MSI Showcases Advanced Artificial Intelligence Solutions with NVIDIA MGX and DGX at COMPUTEX 2025

MSI debuts enterprise-ready Artificial Intelligence solutions built on NVIDIA MGX and DGX Station platforms at COMPUTEX 2025, promising robust scalability and next-level computing for data centers.

At COMPUTEX 2025, MSI introduced its latest Artificial Intelligence solutions leveraging NVIDIA´s MGX and DGX Station reference architectures, targeting the converging needs of enterprise Artificial Intelligence, high-performance computing (HPC), and accelerated workloads. The new offerings, unveiled at booth J0506 during the tradeshow, aim to provide enterprises and cloud data centers with modular, scalable building blocks capable of meeting rapid advances in Artificial Intelligence adoption and computational complexity.

According to Danny Hsu, General Manager of Enterprise Platform Solutions at MSI, the surging adoption of Artificial Intelligence is fundamentally reshaping enterprise data centers. Hsu emphasized that traditional server options are struggling to keep pace due to the explosive growth of generative Artificial Intelligence and increasingly diverse workload demands. MSI´s new solutions, built on NVIDIA MGX and DGX Station technologies, offer scalability, flexibility, and high performance, presenting organizations with tools to accelerate Artificial Intelligence innovation while ensuring long-term infrastructure viability.

The MSI platforms are specifically engineered to help future-proof enterprise systems against evolving Artificial Intelligence hardware and software standards, allowing for smooth integration of advanced capabilities as demands change. Through the partnership with NVIDIA, MSI delivers reference architecture-based systems designed for rapid deployment and optimized for both training and inference operations in modern Artificial Intelligence data centers. Adopting these solutions, organizations can expect a robust environment that accommodates expansion, supports emerging workloads, and sustains the momentum of Artificial Intelligence initiatives as business needs evolve.

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Key large language model papers from October 13 to 18

A roundup of notable large language model research from the third week of October 2025, spanning generative modeling, multimodal embeddings, and evaluation. Highlights include a diffusion transformer built on representation autoencoders and a language-centric scaling law for embeddings.

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