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NVIDIA GTC 2025 - Building LLM-Powered Applications

Eugene Yan 18 March 2025, 00:00

Ziyou Yan participated in a panel discussion at NVIDIA GTC 2025 about building applications with large language models. The panel recording became available on the NVIDIA GTC attendee portal in March 2025 and will be released publicly through NVIDIA On-Demand. The discussion shared insights and lessons learned from developing LLM-powered applications.

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Chip Huyen and I share what we've learned, best practices, and insights at NVIDIA GTC 2025.

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TLDRocket 21 July 2026

The open-weight AI model market hit an inflection point today as Alibaba and Kimi released trillion-parameter competitors that challenge the closed-model orthodoxy—just as Washington moved to restrict them. Alibaba's Qwen 3.8 Max (2.4 trillion parameters) and Kimi K3 (2.8T) are going open-weight, with K3 ranking first on Frontend Web App Arena and fourth on agentic benchmarks, signaling that scale and transparency can coexist. The timing matters: while U.S. policymakers weigh layered restrictions on Chinese open models, technical experts are pushing back hard, arguing that closed gardens actually hurt security and competition more than they help. The real fragmentation risk isn't technical—it's regulatory.

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NVIDIA GTC 2025 - Building LLM-Powered Applications

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