ASML, the world’s leading producer of photolithography machines essential for microchip manufacturing, was facing a significant challenge in its testing process. The company's rigorous testing procedures, which are crucial due to the high cost of production delays and the potential for microscopic faults, were time-consuming. Engineers were provided with virtual machines for testing, run from an on-premises data center, but these could take a full day to return results. This delay was holding back the development cycle, as software engineers had to wait anywhere from two hours to a full day for test results, due to limited on-premises data center capacity. The demand for testing varied dramatically, depending on the number and scale of tests, making it difficult to manage with the existing infrastructure.

ASML, a global leader in the semiconductor industry, faced a significant challenge with its new breed of machine learning product. The product, designed to predict process performance per device layer, needed to train itself due to frequent changes in device layer and manufacturing processes. Furthermore, the product had to monitor its own accuracy and retrain accordingly without any connection to ASML. The company needed a powerful, secure platform for building AI-driven products to meet customer demands. However, the semiconductor industry had been resistant to cloud solutions due to fears of compromising security in a field where intellectual property protection is critical.

Microchip Technology Inc. is a leading provider of microcontroller, mixed-signal, analog and Flash-IP solutions, providing low-risk product development, lower total system cost and faster time to market for thousands of diverse customer applications worldwide.