COMPUTEX 2026 Highlights: JWIPC Showcases Local AI and Next-Generation Computing
By:
PRLog
June 24, 2026 at 10:18 AM EDT
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A major highlight was our OpenClaw local AI solution lineup, purpose-built for private AI deployment, local large language model (LLM) inference, and enterprise AI applications.featuring the W144, W254, and W638 across Intel, AMD, and NVIDIA platforms. These three systems demonstrated how AI models and agent-based applications can be deployed locally to support responsive access, stronger data privacy, and more flexible platform choices. Designed for different performance and deployment requirements, the lineup enables customers to select the right hardware foundation for local inference, content creation, enterprise AI, and intelligent assistant applications.
The W638 AI workstation attracted particular attention during the exhibition. Built on the NVIDIA platform for demanding AI workloads, it supports the local deployment of large language models, multimodal applications, and AI agents.
One of the exhibition's most memorable moments occurred when NVIDIA CEO Jensen Huang signed the W638 workstation, highlighting the industry's increasing focus on local AI infrastructure and next-generation AI computing.
Beyond local AI, we displayed a broad range of next-generation computing products:
- Workstations
- Mobile computing (laptops)
- Compact computing (Mini PCs)
- Enterprise systems (All-in-one / desktops)
- Storage (NAS)
Together, the showcased products demonstrated our ability to provide flexible product design, multi-platform development, rapid customization, and large-scale production. Rather than offering a single device, we provide an integrated OEM and ODM foundation for brands developing local AI systems, AI PCs, professional workstations, compact computers, and storage products.
Following COMPUTEX 2026, JWIPC will continue working with global ecosystem partners and customers to accelerate practical, scalable, and application-ready AI computing solutions.
Photos: (Click photo to enlarge)
Source: JWIPC Technology Co., Ltd.
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