Gitex Asia 2025

GITEX Asia 2025 is the premier technology event in Asia, bringing together global leaders, innovators, and startups to explore cutting-edge advancements in AI, cloud computing, fintech, blockchain, and more.

With over 25,000 attendees, 1,000+ startups, and 220+ speakers, the event is set to be a key platform for networking, collaboration, and discovering the latest tech trends.

Let's meet in person at booth HA-S080, Hall A!

Singapore, Singapore

Nebius talks

From vision to reality: scaling AI with Nebius and startup success stories

April 23, Wednesday, 12:40 — 13:00, Stage: 10x Stage.

Roman Chernin, Chief Business Officer
Mona Li, Director of Startup Ecosystem
Anand Roy, Founder & CEO Wubble.ai

The art of tightrope walking: balancing TCO in AI research and deployment

April 23, Wednesday, 13:00 — 13:30, Stage: 10x Stage.

Tom Blackwell, Chief Communications Officer
Ranvish Vir, Growth Lead for APAC and ME
Dr. Ettikan Karuppiah, Director, Developer Program, ROAP, NVIDIA

Advanced AI infrastructure accelerating BioTech and Life Sciences

April 24, Thursday, 15:00 — 15:15, Stage: Digi Health Stage.

Ilya Burkov, Global Head of Life Science and Healthcare Sales.

Discover how Nebius' cutting-edge AI infrastructure is transforming biotech and life sciences.

This keynote will explore the role of GPU-powered computing in accelerating research, driving innovation, and unlocking new breakthroughs in biology and medicine.

Learn how AI is shaping the future of life sciences and empowering the next generation of scientific advancements.

Cost-effective multi-cloud GenAI inference

April 25, Friday, 11:00 — 11:20, Stage: Elevate Stage.

Narek Tatevosyan, Director of product management.

In this 30-minute session, tailored for cloud architects, ML engineers and DevOps engineers, we’ll take a technical deep dive into implementing cost-effective generative AI inference across multiple cloud providers.

Using AWS and Nebius Cloud as a case study, the talk will explore key cost and performance drivers in AI inference, multi-cloud architecture patterns for AI workloads and practical techniques for seamless integration.

Whether you aim to optimize costs, enhance resilience, or achieve better scalability, you’ll leave with actionable insights and strategies to build robust AI applications in a multi-cloud environment.

Scaling AI inference from MVP to production

April 25, Friday, 11:20 — 11:40, Stage: Elevate Stage.

Olga Chasovskaya, Head of business growth at Nebius AI Studio.

Self-hosting vs pay-per-token: evaluating your GenAI inference strategy

April 25, Friday, 11:40 — 12:00, Stage: Elevate Stage.

Aleksandr Patrushev, Head of Product Management AI/ML.

How do you decide between managing your own large language model (LLM) inference stack — or simply paying for what you use through a managed API?

This session explores critical trade-offs, from performance and cost modeling to data privacy and compliance. We’ll address real-world challenges like GPU scalability, SLA management, operational overhead and handling sensitive data.

Whether your goal is to minimize DevOps complexity or maximize control over your AI pipeline, you’ll leave with a practical framework for choosing between self-hosting tools like vLLM or pay-per-token services.