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On August 14, 2026, Universitas Gadjah Mada (UGM), Indosat Ooredoo Hutchison (IOH), and NVIDIA launched Indonesia’s first university-based AI technology center, the UGM Indosat NVIDIA AI Technology Center (NVAITC), aimed at developing local AI talent through world-class infrastructure and educationa

This article provides an in-depth analysis of Apple's M4 Max chip's performance in local AI computing, particularly when compared to NVIDIA's GB10 and AMD's Strix Halo platforms. The tests reveal that the M4 Max outperforms these systems in decoding throughput, especially in large language model (LL

This article explores the feasibility of building high-performance AI computing clusters in local environments, particularly through the use of Dell Pro Max GB10 systems with NVIDIA Grace Blackwell GPUs. While individual local systems are constrained by memory capacity and hardware costs, clustering

Bloomberg's latest survey reveals that Chinese tech companies are gradually reducing dependence on international AI suppliers,转向 supporting domestic AI chip providers. This trend reflects China's strategic intent to pursue technological sovereignty and supply chain security in the artificial intelli

According to a Bloomberg Intelligence survey, Chinese companies are increasingly shifting away from Nvidia's advanced AI accelerators toward domestic semiconductor solutions, reflecting the impact of intensifying US-China tech rivalry and China's push for technological self-reliance. The survey foun

AMD's latest local AI server solution, the Lemonade SDK version 10.7, introduces support for NVIDIA CUDA, marking a significant step toward cross-platform compatibility. Originally designed to work across AMD CPUs, GPUs, and NPUs, the SDK now also supports NVIDIA's ecosystem, enabling a consistent l

NVIDIA has optimized Google DeepMind's experimental open model, DiffusionGemma, to accelerate local AI text generation. Unlike traditional autoregressive models that process tokens sequentially, DiffusionGemma generates multiple tokens in parallel using a diffusion approach, significantly reducing l

At Computex 2026, NVIDIA unveiled new capabilities for running autonomous AI agents locally, addressing the growing demand for long-running, context-aware AI systems that operate without cloud dependency. With increasing concerns over security and privacy, local deployment is gaining traction. NVIDI

At the 2026 Computex trade show in Taipei, NVIDIA CEO Jensen Huang reiterated his company's ambitious roadmap for AI infrastructure, from Blackwell to Vera Rubin and beyond. While numerous product announcements were made, including the Vera Rubin chip in full production, autonomous driving tech for