Introduction

What Is Rec SDK

Product Background

As artificial intelligence (AI) technology evolves, industries such as e-commerce, long- and short-form video, and social media increasingly demand effective search, recommendation, and advertising (SRA) systems. The rapid growth of the Internet has led to a massive increase in user data, product information, and video content, underscoring the importance of effective SRA systems. The growing demand for such systems inevitably increases the need for computing power. A primary focus for practitioners is how to deploy more computing power and fully utilize its potential.

Definition

Rec SDK offers an SDK for search, recommendation, and advertising services in the Internet market. It offers a framework for these services based on the Ascend platform to meet related model training requirements, thus supporting large-scale SRA scenarios and facilitating efficient training of models for such scenarios.

Product Value

Table 1 Product value

Product Feature	Product Value
Ease of use	Build algorithm models quickly using minimalist APIs.
Accuracy	Achieve less than 0.01% accuracy error in standard model verification.
Performance	Maximize performance with efficient multi-level pipeline acceleration, high-speed collective communication, and extreme optimization.