ASUS at IFA 2026: Advancing AI-Powered Creativity with ProArt and NVIDIA RTX Spark
ASUS introduced AI-powered ProArt PCs at IFA 2026, showcasing locally run AI workflows for creators using NVIDIA’s RTX Spark platform and collaborations with Google and Adobe.
ASUS hosted its first global media event at IFA 2026 in Berlin, focusing on AI agents and real-world workflows running on ProArt PCs. The showcase included hands-on demonstrations and a keynote highlighting how locally executed AI can streamline creative processes from ideation to asset management. Attendees experienced connected workflows spanning content generation, editing, and production, emphasizing flexibility and privacy. The event positioned AI not as isolated features but as integrated tools within creative pipelines.
ASUS unveiled new ProArt devices powered by NVIDIA’s RTX Spark platform, enabling advanced AI models to run locally on both mobile and desktop systems. The lineup accelerates creative applications across video production, design, and 3D workflows, allowing creators to generate content faster and manage complex projects on the go. The keynote emphasized how these systems support AI-assisted workflows while maintaining user control over data and resources.
Seven interactive zones at the ASUS IFA Media Showroom demonstrated practical AI applications across creative workflows. Rather than showcasing standalone AI tools, ASUS illustrated how connected experiences—from ideation to production—can operate efficiently on ProArt PCs. The setup highlighted the balance between local AI performance and cloud-based services, particularly through partnerships with Google and Adobe.
ASUS Director Sascha Krohn discussed the shift from passive software tools to active AI agents capable of planning, reasoning, and collaborating across workflows. He noted that advanced AI agents require greater computing resources, including larger memory and powerful local AI performance. ASUS’s new ProArt lineup addresses these demands by delivering solutions tailored for local AI workloads and agentic experiences.