From Desk-Side to Data Center: Leadtek Showcases On-Prem Agentic AI Computing Strategy at COMPUTEX 2026
INSIDE 硬塞 AI4 days agoHardwareThe article says enterprise AI adoption is entering a new phase as security concerns, cloud latency, and model changes push compute needs on premises. At COMPUTEX 2026, Leadtek presented an AI compute spectrum from factory edge environments to data centers. The focus is helping companies keep tighter control over agentic AI secrets and inference responsiveness.
NXP Computex 2026 Keynote: Neural Axis for Physical AI Hardware
INSIDE 硬塞 AI11 days agoHardwareAt Computex 2026, NXP focused on Physical AI and introduced its Neural Axis architecture for edge devices. The architecture emphasizes low latency, high security, and hardware-based trust for real-time responses. The article frames this as important for robotics, autonomous vehicles, and other physical-world AI deployments where safe operation is essential.
Microsoft Build 2026 unveils MAI-Thinking-1, Scout, and Project Solara★ 76
INSIDE 硬塞 AI11 days agoReleaseAt Build 2026, Microsoft introduced an agent-first architecture that combines software and hardware into a broader AI platform. The announcement includes a unified Copilot app, self-developed MAI models, the persistent Scout agent, and the Project Solara device platform. The move frames AI agents as an end-to-end execution layer running from cloud services to user devices.
Nvidia chases $200B CPU market with AI agent PCs from Microsoft, Dell, and HP
TechCrunch AI12 days agoHardwareNvidia is pursuing the $200 billion CPU market through AI agent PCs associated with Microsoft, Dell, and HP. The potential impact depends on whether AI agents can reach mainstream users in a simple, safe, and useful way. The provided excerpt does not specify hardware models, pricing, release dates, or performance details.
Business Owners, Do You Really Know How to Use AI?
INSIDE 硬塞 AI18 days agoOpinionThe article argues that many companies use AI mainly to improve efficiency, without creating meaningful revenue or strategic advantage. It proposes distributed AI, placing intelligence closer to where data is generated to reduce latency and support faster decisions. The key message is that firms should balance centralized and distributed architectures to strengthen competitiveness while preserving greater control over data and digital sovereignty.