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Feb. 26, 2025, 4:34 p.m.
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GTC 2025: Advancements in Generative AI and RTX Technology

Brief news summary

Generative AI is transforming the landscape of computing, especially in enhancing the development of AI models on personal computers. This advancement significantly boosts productivity across fields like content creation, language processing, and software engineering. The upcoming GTC 2025 conference, taking place from March 17-21 in San Jose, will convene industry leaders to discuss the deployment of local AI, model optimization, and cutting-edge hardware, particularly focusing on RTX AI PCs. Central to this evolution are RTX GPUs equipped with Tensor Cores, essential for advanced applications such as chatbots and multimedia production. Prominent speakers include NVIDIA's Annamalai Chockalingam, who will address AI development tools, and Oluwatobi Olabiyi, who will delve into specialized small language models. The conference will cover topics such as optimizing AI workloads on Windows workstations and presenting secure local AI solutions from Z by HP and Dell, aimed at reducing dependency on cloud services. Additionally, NVIDIA will introduce NIM microservices, allowing developers to leverage customized generative AI models. With over 1,000 sessions and exhibits, GTC 2025 offers a comprehensive look into the latest developments in AI and their applications across various industries.

Generative AI is revolutionizing computing by introducing innovative methods to build, train, and optimize AI models on PCs and workstations. This technology enhances productivity across various applications, including content creation, software development, and language modeling. At GTC 2025, taking place from March 17–21 at the San Jose Convention Center, AI experts will discuss local AI deployment, model optimization, and the use of advanced hardware and software to improve AI workloads, with a special focus on the latest advancements in RTX AI PCs and workstations. **Develop on RTX** RTX GPUs, equipped with Tensor Cores for superior compute performance, empower developers to create digital humans, chatbots, and AI podcasts. With over 100 million GeForce RTX and NVIDIA RTX GPU users, a significant market exists for new AI applications. Annamalai Chockalingam from NVIDIA will showcase tools that facilitate rapid development of AI-driven applications in the session titled "Build Digital Humans, Chatbots, and AI-Generated Podcasts for RTX PCs and Workstations. " **Model Behavior** Large language models (LLMs) support diverse applications but may not excel in specialized tasks, unlike smaller language models that provide targeted efficiency.

Oluwatobi Olabiyi from NVIDIA will present methods for developing small language models designed for specific tasks in the session “Watch Your Language: Create Small Language Models That Run On-Device. ” **Maximizing AI Performance on Windows Workstations** Optimizing AI on Windows workstations requires tailored software and hardware strategies due to varied configurations. The session “Optimizing AI Workloads on Windows Workstations: Strategies and Best Practices” will cover techniques like model quantization and hardware-aware tuning to enhance AI performance across different processing units. **Advancing Local AI Development** Developing AI models locally increases security and performance. NVIDIA RTX GPUs and Z by HP’s AI solutions present tools for on-premises development. Attendees can explore sessions like: - **Dell Pro Max and NVIDIA: Unleashing the Future of AI Development**, highlighting powerful setups for professionals. - **Develop and Observe Gen AI On-Prem** with insights into local model training and deployment using NVIDIA resources. - **Supercharge Gen AI Development** discussing secure LLM development with Z by HP tools. NVIDIA's NIM microservices, featuring optimized models like Llama 3. 1 LLM and YOLOX, will also be available for developers looking to start on RTX platforms. **Attend GTC 2025** GTC 2025 promises a wealth of knowledge through keynote sessions, over 1, 000 presentations, 300+ exhibits, and ample networking opportunities, emphasizing the vast potential of AI technology.


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