Fast Cloud-Native Solver & SDK.
Voxel-based transient conduction solver that leverages NVIDIA GPUs for ultra-fast performance
Meshless thermal analysis
Designed for non-expert analysts, our Fast Cloud-Native Solver voxelizes the computational domain directly from CAD geometry using an automatic algorithm that refines the discretization around key geometric features.
By removing the common workflow step of manually meshing geometry, necessary in other tools, the Fast Cloud-Native Solver is a key building block for developing simulation apps.
Optimized cooling solutions
The Fast Cloud-Native Solver supports 1D fluid-network cooling channels to model convection heat transfer.
Its cooling channel generative design algorithm uses an adjoint solution to optimize cooling channel placement.
Originally developed for plastic injection mold cooling analysis, the solver includes specific capabilities to compute safe ejection time and dedicated models for baffles, runners, and heaters. The Fast Cloud-Native Solver is the numerical engine behind Maya HTT’s SimForm Mold Cooling Analysis platform.
Fast cloud-ready simulation
Built using NVIDIA’s CUDA framework, the Fast Cloud-Native Solver is highly parallelized and able to efficiently solve problems with tens of millions of cells.
The solver can easily be run on engineering workstations, HPC clusters, and on cloud infrastructure.
Frequently asked questions
What is Maya HTT’s Fast Cloud-Native Solver & SDK?
Maya HTT’s Fast Cloud-Native Solver & SDK is a voxel-based transient conduction solver that uses NVIDIA GPUs to deliver ultra-fast thermal simulation performance. It is designed as a building block for developing simulation applications.
Does the Fast Cloud-Native Solver require manual meshing?
No. The Fast Cloud-Native Solver voxelizes the computational domain directly from CAD geometry using an automatic algorithm. This removes the need for manual geometry editing and meshing, which is commonly required in other simulation tools.
Who is the Fast Cloud-Native Solver designed for?
The Fast Cloud-Native Solver is designed for non-expert analysts as well as teams developing simulation applications. Its automatic voxelization workflow helps simplify thermal analysis by reducing the manual preprocessing work typically associated with simulation setup.
Can the Fast Cloud-Native Solver model cooling channels and convection heat transfer?
Yes. The solver supports 1D fluid-network cooling channels to model convective heat transfer. It also includes a cooling channel generative design algorithm that uses an adjoint solution to optimize cooling channel placement.
Where can Maya HTT’s Fast Cloud-Native Solver be deployed?
The Fast Cloud-Native Solver can run on engineering workstations, HPC clusters, and cloud infrastructure. It is built using NVIDIA’s CUDA framework and is highly parallelized to solve problems with tens of millions of cells efficiently.