insight

The Taiwanese medical AI company aetherAI is a leader in digital pathology and a global trendsetter in the challenging fields of AI-aided endoscopy and hematology. GIGABYTE and its subsidiary GIGAIPC, which specializes in industrial PC products for edge AI and physical AI, supplied the mini-PC platforms that aetherAI uses to host software for polyp detection in colonoscopy and bone marrow smear analysis. GIGABYTE’s customizable edge AI solution features a powerful built-in AI inference engine, seamless IT infrastructure integration through flexible connectivity, and low-latency on-prem computing that ensures privacy and security. GIGABYTE is the smart choice for medical AI pioneers seeking to usher in a new age of smart health.

Why X3D performance starts with the motherboard. Learn how power delivery, BIOS tuning, and platform design shape real-world X3D gaming results.

X3D Turbo Mode 2.0 introduces a platform-level performance approach designed for AMD X3D processors—moving beyond traditional overclocking to unlock smarter, more sustainable performance for gaming and heavy workloads.

Ushering in a New Era of Quantum and Supercomputing Integration

AI BOX GPU Selector lets users assign apps to internal or external GPUs with drag-and-drop control. Optimized for AORUS AI BOX eGPU, generative AI tools, and multi-GPU laptops.

Agentic AI, a new type of AI capable of understanding general instructions, making complex, context-based decisions, and directing a network of gen AI models to execute plans, is the logical follow-up to generative AI. Investment is already pouring into this higher rung on AI’s evolutionary ladder; automation, business, and healthcare will be among the first sectors to profit. GIGABYTE has identified a critical early step in adopting agentic AI: establishing your AI infrastructure. We offer a solution portfolio that will keep you on top of the next AI wave.

In an era where the scale of AI models is rapidly expanding and data generation is unprecedented, enterprise IT infrastructure faces a significant challenge. Traditional centralized architectures, which focus on single-node computing power, are struggling to cope with the massive and diverse data flowing from the cloud, the edge, and endpoints. Consequently, the role of data is being redefined. It is no longer just a computational aid, but the core asset driving decision-making, innovation, and operational efficiency. Enterprises that fail to upgrade their infrastructure accordingly will face challenges such as data processing bottlenecks, performance degradation, and increased energy consumption, driving up their Total Cost of Ownership (TCO). Facing this strategic turning point, the shift from a "Compute-Centric" to a "Data-Centric" approach is not merely a technical upgrade; it is a critical strategy for enterprise transformation in this new “AI” generation. The 2025 HPC conference, SC25, features the theme "HPC Ignites" and highlights "Data-Intensive Science," clearly reflecting this data-driven change: HPC is no longer confined to science and research, but is accelerating its penetration into the enterprise core and becoming the decisive force in the AI competition.