Thursday 10:20 - 11:20
Heterogeneous pipeline processing with Kubernetes and Google Cloud Pub/Sub
At Spacemaker, we are building a product for real estate developers and architects leveraging AI methodologies and massive computing power to maximize the potential of any building site. At the core of our platform's AI engine, we have CPU-intensive optimization and search algorithms, memory-demanding simulations, and GPU-optimized machine learning and computer graphics techniques None of these components, however, are equal in terms of resource requirements. Depending on the input size, some components complete within a couple of milliseconds using one CPU, while other components have run time of hours even with several hundred CPUs. Finally, one of our core values at Spacemaker's is the complete autonomy of every product team. This autonomy enables the teams to make their own choices regarding programming languages and libraries but also on their general approach to the problems on hand.