Wednesday, February 26th 2025
NVIDIA & Partners Will Discuss Supercharging of AI Development at GTC 2025
Generative AI is redefining computing, unlocking new ways to build, train and optimize AI models on PCs and workstations. From content creation and large and small language models to software development, AI-powered PCs and workstations are transforming workflows and enhancing productivity. At GTC 2025, running March 17-21 in the San Jose Convention Center, experts from across the AI ecosystem will share insights on deploying AI locally, optimizing models and harnessing cutting-edge hardware and software to enhance AI workloads—highlighting key advancements in RTX AI PCs and workstations.
Develop and Deploy on RTX
RTX GPUs are built with specialized AI hardware called Tensor Cores that provide the compute performance needed to run the latest and most demanding AI models. These high-performance GPUs can help build digital humans, chatbots, AI-generated podcasts and more. With more than 100 million GeForce RTX and NVIDIA RTX GPUs users, developers have a large audience to target when new AI apps and features are deployed. In the session "Build Digital Humans, Chatbots, and AI-Generated Podcasts for RTX PCs and Workstations," Annamalai Chockalingam, senior product manager at NVIDIA, will showcase the end-to-end suite of tools developers can use to streamline development and deploy incredibly fast AI-enabled applications.
Model Behavior
Large language models (LLMs) can be used for an abundance of use cases—and scale to tackle complex tasks like writing code or translating Japanese into Greek. But since they're typically trained with a wide spectrum of knowledge for broad applications, they may not be the right fit for specific tasks, like nonplayer character dialog generation in a video game. In contrast, small language models balance need with reduced size, maintaining accuracy while running locally on more devices.
In the session "Watch Your Language: Create Small Language Models That Run On-Device," Oluwatobi Olabiyi, senior engineering manager at NVIDIA, will present tools and techniques that developers and enthusiasts can use to generate, curate and distill a dataset—then train a small language model that can perform tasks designed for it.
Advancing Local AI Development
Building, testing and deploying AI models on local infrastructure ensures security and performance even without a connection to cloud-based services. Accelerated with NVIDIA RTX GPUs, Z by HP's AI solutions provide the tools needed to develop AI on premises while maintaining control over data and IP.
Learn more by attending the following sessions:
NIM microservices are optimized, prepackaged models for generative AI. They span modalities important for PC development, and are easy to download and connect to via industry-standard application programming interfaces.
Attend GTC 2025
From the keynote by NVIDIA founder and CEO Jensen Huang to over 1,000 inspiring sessions, 300+ exhibits, technical hands-on training and tons of unique networking events—GTC is set to put a spotlight on AI and all its benefits.
Source:
NVIDIA Blog
Develop and Deploy on RTX
RTX GPUs are built with specialized AI hardware called Tensor Cores that provide the compute performance needed to run the latest and most demanding AI models. These high-performance GPUs can help build digital humans, chatbots, AI-generated podcasts and more. With more than 100 million GeForce RTX and NVIDIA RTX GPUs users, developers have a large audience to target when new AI apps and features are deployed. In the session "Build Digital Humans, Chatbots, and AI-Generated Podcasts for RTX PCs and Workstations," Annamalai Chockalingam, senior product manager at NVIDIA, will showcase the end-to-end suite of tools developers can use to streamline development and deploy incredibly fast AI-enabled applications.
Large language models (LLMs) can be used for an abundance of use cases—and scale to tackle complex tasks like writing code or translating Japanese into Greek. But since they're typically trained with a wide spectrum of knowledge for broad applications, they may not be the right fit for specific tasks, like nonplayer character dialog generation in a video game. In contrast, small language models balance need with reduced size, maintaining accuracy while running locally on more devices.
In the session "Watch Your Language: Create Small Language Models That Run On-Device," Oluwatobi Olabiyi, senior engineering manager at NVIDIA, will present tools and techniques that developers and enthusiasts can use to generate, curate and distill a dataset—then train a small language model that can perform tasks designed for it.
Advancing Local AI Development
Building, testing and deploying AI models on local infrastructure ensures security and performance even without a connection to cloud-based services. Accelerated with NVIDIA RTX GPUs, Z by HP's AI solutions provide the tools needed to develop AI on premises while maintaining control over data and IP.
Learn more by attending the following sessions:
- Dell Pro Max and NVIDIA: Unleashing the Future of AI Development: This session introduces Dell Pro Max PCs, performance laptops and desktops for professionals, powered by NVIDIA RTX GPUs. Discover how this powerful duo can help jumpstart AI initiatives and transform the way AI developers, data scientists, creators and power users innovate.
- Develop and Observe Gen AI On-Prem With Z by HP GenAI Lab and AI Studio: This session demonstrates how Z by HP solutions simplify local model training and deployment, harnessing models in the NVIDIA NGC catalog and Galileo evaluation technology to refine generative AI projects securely and efficiently.
- Supercharge Gen AI Development With Z by HP GenAI Lab and AI Studio: This session explores how Z by HP's GenAI Lab and AI Studio enable on-premises LLM development while maintaining complete data security and control. Learn how these tools streamline the entire AI lifecycle, from experimentation to deployment, while integrating models available in the NVIDIA NGC catalog for collaboration and workflow efficiency.
Attend GTC 2025
From the keynote by NVIDIA founder and CEO Jensen Huang to over 1,000 inspiring sessions, 300+ exhibits, technical hands-on training and tons of unique networking events—GTC is set to put a spotlight on AI and all its benefits.
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