
Palit Showcases Pandora NXNano with 157 AI TOPS at Computex 2025
At Computex 2025, Palit showed off its latest Pandora NXNano mini PC, bringing the power of NVIDIA Jetson Orin NX Super to a truly pocket-sized AI platform. At its heart sits an eight-core Arm Cortex-A78AE CPU paired with a 1,024-core Ampere-architecture GPU (32 Tensor Cores), delivering up to 157 TOPS of sparse AI throughput and 78 TOPS dense performance. Up to 16 GB of LPDDR5 memory (102.4 GB/s bandwidth) and a pre-installed 128 GB PCIe Gen 4 SSD ensure both data-intensive models and large datasets run smoothly. Connectivity is generous: dual 10/100/1000 Mb Ethernet, two USB 3.2 Gen 2 Type-A ports, a USB 3.2 Gen 2 Type-C OTG port, plus USB 2.0 and HDMI 2.0 outputs. Four M.2 slots (for storage, Wi-Fi, 5G/LTE or video-capture cards), an 8-lane MIPI CSI-2 camera interface, and headers for I²C, SPI, UART, GPIO, and CAN Bus round out a very flexible I/O package.
Housed in a sleek 145×123 ×66 mm chassis, the NXNano balances performance and thermals with "superior thermal design" that includes two 50 mm high-efficiency fans, ensuring sustained workloads remain cool even under heavy AI inference. Removable base and side panels allow easy customization, whether adding 3D-printed shells or extra modules. The rugged aluminium frame accommodates DC input from 12 to 36 V. At just 470 g, this DIY-friendly unit is ideal for edge deployments in retail, digital signage, robotics, and education, putting enterprise-grade AI in a truly compact form factor.
Housed in a sleek 145×123 ×66 mm chassis, the NXNano balances performance and thermals with "superior thermal design" that includes two 50 mm high-efficiency fans, ensuring sustained workloads remain cool even under heavy AI inference. Removable base and side panels allow easy customization, whether adding 3D-printed shells or extra modules. The rugged aluminium frame accommodates DC input from 12 to 36 V. At just 470 g, this DIY-friendly unit is ideal for edge deployments in retail, digital signage, robotics, and education, putting enterprise-grade AI in a truly compact form factor.