Digitization of engineering workflows is growing at a fast pace and a key component in the process is the use of simulation and modelling to accelerate or to completely remove several aspects of the engineering value chain. This involves the use of virtual prototyping, design optimization, 3D visualization and creation of digital-twins fed through a digital feedback loop with product data. Access to High Performance Computing resources is a key enabler for these methodologies. However design, deployment and evolution of on-premises high-performance computing (HPC) infrastructure is often constrained by physical, technical and financial resources. From a budget planning perspective, an on-premises HPC datacenter requires an upfront investment in form of a building, hardware procurement and maintenance that comes at the price of CAPEX and high energy costs. From a technical perspective, an on-premises infrastructure cannot grant immediate access to the new hardware or to the required capacity to follow oscillations in demand. A growing number of industries are leveraging on cloud resources to overcome these limitations and to access on-demand fast compute, storage and networking resources. Cloud grants access to latest hardware and to constantly growing performances. Extension, migration and modernization of HPC workloads can be done preserving performance and know-how, granting portability of simulation tools. Cloud computing paradigm unlocks new opportunities, enabling optimization and providing flexibility for fast tools and hardware change depending on the business needs. In this session, we will present how a manufacturing enterprise from the energy sector went through this journey. Vestas is a global leader in sustainable energy solutions with more than 160 GW of wind turbines installed in 88 countries. Direct and indirect electrification plays a crucial role in the world-wide commitment to greenhouse gas reduction in the following decades. Estimates show how by 2050, more than 50% of the energy demand is planned to be covered by electricity. In this journey, renewables-based electrification and so wind energy play a crucial role. In the wind energy technology, Annual Energy Production (AEP) is a critical indicator starting from the planning phase of new wind farm projects. A correct and reliable estimation of AEP is a key element in the creation of a solid business case to ensure funding for the project. Scaling up on-shore installation of wind turbine generators (WTG) brings the growing need to assess installation on complex terrains because of the progressive saturation and reduced availability of non-complex sites. Vestas is extensively using CFD simulation and modelling to WTG micro-siting activities. In this context, Vestas has developed in-house several CFD automated methodologies and extensively explored turbulence modelling involving also the creation of a derivative OpenFOAM version termed “VestasFOAM”. Depending on the WTG site complexity, the adopted CFD procedures range from the use of incompressible steady RANS simulations up to the use of unsteady RANS, DES and LES approaches. Their CFD suits is focused on constantly improving what the state of the art models can deliver in terms of AEP and wind resources assessments and mapping. When starting the journey to the cloud, Vestas was aiming to preserve the value of a customized simulation environment developed during the last decades while embracing all the benefits brought by cloud computing. In this session, we will be sharing an overview of the CFD modelling approaches enabling and powering Vestas micro-siting activities and the technical details of the cloud deployment for VestasFOAM software migration. Insights will be provided about the performance gains versus on-premises systems and the overall benefits brought to cloud in such of a complex and customized simulation environment.