- Access industry-leading simulation software on-demand
- Secure containerized architecture including deployments for government approved clouds
- Global automatic application and workflow updates
- Speed up your workflows with computational accelerators including GPUs and FPGAs
HPC Simulation
ON THE NIMBIX CLOUD, IN YOUR DATA CENTER, OR ANY PUBLIC OR PRIVATE CLOUDHow does Nimbix help Engineers reduce simulation times while running complex simulation models?
Nimbix provides Engineers with access to industry-leading commercial simulation software to support advanced HPC workflows. Through our JARVICE™ XE Enterprise HPC Platform, we make it easy to run on-premises, in the cloud of your choosing or a hybrid model. Our secure containerized architecture gives you full advantage of platform and application updates, the speedup of computational accelerators, and a responsive user interface accessible from any device.
Why Scientists & Engineers use Nimbix:
ECONOMIC BENEFITS OF USING NIMBIX:
- Pay for only compute resources used down to the second or on a subscription basis
- Deployable on-premises, on any cloud or a hybrid model making it adaptable to your current environment
- Single sign-on reduces the need to manage connectors and other complex mechanisms on HPC servers
- Comprehensive analytic reporting across all resources for capacity planning and cost analysis
"With Nimbix, we have the flexibility to run what and when we want, regardless of the size of the job, without waiting in line for resources. That means we quickly get the answers we need to design components that are both optimized and manufacturable at a reasonable cost.”
“Accuracy is very important to us. JARVICE and the Nimbix Cloud gave us the HPC resources to run computational fluid dynamics (CFD) simulations using ANSYS Fluent, which provides solutions with a high level of accuracy."
“We needed HPC cloud infrastructure to run simulations that eliminated the need for millions of dollars’ worth of test equipment. Nimbix had us up and running in three days. We were able to develop our new antenna faster, and we already have interest from multiple customers.”
Find the simulation application you need and execute it at any scale, on any device.
Click HyperHub™, to search our expansive app marketplace.
Find the simulation application you need and execute it at any scale, on any device.
Click HyperHub™, to search our expansive app marketplace.
run WORKLOADS in minutes
SIMULATE FASTER
Computational Fluid Dynamics (CFD)
Computational fluid dynamics (CFD) is a branch of fluid mechanics that uses numerical analysis and data structures to analyze and solve problems that involve fluid flows.
Electromagnetics (EM)
Electromagnetic simulation is a modern technology for simulating electromagnetic devices, based on different simulation methods. EM simulation is becoming the tool designers and engineers use to replace costly prototyping.
Electronic Design Automation (EDA)
Electronic design automation (EDA) is a category of software tools for designing electronic systems including integrated circuits and printed circuit boards.
Finite Element Analysis (FEA)
FEA is the simulation of a physical phenomenon. Engineers use FEA to reduce the number of physical prototypes needed and run virtual simulations to optimize their designs.
Multiphysics
Multiphysics simulations use computers and software to couple multiple physical phenomena in order to predict or validate the real-world outcome.
Structural Analysis
Structural analysis is the determination of the effects of loads on physical structures and their components. The results of the analysis are used to verify a structure's fitness for use, often precluding physical tests.
Computational Fluid Dynamics (CFD)
Computational fluid dynamics (CFD) is a branch of fluid mechanics that uses numerical analysis and data structures to analyze and solve problems that involve fluid flows.
Electromagnetics (EM)
Electromagnetic simulation is a modern technology for simulating electromagnetic devices, based on different simulation methods. EM simulation is becoming the tool designers and engineers use to replace costly prototyping.
Electronic Design Automation (EDA)
Electronic design automation (EDA) is a category of software tools for designing electronic systems including integrated circuits and printed circuit boards.
Finite Element Analysis (FEA)
FEA is the simulation of a physical phenomenon. Engineers use FEA to reduce the number of physical prototypes needed and run virtual simulations to optimize their designs.
Multiphysics
Multiphysics simulations use computers and software to couple multiple physical phenomena in order to predict or validate the real-world outcome.
Structural Analysis
Structural analysis is the determination of the effects of loads on physical structures and their components. The results of the analysis are used to verify a structure's fitness for use, often precluding physical tests.
Computational Fluid Dynamics (CFD)
Computational fluid dynamics (CFD) is a branch of fluid mechanics that uses numerical analysis and data structures to analyze and solve problems that involve fluid flows.
Electromagnetics (EM)
Electromagnetic simulation is a modern technology for simulating electromagnetic devices, based on different simulation methods. EM simulation is becoming the tool designers and engineers use to replace costly prototyping.
Electronic Design Automation (EDA)
Electronic design automation (EDA) is a category of software tools for designing electronic systems including integrated circuits and printed circuit boards.
Finite Element Analysis (FEA)
FEA is the simulation of a physical phenomenon. Engineers use FEA to reduce the number of physical prototypes needed and run virtual simulations to optimize their designs.
Multiphysics
Multiphysics simulations use computers and software to couple multiple physical phenomena in order to predict or validate the real-world outcome.
Structural Analysis
Structural analysis is the determination of the effects of loads on physical structures and their components. The results of the analysis are used to verify a structure's fitness for use, often precluding physical tests.
HPC Simulation Case Studies
HPC Simulation Case Studies
HPC Simulation Blogs and Resources
HPC Simulation Blogs and Resources
Four reasons simulation modeling is beneficial
Product modeling and simulation help companies become more efficient in developing products while reducing unnecessary burdens associated with physical prototyping and pilot lines. Today, it is not only the products and their behavior under loads and boundary conditions that are simulated but also most business and commercial aspects such as supply chains and manufacturing lines.
Below are four reasons simulation modeling is beneficial.
Provides clarity and clear direction to product developers
Finite element simulation, especially when employed early in the design process, can steer a product developer towards the concept that will meet most of the product's acceptance criteria. Whether you develop a new product, improve on an existing one, or attempt to discover the root cause of a failure, a simulation may not always give you the answer right away. However, it can help you make an informed decision. While simulation modeling points engineers in the right direction towards a safe and high-performance product, simulations can also lead to failures if not critically and carefully evaluated.
Evaluates design concepts safely and effectively at a fraction of the cost and time of prototyping
Prototyping can be cost-prohibitive in complex systems and can significantly delay projects due to timing and supply chain. Recent developments in rapid prototyping can create high-fidelity prototypes, but most 3D printed parts do not offer the same performance as machined or molded parts. Making sound decisions on underperforming parts can lead to over-design or, in some extreme cases, project cancellation. Also, obtaining potentially high-cost parts from a prototype shop requires set-up and lead-times. Simulation and modeling offer a viable alternative for running experiments, clinical studies, and stressing the design to limit loads in a virtual environment, all with relatively accurate results.
Challenges design concepts in extreme situations that cannot easily be reproduced in a lab
Simulation and modeling are the preferred option in fine-tuning a design to optimize its performance. Many complex designs can be evaluated against each other and performance requirements in a matter of days. The main advantage of simulation modeling is best showcased when engineers expose their design to extreme conditions and loads that are challenging to reproduce in a lab. Simulating conditions in a testing lab is more complicated and sometimes even impossible compared to the ease of virtually simulating conditions.
Provides visual feedback on the product performance and the impact of the environment
Placing prototypes in wind tunnels or Faraday cages allow product developers to evaluate the performance of a product. Seeing the impact a product's environment has on it, such as flowlines and electromagnetic radiation, is more difficult in a physical lab than in a virtual environment. Simulation modeling helps the user understand these effects with the click of a button, ensuring that the product is good for the user and our environment.
Four reasons simulation modeling is beneficial
Product modeling and simulation help companies become more efficient in developing products while reducing unnecessary burdens associated with physical prototyping and pilot lines. Today, it is not only the products and their behavior under loads and boundary conditions that are simulated but also most business and commercial aspects such as supply chains and manufacturing lines.
Below are four reasons simulation modeling is beneficial.
Provides clarity and clear direction to product developers
Finite element simulation, especially when employed early in the design process, can steer a product developer towards the concept that will meet most of the product's acceptance criteria. Whether you develop a new product, improve on an existing one, or attempt to discover the root cause of a failure, a simulation may not always give you the answer right away. However, it can help you make an informed decision. While simulation modeling points engineers in the right direction towards a safe and high-performance product, simulations can also lead to failures if not critically and carefully evaluated.
Evaluates design concepts safely and effectively at a fraction of the cost and time of prototyping
Prototyping can be cost-prohibitive in complex systems and can significantly delay projects due to timing and supply chain. Recent developments in rapid prototyping can create high-fidelity prototypes, but most 3D printed parts do not offer the same performance as machined or molded parts. Making sound decisions on underperforming parts can lead to over-design or, in some extreme cases, project cancellation. Also, obtaining potentially high-cost parts from a prototype shop requires set-up and lead-times. Simulation and modeling offer a viable alternative for running experiments, clinical studies, and stressing the design to limit loads in a virtual environment, all with relatively accurate results.
Challenges design concepts in extreme situations that cannot easily be reproduced in a lab
Simulation and modeling are the preferred option in fine-tuning a design to optimize its performance. Many complex designs can be evaluated against each other and performance requirements in a matter of days. The main advantage of simulation modeling is best showcased when engineers expose their design to extreme conditions and loads that are challenging to reproduce in a lab. Simulating conditions in a testing lab is more complicated and sometimes even impossible compared to the ease of virtually simulating conditions.
Provides visual feedback on the product performance and the impact of the environment
Placing prototypes in wind tunnels or Faraday cages allow product developers to evaluate the performance of a product. Seeing the impact a product's environment has on it, such as flowlines and electromagnetic radiation, is more difficult in a physical lab than in a virtual environment. Simulation modeling helps the user understand these effects with the click of a button, ensuring that the product is good for the user and our environment.