Overview
Note: Due to limited capacity for this session, all registrations are subject to final approval. Please look out for a confirmation of registration which will be sent directly to your email. (Only participants who have received this confirmation will be able to attend this Tech Talk).
By registering for this Tech Talk, you agree to the sharing of your registration details with the workshop organising partners.
Join us for the SGInnovate x NVIDIA Tech Talk 2026 - returning for its second edition - as part of SGInnovate’s Let’s TECH It series, an exciting session where innovation meets practical application.
Open-source AI is rapidly reshaping how organizations build, scale, and operationalize intelligence. In this session, an NVIDIA expert will explore how AI factories are powering a new generation of intelligent digital workers - agents that learn continuously, reason contextually, plan autonomously, and collaborate with humans to deliver measurable business impact.
Course Description & Learning Outcomes
This Tech Talk combines two complementary experiences:
A GTC 2026 Watch Party
A Hands-on Training Lab
Participants will also have a chance to win exclusive prizes, including 01 RTX PRO 6000 Blackwell WS.
Target Audience
AI developers & ML engineers building agentic AI systems
Solution architects & cloud engineers deploying AI at scale
Business executives exploring production-ready AI strategies
By attending this Tech Talk, you will:
Understand how AI factories transform raw data and foundation models into continuously improving digital workers.
See how open source AI accelerates innovation while maintaining enterprise-grade control and governance.
Learn how memory, reasoning, planning, and multi-modal capabilities are redefining real-world workflows.
Gain a practical roadmap for translating AI experimentation into scalable, production-ready systems.
Hands-on Training Lab
Topic: Introduction to NVIDIA NIM™ Microservices
NVIDIA NIM™ microservices enable secure, reliable, high-performance AI model inferencing across cloud, data centers, and workstations. This Deep Learning Institute (DLI) lab focuses on practical deployment and real-world application building.
By joining the hands-on lab, you will:
Understand the architecture and key capabilities of NVIDIA NIM™ microservices.
Deploy NIM in a self-hosted environment and manage AI inference infrastructure.
Build an AI chatbot using Retrieval-Augmented Generation (RAG).
Explore how to scale AI applications for enterprise use cases using optimized community models.
Course Prerequisites: Familiarity with artificial intelligence
Tools, libraries, frameworks used: NVIDIA NIM™ Inference Microservices, Docker
Giveaway Details
In addition to knowledge and networking, attendees will stand a chance to win:
01 RTX PRO 6000 Blackwell WS.
01 Brev Credit (100$ value)
NVIDIA Brev simplifies GPU access by offering virtual machine instances with various GPU types. Instead of being limited to one cloud provider, Brev pulls resources from multiple providers, helping you find the right GPU setup for your workload (learn more about NVIDIA Brev Credit)
Recommended Prerequisites
Familiarity with artificial intelligence
Pre-course instructions
Completion of the following mandatory steps is required for your application to be considered for approval to attend this session, as well as to qualify for participation in the giveaway.
Sign up for NVIDIA GTC Virtual (Free Registration): https://nvda.ws/3OupreR
Join this live GTC Virtual session at 4pm SGT on March 19: Accelerate AI Through Open-Source Inference
Bring your laptop as there will be hands-on work during the session
Schedule
Date: 01 Apr 2026, Wednesday
Time: 3:30 PM - 6:30 PM (GMT +8:00) Kuala Lumpur, Singapore
Location: 32 Carpenter Street, 059911
Agenda
| Day/Time | Agenda Activity/Description |
|---|---|
| 3:30pm | Tech Talk Begins |
| 3:30 - 4:15pm | GTC 2026 Watch Party “Open-Source AI Shaping the Next Era of Intelligent Digital Workers” |
| 4:15 - 4:25pm | Tea Break |
| 4:30 - 6:00pm | Hands-on Training Lab “Introduction to NVIDIA NIM™ Microservices” |
| 6:00 - 6:30pm | Networking |
| 6:30pm | End of Session |
Skills Covered
PROFICIENCY LEVEL GUIDE
Beginner: Introduce the subject matter without the need to have any prerequisites.
Proficient: Requires learners to have prior knowledge of the subject.
Expert: Involves advanced and more complex understanding of the subject.
- Artificial Intelligence (Proficiency level: Proficient)
Speakers
Trainer's Profile:
Hariharan Suresh, Senior Cloud & Generative AI Technologist, NVIDIA
Hariharan Suresh is a Senior Cloud & Generative AI Technologist at NVIDIA, driving AI adoption and developer innovation across Asia Pacific and ANZ. With 16 years in cloud and AI leadership, he helps organizations build and scale generative, agentic, and intelligent AI solutions. Formerly leading AI solutions at AWS for FinTech & Digital Native Businesses, Hariharan brings deep expertise in AI workflows helping businesses enhance their strategic advantage through AI.





