ADLINK Unveils NVIDIA Thor-Powered Edge AI Platforms

[Ahmet Ö.]

## ADLINK Introduces NVIDIA Thor-Powered Edge AI Platforms

ADLINK Technology has launched its next-generation Edge AI platforms, offering high-performance and reliable local artificial intelligence solutions for industrial automation, medical imaging, and robotics.

These new DLAP Edge AI platforms are powered by NVIDIA IGX Thor and NVIDIA Jetson Thor chips, designed to run real-time "physical AI" workloads in complex and challenging environments.

### Platform Series and Application Areas

• DLAP-IGX Series: Enterprise-grade structure, based on NVIDIA IGX T7000 and equipped with NVIDIA RTX PRO 5000 Blackwell GPU. It provides deterministic performance and functional safety in industrial environments, offering multi-model processing capability.
• DLAP-700 Series: Consists of compact devices designed for smaller, distributed applications. Used in general-purpose and high-bandwidth applications such as medical imaging.
• DLAP-711 Model: Optimized for robotic applications, humanoid robots, autonomous mobile robots (AMR), and visual perception systems.

### DLAP-IGX Series Technical Specifications

• Processor Platform: NVIDIA IGX T7000
• GPU: NVIDIA RTX PRO 5000 Blackwell
• Performance: 4293 TFLOPS (FP4 sparse)
• Functional Safety: Dedicated in-system safety island, safety microcontroller on carrier board, board management controller for remote monitoring
• Connectivity: NVIDIA ConnectX-7 SmartNIC, dual 200 GbE ports

### DLAP-700 Series Technical Specifications

• Modules: NVIDIA Jetson T5000 or T4000
• AI Performance: 2070 TFLOPS (FP4)
• Processor: 14-core ARM Neoverse-V3AE CPU
• Memory: Supports 128 GB LPDDR5X
• Dimensions: 211 mm × 194 mm × 94 mm
• Operating Temperature: -10°C to 35°C

### DLAP-711 Model Features

• Durability: -20°C to 65°C operating range
• Connectivity: 4 Gigabit Ethernet ports, additional LAN interfaces, high-speed QSFP connection
• Dimensions: 224 mm × 124 mm × 85 mm

### Edge AI and High Performance

The new platforms provide 8 times higher performance in integrated GPUs and 2.5 times higher performance in discrete GPUs compared to previous NVIDIA IGX Orin-based systems. This allows complex AI workloads to be processed in real-time directly on the device, reducing latency.

### Industrial and Medical Use

These platforms have been developed for use in applications requiring real-time decision-making and high reliability, such as robotic automation, medical diagnostics, and autonomous systems. Functional safety and robust design enable the effective implementation of artificial intelligence in critical areas where traditional systems fall short.

This development supports the widespread adoption of the edge AI processing approach across industries, where data is analyzed locally rather than in the cloud, increasing rapid response and operational continuity.