Name: RoX AI Studio
Brand: Renesas Electronics Corporation
SKU: RoX AI Studio

Overview

With RoX AI Studio, you can remotely benchmark and evaluate your AI models on Renesas R-Car SoCs within your internet browser all while leveraging a secure MLOps infrastructure that puts your engineering team in the fast lane toward production-ready solutions.

This platform is a cornerstone of the Renesas Open Access (RoX) Software-Defined Vehicle (SDV) platform, offering an integrated suite of hardware, software, and infrastructure for customers designing state-of-the-art automotive systems powered by AI. We're dedicated to empowering products with advanced intelligence, high-performance, and an accelerated product lifecycle. RoX AI Studio enables you to unlock the full potential of next-generation vehicles by embracing a shift-left approach.

The RoX AI Studio Web UI serves as a web-native graphical user interface that streamlines management and benchmarking/evaluation of AI models on Renesas R-Car SoC hardware.

Launch RoX AI Studio

Components of RoX AI Studio are UX (web UI and API), MLOps (workflows and Hybrid Compiler (HyCo) toolchain), and infrastructure (MLOps cloud and MLOps device farm).

User Experience (UX) with Web UI and API
- Through this front-end product, users can register new AI models, configure hardware-in-the-loop (HIL) inference experiments, and conduct benchmarking and performance evaluations of their models, all within a browser environment.
- The API bridges the Web UI with MLOps backend, facilitating robust communication and data exchange. It is designed to ensure high performance and strong security.
- The API consists of a broad set of endpoints that collectively enable a wide range of functions, including user management, model operations, dataset management, experiment orchestration, and HIL model benchmarking/evaluation.
MLOps with Workflows and HyCo Toolchain
- The API endpoints in RoX AI Studio are underpinned by robust MLOps business logic, which ensures reliable execution for every incoming API request. Each experiment initiated through the platform follows a systematic and predefined sequence of steps. These steps are organized as Directed Acyclic Graphs (DAGs) and orchestrated using Apache Airflow, a proven workflow management tool
- Apache Airflow manages the queuing, scheduling, and concurrency of experiment tasks automatically, allowing the system to efficiently handle multiple simultaneous user requests with finite computational resources on the cloud.
- Moreover, this approach promotes more granular product development for each microservice. By supporting out-of-the-box (OOB) execution for individual components, RoX AI Studio enables rapid iteration and targeted enhancements, aligning with evolving platform requirements and user needs.