Durabook unveils the Z14I-HG, a 14-inch fully rugged mobile workstation powered by Intel Core Ultra processors with AI Boost NPU and NVIDIA RTX Ada GPUs, delivering up to 682 TOPS of AI performance for edge computing.

The system can be equipped with NVIDIA RTX 3500 Ada or optional RTX 5000 Ada GPUs, offering up to 9,728 CUDA cores, 16GB GDDR6 memory, and memory bandwidth up to 576 GB/s for demanding workloads and full GPU-driven display output.

With support for up to 16GB GDDR6 memory and the high CUDA core count, the Z14I-HG enables real-time 3D rendering, AI inference, computer vision, digital twins, and large-scale data analytics in the field.

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Fred Kao, CEO of Twinhead International, describes the device as a cutting-edge solution for defence, geospatial, utilities, automation, and smart manufacturing scenarios.

Durabook’s CEO Fred Kao emphasizes the product’s AI capabilities and its suitability for professionals in defence, geospatial, AI-powered surveillance, utilities, smart manufacturing, and field engineering.

The company notes the Z14I-HG’s advanced technology and AI features, targeting professionals in defence, geospatial, utilities, smart manufacturing, and engineering sectors.

Target applications include real-time 3D rendering, AI inference, computer vision, digital twin simulation, AI-powered inspection, geospatial analysis, and field command and operations.

Security and storage include dual removable NVMe SSDs, a modular media bay for an optical drive or extra battery/drive, TPM 2.0, Intel vPro, Windows 11 Secured-core PC, and a 5.0 MP IR camera for Windows Hello, with optional fingerprint.

Storage is flexible with dual removable NVMe PCIe SSDs and a modular media bay; quick-release drives enable rapid field maintenance.

Manageability features include TPM 2.0, Intel vPro, Windows 11 Secured-core PC, optional fingerprint, and modular storage bays for rapid field swaps.

The Z14I-HG is designed for defence, industrial automation, field engineering, AI-powered inspection, and geospatial work, prioritizing on-site AI, low latency, and data security without relying on cloud.