MeetKai Plans Sovereign AI Rollout Across Six Countries
MeetKai said in a press release it will roll out its sovereign AI platform across Brazil, Ukraine, Pakistan, Kazakhstan, Uzbekistan and Bangladesh. The MK-A1 SOVIA platform and locally trained models will run on accelerated computing, networking and software from NVIDIA.
In Brazil, MeetKai Brasil will deploy the platform after winning a public tender from SERPRO, the federal government technology provider. The deployment includes locally trained models and a coding agent for secure workflows, with data processing hosted inside Brazil.
MeetKai and Kyivstar plan to build Ukraine's first national scale AI factory. Initial capacity is planned for 2027, and the facility is designed to expand from 15 MW to 100 MW. It will host Ukrainian language models and provide computing and AI services to government agencies, infrastructure operators, companies and Kyivstar customers.
The remaining deployments will involve VEON and its local operators in Pakistan, Kazakhstan, Uzbekistan and Bangladesh. MeetKai and each local operator will run the sites and train local engineers to manage and extend them.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.
Also, consider following us on social media:
More from Data Centers
Nov 14 Telus pulls out of two Vancouver AI data centre projects with Westbank Nov 14 Petition to reinstate Jensen Huang as Nvidia CEO passes 115,000 signatures, with Elon Musk among signers Nov 14 Asian governments respond to Jensen Huang's exit from Nvidia Nov 14 Malaysia plans law making data centres disclose AI chip imports and power use to curb smuggling Nov 14 More than 13,000 object to Chapelcross plan for world's largest AI data centre campusSilicon Brief
Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Gcore and TengriAI Explore 100 MW GPU Data Centre in Kazakhstan
SC Capital and NeoAI Cloud Partner on South Korea AI Data Center
Kazakhtelecom Plans More Than 2,000 New GPUs in 2027
Freedom Plans Kazakhstan GPU Cloud for 2027
Boosteroid, Gaw Capital and Firebird AI plan 480 MW of data centres in Kazakhstan's Data Center Valley
Daily AI Brief: the AI news that matters, in your inbox.