VOLTA comes with a new cloud deployment option for any Kubernetes-compliant environment. modeFRONTIER adds a Python bridge for RSMs, enabling you to train and evaluate your Python models as modeFRONTIER native RSMs.
HPC & CLOUD
VOLTA new Microservices architecture: ready to work in a cloud environment
Companies that are currently investing in cloud systems can now benefit from a new way of deploying VOLTA - cloud deployment (Kubernetes-compliant environment), enabling them to centralize application management and reduce costs. The existing standalone option remains available for all those who want to deploy VOLTA as a single application.
We’ve decided to transition from a monolithic to microservices architecture. While a traditional monolithic architecture guarantees good performance, it isn’t suitable for lots of concurrent users and geographically distributed installations. This is because each component of the application can’t scale independently.
VOLTA cloud deployment provides you with several advantages:
Scalability: handle the increase in demand of hardware resource without impacting VOLTA performance or availability
Elasticity: automatically scale up or down depending on workloads
Fault tolerance: high availability with no interruptions
Agnostic: compatible with most cloud providers (Google Cloud, Amazon Web Service, Microsoft Azure) and private clouds
New Python RSM bridge in modeFRONTIER
The new pyRSM module in the modeFRONTIER RSM wizard lets you write your own algorithm in the Python editor. You can train and evaluate your RSM as native RSM in modeFRONTIER. In this way, you can use external Python Machine Learning libraries (such as scikit-learn) within modeFRONTIER to perform RSM analyses.
Reuse design knowledge and save time Use existing design data generated by previous design space exploration studies in VOLTA Planner. Instead of spending time to recalculate the same designs for the same engineering problem, you can now rely on the new Source Data module to evaluate new configurations of your exploration strategy.
SIMULATION DATA ANALYTICS
Direct access to charts from the Clustering tool in modeFRONTIER
To select the best clustering module it’s best practice to use a dendrogram chart for a Hierarchical approach and DB-index chart for the Partitive approach. After training the models, you can now create these charts immediately at the end of the clustering wizard.
3D Model widget now synchronized with Scatter Bubble
VOLTA Advisor now enables you to compare and visualize 3D models from the same dataset using a Scatter Bubble chart.
BUSINESS PROCESS MANAGEMENT
New Auto Layout tool in VOLTA Modeler
When mapping a set of activities related to an engineering design project and translating them into a business process workflow, it is important to create a comprehensible diagram that stakeholders will take you for. The new Auto Layout functionality now available in VOLTA Modeler is designed for that. It also enables you to save precious time and the effort of manually moving elements into the proper position.
For all other new features please refer to the release notes included in the software updates.