Evolve brings together Big Data, HPC and Cloud Domains in a single testbed and delivers an acceleration infrastructure that combines heterogenous technologies to create a powerful platform. Evolve’s acceleration infrastructure has been exposed to the Evolve cloud service as well as to a web-based graphical frontend. Applications from the deep learning domain have been leveraged, to evaluate the functionality and performance of the acceleration substrate within the Evolve’s integrated HW/SW testbed platform. Evolve’s users can develop their own accelerators and import them as libraries. Furthermore, they can create their applications based on major machine learning toolflows, such as Tensorflow. A tensorflow-gpu version targeting cublas has already been deployed on evolve-infrastructure. Similarly, Evolve aspires to provide generic pre-compiled machine learning FPGA bitstreams and even expose fpga-acceleration capabilities to Tensorflow.