Infineon Technologies Unveils AWS-Powered Cloud Platform for Automotive MCU Evaluation
Infineon Technologies, one of the world's leading semiconductor manufacturers, has taken a major step forward in automotive development tooling by introducing a cloud-based platform designed for the virtual evaluation of its automotive microcontroller units (MCUs). Built on Amazon Web Services (AWS), the platform is set to fundamentally change how engineering teams assess and integrate Infineon's automotive MCUs into their development workflows — eliminating many of the hardware dependencies and lengthy timelines that have historically slowed the process down.
What Is the Infineon Cloud-Based MCU Evaluation Platform?
At its core, the new platform allows customers to evaluate Infineon automotive MCUs entirely in the cloud, without the need for physical hardware. This is a significant departure from the traditional evaluation model, where engineering teams had to wait for evaluation boards to be shipped, set up local development environments, and navigate complex toolchain installations before they could begin meaningful testing.
By shifting the evaluation process to a browser-based interface, Infineon has effectively removed the barrier of local tool installation. The platform delivers a consistent workflow across operating systems, meaning that whether a developer is working on Windows, macOS, or Linux, the experience remains uniform and reliable. This level of standardisation is particularly valuable for distributed engineering teams operating across different infrastructure environments.
The platform is based on the Virtual Engineering Workbench, an AWS open-source offering that automotive and manufacturing customers already use for digital toolchains, hardware virtualisation, and infrastructure management. Leveraging this existing AWS framework gives the platform a robust, scalable foundation that benefits from Amazon's global cloud infrastructure.
Cutting Evaluation Time From Weeks to Minutes
One of the most compelling aspects of the new platform is its impact on speed. Traditional hardware-dependent MCU evaluation cycles could span multiple weeks — factoring in hardware procurement, environment setup, and debugging of toolchain issues unrelated to the MCU itself. With Infineon's cloud platform, that same process can now be completed in a matter of minutes.
This acceleration is not just a convenience; it has direct commercial implications. Faster evaluation cycles mean engineering teams can assess more MCU options within the same development window, enabling better-informed design decisions earlier in the product lifecycle. It also means that startups and smaller engineering teams with limited hardware budgets can now access Infineon's MCU portfolio on an equal footing with larger organisations.
The platform's use of isolated cloud environments ensures that each user can evaluate MCUs independently, without interference from other users' sessions. This isolation also supports security and data integrity — critical considerations for automotive customers working with proprietary system designs.
Two Evaluation Modes: Quick and Expert
To accommodate users with different levels of experience and evaluation objectives, the platform offers two distinct workflows:
- Quick Mode — This mode provides pre-configured reference applications that allow users to rapidly validate core MCU capabilities. It is ideal for engineers who need a high-level overview of an MCU's performance characteristics without deep customisation. Quick Mode is particularly useful for early-stage feasibility assessments and proof-of-concept evaluations.
- Expert Mode — Designed for more advanced users, Expert Mode delivers a full in-browser virtual machine development environment. It includes compilation, flashing, debugging, and performance analysis functions, giving engineers the same depth of evaluation capability they would expect from a physical hardware setup. This mode is suited to teams that are further along in their MCU selection process and need detailed technical validation before committing to a design.
The dual-mode approach reflects a thoughtful understanding of how different teams engage with MCU evaluation at different stages of the development lifecycle, making the platform relevant across a wide spectrum of use cases.
Enabling Faster Releases of New MCU Variants
Beyond the direct benefits to engineering teams, the platform also streamlines Infineon's own product release processes. The company noted that the platform automates the packaging and release of new MCU variants, enabling them to be made available for customer evaluation immediately upon launch. This closes the gap between when a new MCU is announced and when customers can begin meaningful technical evaluation — a gap that has traditionally been a source of frustration in the industry.
Usage tracking capabilities built into the platform also provide Infineon with valuable data on which MCUs and applications are most frequently evaluated. This insight supports future product development decisions, allowing Infineon to align its roadmap more closely with real-world customer demand.
A Critical Tool for RISC-V MCU Evaluation
Thomas Schneid, Vice President of Software, Partner and Ecosystem Management at Infineon Technologies, highlighted the broader significance of the platform: "While hardware-dependent MCU evaluation has been a bottleneck for many engineering teams, our cloud-based platform is making it significantly easier for customers to get hands-on with our microcontrollers early in their development cycle."
Schneid also pointed to a particularly timely application: "This is particularly helpful when evaluating entirely new MCUs such as our future RISC-V-based family." RISC-V is an open-standard instruction set architecture that is gaining traction in the automotive sector as a flexible, licensable alternative to proprietary architectures. As Infineon prepares to bring its RISC-V-based MCU family to market, the cloud platform will serve as a critical tool for early adopter engagement and ecosystem development.
Why This Matters for the Automotive Industry
The automotive semiconductor market is under increasing pressure to support faster development cycles as vehicles become more software-defined and feature-rich. Electronic control units, advanced driver assistance systems, and in-vehicle networking all depend on capable, well-validated MCUs. The ability to evaluate those MCUs quickly and at scale is no longer a nice-to-have — it is a competitive necessity.
Infineon's cloud-based evaluation platform directly addresses this need. By removing hardware dependencies, reducing costs, and accelerating access to the latest MCU variants, it lowers the barrier to entry for engineering teams at every stage of the automotive design process. Combined with the scalability of AWS infrastructure and the depth offered by Expert Mode, the platform positions Infineon as not just a component supplier, but a development partner for the automotive industry's most demanding engineering challenges.
Conclusion
Infineon's AWS-powered automotive MCU evaluation platform represents a meaningful evolution in how semiconductor companies support their customers. By virtualising the evaluation process and delivering it through a consistent, browser-based interface, Infineon has addressed one of the most persistent pain points in automotive MCU development. As the industry continues to shift toward software-defined vehicles and increasingly complex electronic architectures, tools like this will play a central role in keeping development timelines competitive and engineering resources focused on what matters most — building great products.