Nebius has announced plans to expand its AI infrastructure operations into Southeast Asia, identifying Singapore as a potential regional hub.
The company will participate in GITEX Asia 2025, an event gathering AI and technology sector leaders, regulators and innovators in Singapore, to showcase its AI cloud solutions and discuss developments in AI infrastructure for the region.
During the conference, Nebius executives are scheduled to address a range of topics including the acceleration of breakthroughs in biotech and life sciences, multi-cloud generative AI inference, and challenges facing startups in scaling AI solutions.
Roman Chernin, Chief Business Officer at Nebius, commented, “Dedicated, high-performance AI cloud infrastructure is essential to drive accelerated AI adoption across Southeast Asia. GITEX Asia provides us with a strategic entry point to engage with the region’s AI community, share our expertise, and collaborate with industry and enterprise leaders to drive the future of AI.”
The company has introduced several support initiatives to engage and support startups, including its Nebius for Startups programme and Nebius AI Lift in collaboration with the NVIDIA Inception programme. As part of its activities at GITEX Asia, Nebius will sponsor five startups to attend and will provide GPU and inferencing credits to selected winners in AI Startups and Healthcare competitions.
Nebius’ move into Singapore relates to a broader focus on making AI resources accessible in Southeast Asia. The plan includes examining gaps in regional AI infrastructure and establishing partnerships with local government and research institutions to support the growth of the AI sector.
Chernin added, “Nebius is committed to collaborating with local enterprises, governments, and research institutions to drive the growth of the AI economy. Singapore’s favorable location, business-friendly environment, and forward-thinking AI policies give us a good base to grow our network and help support AI adoption. By working with stakeholders across the region, we can unlock new opportunities, accelerate growth, and foster a vibrant tech ecosystem that will drive AI advancements and shape the future of multiple industries.”
Since its launch in July 2024, Nebius says it has established a significant presence in AI infrastructure, with offerings such as the Nebius AI Cloud platform and AI Studio inferencing services. These services enable clients from individuals to large enterprises to access compute, storage, managed services and specialised software for training and deployment of AI models.
The company closed a funding round of USD $700 million in December 2024 with backing from investors such as NVIDIA and Accel. In 2024, Nebius reported 462% year-on-year revenue growth and stated aims to achieve annual recurring revenue of up to USD $1 billion by the end of 2025. SemiAnalysis, an independent industry analysis portal, recently awarded the company Gold status in its GPU Cloud ClusterMAXTM Rating System.
During GITEX Asia 2025, Nebius will sponsor and participate in a series of presentations and panel discussions. Chernin and Mona Li, Global Head of Startup Ecosystem, are set to present on scaling AI startups. Tom Blackwell, Chief Communications Officer, will moderate a discussion on balancing total cost of ownership in AI research and deployment, featuring Ranvish Vir, Growth Lead for Middle East and APAC.
Ilya Burkov, Global Head of Healthcare and Lifesciences Growth, is scheduled to address the application of advanced AI infrastructure in biotech and life sciences. Narek Tatevosyan, Product Director, will discuss cost-effective multi-cloud generative AI inference, followed by Alexander Patrushev, Senior Product Manager, who will evaluate self-hosting versus pay-per-token inference strategies.
The company operates a global structure with research and development hubs located in Europe, North America and Israel, and employs approximately 400 engineering and in-house AI staff. Nebius’ proprietary cloud architecture and hardware portfolio includes servers, racks, and data centre designs developed to support AI and machine learning workloads. The company holds Reference Platform NVIDIA Cloud Partner status, meeting requirements for AI cloud provision on a global scale.