Overview
Unleash the Power of Generative AI with NVIDIA NIM microservices
As organizations transition from generative AI experiments to deploying and scaling generative AI applications in production, the focus on production model deployment for inference—where AI delivers results—is growing. In addition to strategies that ensure data security and compliance while enabling flexibility and agility for innovation, enterprises need a streamlined, cost-effective approach to managing AI inference at scale.
Join us for an engaging webinar where we'll explore key considerations for deploying and scaling generative AI in production, including the critical role of AI inference. Through real-world case studies highlighting successful enterprise deployments, we'll uncover best practices supporting enterprise data security and compliance, enabling developer innovation and agility, and unlocking AI inference for production applications at scale.
Don't miss out on this opportunity to accelerate your enterprise journey to generative AI.
Learnings
In this webinar, you'll learn:
The Current Landscape of Generative AI: Understand the latest trends and challenges in deploying generative AI models.
NVIDIA NIM microservices: A Game-Changer: Discover how NVIDIA NIM microservices can significantly improve the performance and efficiency of your generative AI inferences.
Real-World Case Studies: Hear from industry experts at Lynx Analytics, MetaLearner (formerly Quantex), and LinkerVision as they share their experiences using NVIDIA NIM microservices to optimize their AI applications.
The Power of Inception: Learn how Inception can be used in conjunction with NIM microserivces to further enhance your AI development.
Schedule
Date: 05 Dec 2024, Thursday
Time: 1:30 PM - 3:00 PM (GMT +8:00) Kuala Lumpur, Singapore
Location: Online
Speakers
Speaker's Profile:
Hariharan Suresh, Senior Cloud AI & Generative AI Technologist, NVIDIA
Hariharan Suresh is a Senior Cloud AI & Generative AI Technologist at NVIDIA. He works with Asia Pacific and ANZ developer teams to help them use NVIDIA-powered AI solutions and SDKs efficiently. With over 14 years of experience developing software and AI applications, he is passionate about empowering organizations to leverage AI/ML to create innovative and scalable solutions that increase their business value. Prior to joining NVIDIA, Hariharan assisted APJ customers in adopting Cloud Computing and Machine Learning solutions (Senior Solutions Architect, AWS Singapore), worked as Conversational AI product architect (Active Intelligence, Singapore).
Speaker's Profile:
Benjamin Chan , Head of Startup & VC Partnerships, Asia Pacific South, NVIDIA
Based in Singapore, Ben oversees NVIDIA Inception Program to develop the startups & VC ecosystem across Southeast Asia, Australia, and New Zealand. As the Inception Partner Manager, he recruits startups as Inception partners, enables startups to successfully use NVIDIA technologies, facilitating proof of concept or product design, supports co-marketing activities, and helps to sell Inception partner solutions through NVIDIA global network. A large part of Ben's career revolves around the startups ecosystem; he has worked in startups (seed and series C), he was a startup founder, he was in VC, and was also in corporate innovation, where he helps connect corporates to startups and build new business ventures. Ben loves being in the startups scene, finding out how startups are coming up with solutions to solve pain points. Ben holds an MBA from IE Business School and is currently pursuing a Technology and Engineering Management Graduate Program at Stanford University.
Speaker's Profile:
Li Jung (LJ), Startup & Ecosystem Developer Programs, Asia Pacific South, NVIDIA-91383814-90d0-4e5b-9342-7acc3140e19b.png)
Based in Singapore, Li Jung (LJ) overseas NVIDIA Inception Program, where she is responsible for key partnerships with startup ecosystem builder of various forms across Southeast Asia, Australia and New Zealand. Her work includes startup outreach, facilitating access to NVIDIA Technologies, and foster network connections with and among the startup ecosystem. LJ has a long-standing history of working with and building the startup ecosystem. Prior to joining NVIDIA, she spent more than a decade of her career in Microsoft. Through various positions, helped developed the startup and developer ecosystem and engagements in Asia, land public cloud operations in new markets, and lead pioneering co-engineering projects with strategically selected Fortune 100 companies in their digital transformation efforts.
Speaker's Profile:
Daniel Darabos, Chief Architect, Lynx Analytics
Daniel leads the research team for LLM-based reasoning and the engineering team for GPU-based graph analytics. He is guided by a desire to make cutting-edge algorithms and sophisticated analytics technologies, such as Graph AI, accessible to any analytics users. Daniel has overseen and taken part in the development of both LynxKite and CHI since their inception. Before joining Lynx, he worked as a site reliability engineer at Google.
Speaker's Profile:
Lim Ting Hui, CTO, MetaLearner
Lim is the Head of Technology at MetaLearner, where he leads the development of AI solutions that make data science accessible to all users, regardless of their technical expertise. At MetaLearner, Lim has been instrumental in building the AI Copilot, a tool that allows users to interact with their data by speaking to the AI, which then handles data cleaning, analysis, and retrieval. His team has successfully automated the data engineering process, empowering both novice and expert users with actionable insights. Lim is focused on pioneering research in data science and Generative AI to continually improve MetaLearner’s performance and scalability. His vision is to raise the baseline of data accessibility, similar to how ChatGPT transformed knowledge search. MetaLearner stands out by combining user-friendly interfaces with advanced data science capabilities, including innovations like the “cached database” method, which saves clients up to 70% in operational ERP costs.
Speaker's Profile:
Willy Kuo, Co-founder & Chief Architect, Linker Vision
Co-founder and CTO of Linker Vision, leads both the product and R&D teams. Skilled in both Mathematics and Computer Science, he combines deep technical expertise with strategic leadership. Passionate about NVIDIA's technology, Willy is committed to driving innovation at Linker Vision, positioning the company as a global leader in Vision AI and VLM solutions.
