predicted to “reach $700 million in the Middle East and North Africa in 2026”.
Last year, the market size for audio in the MENA region increased by 35%, primarily due to the popularity of cloud-based music streaming services.
“This demand coupled with the commercial opportunity […] makes digital audio and media one of the investment priorities for SRMG Ventures. These opportunities are also demonstrative of our strategy and commitment to support and develop the media ecosystem,” explained Jomana Al-Rashid, chief executive of SRMG.
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According to Grand View Research, global music streaming is projected to hit a value of $103 billion by 2030, growing at a yearly rate of 15%. Anghami is a key player in that growth, becoming the first technology company from the Arab world to be listed on New York’s Nasdaq stock exchange in February 2023.
SRMG Ventures explained that its investment in Anghami aligns with its strategy of backing businesses showing strong commercial growth. The venture capital company is also focused on media creators and immersive, interactive entertainment, with initial investments including Telfaz11, a Saudi media studio, and Vuz, a VR social media application.
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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.
