industry news
Subscribe Now

Renesas Launches Cloud-Based Environment to Accelerate Automotive AI Software Development and Evaluation

AI Workbench Empowers a Shift-Left Approach to Software Development and Decouples Software Design from Chip Availability
TOKYO, Japan, December 14, 2023 ― Renesas Electronics Corporation (TSE:6723), a premier supplier of advanced semiconductor solutions, today launched a new cloud-based development environment aimed at streamlining the software design process for automotive AI engineers. The new platform, AI Workbench, is an integrated virtual development environment that empowers automotive AI engineers to design, simulate and fine-tune their automotive software – all within the cloud.
With this environment, engineers can immediately begin designing automotive software by leveraging Microsoft Azure services including Azure Compute, IaaS services, Microsoft Entra ID and Azure Security. Instead of installing tools on a PC or obtaining an evaluation board, they can perform tasks such as performance evaluation, debugging and verification using simulation tools online. This approach aligns with the “Shift-Left” approach, which enables software creation and testing earlier in the design cycle, even before the actual hardware becomes available. For example, it is possible to start developing AI-enabled application software to support ADAS (Advanced Driver Assistance System) and autonomous driving for the upcoming fifth-generation R-Car System on Chip (SoC) prior to the availability of hardware samples. This environment will serve as a unified development platform for designing and testing Renesas’ scalable automotive SoCs and microcontrollers (MCUs), regardless of product type or application.
“We are thrilled to introduce a cloud-based virtual development and AI model performance testing environment for automotive AI engineers in collaboration with Microsoft, a leading cloud technology provider,” said Mandali Khalesi, Global VP, HPC AI and Cloud Technology at Renesas. “We are committed to improving the AI development environment through new features such as continuous monitoring and analysis of software usage.”
“Cloud-based development is a secure and cost-effective method to address the increasing complexities of today’s embedded projects. The collaboration between Renesas and Microsoft aims to tackle this challenge and accelerate the digital transformation of the automotive industry,” said Ulrich Homann, Corporate Vice President & Distinguished Architect, Cloud + AI, Microsoft. “With Renesas’ AI Workbench, developers can now efficiently build and test software for a myriad of applications using Renesas SoCs in a cloud-based environment powered by Azure.”
The AI Workbench includes the following four functional blocks today. Renesas plans to enhance its offering in the future with additional features such as selected functionality or customization options tailored to support various development processes.
1.    Upgraded AI Compiler Toolchain
Renesas will upgrade its SoC AI compiler toolchain with a novel “Hybrid Compiler (HyCo)” architecture and make it available through the AI Workbench. The new HyCo architecture developed in house and kernel libraries will allow engineers to unlock broader AI model and ONNX operator coverage, beyond the coverage of existing-third party hardware accelerator compilers available on Renesas SoC such as DSPs and NPUs.
2.    AI Model Performance Testing Environment
Renesas will provide NNPerf, an online test environment for developers to evaluate the performance of AI models running on live Renesas SoCs with an updated hybrid AI compiler. Testing will run on real hardware in Renesas’ global device farm, without the need for evaluation boards. With the ability to batch code programs, perform real-time inference tests, and compare performance across different AI models, application engineers can estimate and make decisions on tradeoffs between models, memory footprints, latency and more.
3.    Software Development Environment
Microsoft’s code editor, Visual Studio Code (VSCode) and a software development kit (SDK) from Renesas are both available in the cloud. Using the tool suite, developers can launch their development environment in the cloud in a matter of minutes. Developers can customize their independent development environment and perform all design work using just a web browser on their PC.
4.    Software Evaluation/Verification Environment
Renesas will also provide an environment for developers to test and verify their application software using the AI models defined in the AI model performance testing tool NNPerf. This includes simulators such as SILS (Software in the Loop Simulator), and HILS (Hardware in the Loop Simulator), allowing users to verify the operation designed for their specific AI application.
Availability
The AI Workbench will be available in January 2024 in limited preview. Renesas plans to expand availability of the AI Workbench from Q2 2024 and build similar environments for other major cloud services in the future. Additionally, Renesas will consider integrating tools provided by partners of the R-Car Consortium into the cloud environment for improved efficiency. More information about the AI Workbench is available at: renesas.com/ai-workbench.
About Renesas Electronics Corporation
Renesas Electronics Corporation (TSE: 6723) empowers a safer, smarter and more sustainable future where technology helps make our lives easier. The leading global provider of microcontrollers, Renesas combines our expertise in embedded processing, analog, power and connectivity to deliver complete semiconductor solutions. These Winning Combinations accelerate time to market for automotive, industrial, infrastructure and IoT applications, enabling billions of connected, intelligent devices that enhance the way people work and live. Learn more at renesas.com. Follow us on LinkedInFacebookXYouTube and Instagram.

Leave a Reply

featured blogs
Nov 22, 2024
We're providing every session and keynote from Works With 2024 on-demand. It's the only place wireless IoT developers can access hands-on training for free....
Nov 22, 2024
I just saw a video on YouTube'”it's a few very funny minutes from a show by an engineer who transitioned into being a comedian...

featured video

Introducing FPGAi – Innovations Unlocked by AI-enabled FPGAs

Sponsored by Intel

Altera Innovators Day presentation by Ilya Ganusov showing the advantages of FPGAs for implementing AI-based Systems. See additional videos on AI and other Altera Innovators Day in Altera’s YouTube channel playlists.

Learn more about FPGAs for Artificial Intelligence here

featured paper

Quantized Neural Networks for FPGA Inference

Sponsored by Intel

Implementing a low precision network in FPGA hardware for efficient inferencing provides numerous advantages when it comes to meeting demanding specifications. The increased flexibility allows optimization of throughput, overall power consumption, resource usage, device size, TOPs/watt, and deterministic latency. These are important benefits where scaling and efficiency are inherent requirements of the application.

Click to read more

featured chalk talk

SLM Silicon.da Introduction
Sponsored by Synopsys
In this episode of Chalk Talk, Amelia Dalton and Guy Cortez from Synopsys investigate how Synopsys’ Silicon.da platform can increase engineering productivity and silicon efficiency while providing the tool scalability needed for today’s semiconductor designs. They also walk through the steps involved in a SLM workflow and examine how this open and extensible platform can help you avoid pitfalls in each step of your next IC design.
Dec 6, 2023
59,616 views