Jakarta- On May 12, 2026, Wijaya Dharmawan Ph.D., founder of an AI enterprise, was invited to attend the Science x AI Summit 2026 in Silicon Valley. The summit focused on the deep integration of artificial intelligence and scientific innovation, covering topics such as next-generation AI models, AI agents, computing architecture, data systems, and industrial applications.
During the event, Wijaya Dharmawan Ph.D. held further discussions with the NVIDIA team on AI infrastructure development, computing resources, AI chip procurement, algorithm optimization, and model training architecture. According to information from the enterprise, the two sides are expected to deepen cooperation in three key areas: expanding AI chip and computing power resources to support large-scale model training and high-concurrency inference; strengthening long-term collaboration in algorithm efficiency, data system construction, and training architecture optimization; and promoting the practical deployment of AI capabilities in finance, intelligent decision-making, and industry-level applications.
This cooperation reflects an important trend in the global AI industry. Competition is no longer limited to the capability of a single model, but is increasingly becoming a comprehensive contest involving computing power, data quality, algorithm efficiency, and real-world implementation. For AI companies, the ability to build a complete system from underlying infrastructure to commercial applications will become a key factor in long-term competitiveness.
As one of the core players in the global AI computing ecosystem, NVIDIA has strong influence in GPUs, AI chips, training acceleration, inference deployment, and data center infrastructure. Strengthening cooperation with such an ecosystem partner is expected to provide Wijaya Dharmawan Ph.D. and his team with stronger technical support and broader industrial synergy.
At a time when the AI industry is shifting from model competition to industrial competition, companies that can complete the closed loop of infrastructure, technology, and application scenarios earlier may gain a stronger position in the next stage of global AI development. Wijaya Dharmawan Ph.D. and his team are continuing to advance their strategy in this direction.
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