Specifications

Model

Axelera Edge 130p

Vendor

Axelera AI

AIPU

1x Metis AI Processing Unit

Peak Performance

214 TOPS (INT8)

System Memory

16 GB

Form Factor

PCIe single slot, HHHL (half height, half length)

Host Interface

PCIe Gen3 x4 - 4 GB/s bidirectional

Operating Temperature

-20 C to +70 C

Workload Capability

Dozens of camera streams per board; multiple parallel neural networks

Software

Axelera Voyager SDK

Model Support

Wide range of end-to-end AI pipelines and models available out of the box

Quantization

Advanced quantization tools for prediction accuracy

Bracket

Full-height bracket fitted; spare low-profile (half-height) bracket included

Integration Docs

Datasheets, thermal design guide, regulatory certifications and reference designs

Target

Edge AI inference for computer vision pipelines

Overview

The Axelera Edge 130p is a single-slot half-height half-length PCIe card built around one Metis AI Processing Unit. It delivers 214 TOPS of INT8 inference - the highest performance AI accelerator class in Axelera's edge line - while running from a PCIe Gen3 x4 host link that consumes only 4 GB/s of bidirectional bandwidth, which lets it slot into modest edge servers and industrial systems rather than requiring a full GPU host.

The card is rated for -20 C to +70 C operation, making it suitable for industrial and outdoor-adjacent deployments where a data-centre GPU would need environmental protection. Software integration is through the Axelera Voyager SDK, with quantization tooling intended to preserve prediction accuracy. A single board can run inference for dozens of cameras and host multiple parallel neural networks.

Key Benefits

High density per slot. 214 TOPS from one Metis AIPU in a half-height half-length single slot. Industrial temperature range. -20 C to +70 C operation suits embedded and industrial edge enclosures. Light host link. PCIe Gen3 x4 (4 GB/s bidirectional) keeps host requirements low. Faster deployment. Voyager SDK, out-of-the-box pipelines and published datasheets and reference designs shorten integration.

Applications

Edge computer vision, smart city and traffic analytics, industrial inspection, retail analytics, multi-camera video inference, and ruggedised edge servers.

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