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Google Launches Arabic Version Of AI Chat Tool Bard
The generative AI platform can understand 16 dialects, including Saudi, Egyptian, and Emirati.
Alphabet, the company in charge of Google’s extensive suite of products, has launched an Arabic version of its artificial intelligence platform, Bard. The tool now contains updates to address Arabic speakers’ unique needs amid the search giant’s increasing rivalry with Microsoft and its infamous ChatGPT platform.
The conversational AI tool can understand questions in 16 colloquial Arabic dialects, including Egyptian, Emirati, and Saudi. However, the AI chatbot will provide answers in classical Arabic, Google execs explained at a Dubai press briefing.
“Bard will be available in the Arabic language across all corners of the Arab world as part of its global launch in 40 other languages,” announced Najeeb Jarrar, regional director of marketing for Google MENA.
Bard in Arabic now features a user interface supporting the language’s right-to-left script. At the same time, users can also input questions in several languages simultaneously, helping both bilingual speakers and novice language students.
“A big team of Google’s engineers and linguist experts worked together over the last months so that the product, Bard, will not just be a translation […] but a product that matches our use in the Arabic language,” said Marwa Khost, Google’s communications manager for MENA.
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When asked whether the relatively limited volume of Arabic online content would affect the depth of Bard’s responses, Google explained that the AI platform could source material from the wider online landscape and translate it into a user’s preferred language. The search company’s execs also noted that the amount of Arabic content had grown and diversified exponentially in recent years.
The launch of Bard in Arabic comes as the AI tool is rolled out across 59 new regions and countries, including Brazil and most of Europe. The latest expansion means Bard is available in 46 languages and 239 countries and territories.
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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