End-to-end integrated software stack
The VoyagerTM SDK is purpose-built for Computer Vision at the Edge and enables customers to solve their AI business requirements by effortlessly deploying AI on edge devices. Customers use the SDK to bring their applications into the Metis AI platform and run it on Axelera's powerful Metis AI Processing Unit (AIPU), whether the application is developed using proprietary or standard industry models. The Voyager™ SDK offers end-to-end integration and is API-compatible with de-facto industry standards, unleashing the potential of the Metis AIPU, delivering high-performance AI that can be deployed quickly and easily.
Voyager SDK is available for download on Github.
Optimized deployment
The VoyagerTM SDK makes it easy to build high-performance applications for edgedevices. Developers describe their end-to-end application pipelines in a simple human-readable high-level declarative language YAML. Included in the YAML description can be one or more neural networks with their corresponding pre & post-processing tasks, which can contian sophisticated image processing operations. The SDK automatically compiles, optimizes and deploys the entire pipeline, making use of host processors (CPU, embedded GPU or media accelerator) and AIPU as required. The Voyager™ SDK supports a wide range of host architectures and platforms to meet the requirements of diverse Edge application environments. In addition, the SDK can flexibly embed a pipeline into an inference service to obtain a variety of preconfigured, out-of-the-box solutions, ranging from fully embedded use cases, to distributed processing of multiple 4K streams.
