DELOCK PCI Express x4 Hailo-8 AI Processor 31415 — scheda acceleratore AI PCIe x4

DELOCK PCI Express x4 Hailo-8 AI Processor 31415 — PCIe x4 AI accelerator card is a dedicated inference accelerator that installs in a PCI Express x4 slot to speed up neural network inference. Based on the Hailo-8 architecture, the card is designed to deliver higher throughput and lower latency for edge, embedded and server systems performing computer vision, analytics and other AI-based tasks. The compact PCIe card form factor allows integration into industrial PCs, servers and edge appliances where additional AI processing capability is required without changing the main system architecture.

Advantages

The PCIe x4 interface provides a balance of bandwidth and compatibility for many host systems while keeping slot and power requirements moderate. Hardware acceleration reduces CPU load by offloading neural network inference to a specialized processor, improving overall system responsiveness for real-time and near-real-time applications. The device is suitable for continuous inference workloads and can improve throughput in multi-camera vision systems and analytics pipelines. The card’s design focuses on efficient execution of convolutional neural networks and other common inference models.

Suitable for

• Edge AI inference for vision systems
• Industrial inspection and automation analytics
• Smart cameras and multi-camera processing
• Embedded servers and appliances requiring accelerated neural inference

Key specifications

• Interface: PCI Express x4
• Processor family: Hailo-8 neural inference architecture
• Primary purpose: neural network inference acceleration
• Form factor: low-profile PCIe card suitable for standard desktop and server slots
• Target environments: edge, embedded and server systems

How to use

Install the card into an available PCI Express x4 (or compatible x8/x16) slot on a powered-off host system following the host manufacturer’s guidelines. Secure the card in the chassis, connect any required power or auxiliary connectors if applicable, and boot the host. Install the vendor-provided drivers and runtime libraries that enable the host to offload inference tasks to the Hailo-8 processor. Deploy neural network models using the supported toolchain and convert models as required to the format accepted by the accelerator. Monitor performance and resource usage through the supplied software utilities.

Recommendations

Place the card in a slot with adequate airflow and ensure the host power supply meets the card’s requirements. For best inference performance, prepare and optimize models using the recommended toolchain, and distribute workloads to avoid thermal throttling. Verify compatibility with the operating system and configure drivers and firmware updates according to DELOCK and Hailo guidance.