AI-accelerated CFD (Computational Fluid Dynamics)

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CFD Suite (AI-accelerated CFD)

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CFD Suite
AI-accelerated Computational Fluid Dynamics.
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CFD Suite
AI-accelerated Computational Fluid Dynamics
Accelerate your CFD simulations by leveraging the speed and efficiency of artificial intelligence.
Slash simulation times, minimize trial-and-error costs, and supercharge decision-making
for heightened productivity.

CFD, Computational Fluid Dynamics
Solving exciting problems across industries
Fire spread simulation
Pollution spread simulation
Aerodynamic simulation
Ensure efficient flow Improve taste

Perform CFD Analysis
to check the solids suspension profile
CFD Simulation
Chemical Mixing
It takes 4-8hrs to complete such simulations. AI can reduce that time to minutes.
Simulations powered by:

AI for CFD?
• Hardware Advancements
– In the past, simulations ran on a few nodes, while today, they can utilize hundreds of nodes.
– Modern processors are significantly faster, accelerating simulation tasks.
• Software Options
– Commercial tools are available, and there are open-source alternatives for various applications.
– Traditional solvers, sometimes with hardware-optimized algorithms, are also in use.
• Turnaround Time Challenge
– Simulations still take days to complete, but customer expectations have evolved.
– Simple flow problems can now be solved within hours,
but customers often expect results within minutes.
• Thinking Outside the Box
– Merely adding more compute power isn't always the solution.
– Considering alternative choices, such as different numerical methods, while addressing concerns about
accuracy.
• Exploring AI Solutions
– Delving into Artificial Intelligence, Deep Learning, and Machine Learning as potential solutions.

AI-accelerated CFD Simulations
byteLAKE’s CFD Suite
• Traditional workflow
• byteLAKE’s CFD Suite
CFD Simulation (iterations, time steps) RESULTS
Visualization
Modeling
RESULTS
Visualization
Hours, weeks
Modeling CFD Suite (AI-accelerated CFD)
2x, 10x, 20x, 40x, …
FASTER time to INSIGHTS
CFD Suite
Collection of innovative AI Models
for computational fluid dynamics.
byteLAKE.com/en/CFDSuite

AI-accelerated CFD, example results
Simulation time reduced: from hours to minutes
Configuration: chemical mixing, <2M cells, 3D data, steady-state, 5K iterations
CFD Solver CFD Suite (AI predictions)
X-Plane
Velocity
X-Plane
Pressure
X-Plane
Turbulent
kinetic
energy
CFD Suite
Simulations powered by:
Example results for: CFD/chemical mixing case study.
Note: accuracy is configurable and depends on requirements.

• Traditional workflow
• byteLAKE’s CFD Suite
Simulate RESULTS
Visualization
Modeling
RESULTS
Visualization
Hours to Weeks
Modeling Simulate
2x, 10x, 20x, 40x, …
Accuracy is configurable and depends on requirements.
Simulate
AI supervisor recognizes the data pattern
and replaces the part of the CFD simulation with a prediction
How does it work?
Faster Time to Insights
(2x, 10x, 20x, 40x, …)
with byteLAKE’s
CFD Suite’s Learning-on-the-Fly
AI Models

Modeling
AI Supervisor
RESULTS
Visualization
Simulate Simulate
Simulate Simulate
AI Accelerator AI Accelerator AI Accelerator
CFD Suite’ collaborating modules generate results
• AI Accelerator, guarantees acceleration and makes predictions based on a trained pattern
• AI Supervisor, guarantees accuracy and decides to:
– Accelerate once or multiple times during simulation
– Stop the simulation and return the physics-aware results
CFD Suite
AI Accelerator and AI Supervisor
2x, 10x, 20x, 40x, …

AI model training & calibration
AI
Past simulations
(historic data)
CFD Suite
AI
➢ Leverage data generated
by past simulations
➢ Learning-on-the-Fly

Hardware
Ensuring high portability across various hardware
and operating system configurations.
CPUs GPUs TF ready
Linux OS Ubuntu CentOS RedHat
CFD Solver Providers CFD Solver A CFD Solver N…
AI Trainer
Keras Horovod
TensorFlow (TF)
CFD AI Connector C++
Python Intel OpenVino
Other hardware accelerators, compatible with TensorFlow.
(*)
(*)
Software Stack (AI training)

AI Predictions
INPUT
DATA
ON-PREMISES
AI-
ACCELERATED
CFD
AI
RESULTS
Various
options
available 3D DATA

Ensuring high portability across various hardware
and operating system configurations.
Hardware
OS
CFD Solver Providers CFD Solver A CFD Solver N…
AI Accelerator
AI Supervisor
(AI Trainer)
Keras
TensorFlow (TF)
CFD AI Connector C++
Python Intel OpenVino
Ubuntu CentOS RedHat Windows
CPUs GPUs
Software Stack (AI predictions / deployment)

Performance & Scalability
AI
Always optimized for the latest hardware available.
AI training optimized for edge servers and multi-node HPC architectures.
Edge Servers and HPC
Cost
Efficient
Scalable
Solution
Maximum
Performance
Quick deployment
& no external dependencies.
On-premises
Example configurations.
Other options available.
Hardware
ThinkSystem SR650V2
ThinkEdge SE350 ThinkEdge SE450
Workstations ThinkSystem SR670V2
AI Predictions AI Training

Benefits
offered by byteLAKE’s CFD Suite
Faster Time to Insights
– Swift simulation results enable quicker decision-
making and problem-solving.
Cost Reduction
– Lower costs associated with reduced trial
and error experimentation.
Rapid Design Iteration
– Accelerated simulations allow
for faster prototype design and testing
Improved Productivity
– Enhanced efficiency in research
and development processes.
Enhanced Safety Measures
– Quick assessments of safety protocols
and potential risks.
Energy Efficiency Optimization
– Faster insights into optimizing energy
consumption and resource utilization.
Resource Conservation
– Reduced resource consumption
in experimental setups.
– Leverage data generated by past simulations
Competitive Advantage
– Faster product development
and innovation lead to a competitive edge.
Real-time Monitoring
– Possibility of real-time monitoring
for immediate adjustments.

CFD Suite
– case study
AI-accelerated Computational Fluid Dynamics
Accelerate your CFD simulations by leveraging the speed and efficiency of artificial intelligence.
Slash simulation times, minimize trial-and-error costs, and supercharge decision-making
for heightened productivity.

• Many everyday products start in small-scale
settings, like home labs, where unique recipes
are crafted in pots and pans.
• Scaling up production demands larger tanks.
• The quality of mixing during manufacturing
directly influences product quality.
➢CFD Simulations play a crucial role.
Background: chemical mixing

• We've chosen a specific phenomenon for benchmarking,
aiming to calculate the stable state of a liquid mixture in
a tank featuring a single impeller and baffles.
• By adjusting input parameters,
we simulate several quantities:
– Velocity vector field (U)
– Pressure scalar field (p)
– Turbulent kinetic energy (k)
– Turbulent dynamic viscosity (mut)
– Turbulent kinetic energy dissipation rate (epsilon)
Scenario: chemical mixing
3D DATA

AI Predictions
AI-
ACCELERATED
CFD
CFD Suite
AI
Results generated by CFD Suite
Results generated by CFD Solver

Panel Discussion:
CFD Suite accelerating Chemical Mixing
✓ Trained for expediting
chemical mixing
simulations.
✓ Optimized for a range
of hardware options.
✓ Versatile and capable
of training with different
CFD simulation types.

Among 5 top startups working on CFD!
“Explore our analysis of 441
global startups & scaleups
and learn how their
computational fluid dynamics
(CFD) solutions impact your
business!”
“This time, you get to discover
5 hand-picked startups
developing computational
fluid dynamics solutions.”

Deployment
& Licensing

1. Define the Scenario
– Identify the target CFD solver for acceleration and explain associated processes
and scenarios (parameters, ranges, dependencies, geometries, etc.).
2. Explain Expectations
– Define the required accuracy levels.
– Specify supported input configuration ranges.
– Share insights on anticipated system performance, including future scalability.
– Outline integration needs and the desired interaction of CFD Suite with other tools
(data formats, API, etc.).
How to Start - preparations

1. Scenario Explanation
– Provide example data.
– Conduct online consultations or arrange in-person meetings as needed.
2. Initial Data Insights
– Explain your data, including types, ranges, and dependencies.
– Identify unusual scenarios or exceptions.
– Determine if historic data is available and note any gaps.
– Discuss data storage methods and assess the need for changes or improvements.
– Share sample data with us.
3. Online Q&A Session
– Conduct an online Q&A session to address questions about the presented data and scenario.
4. Deployment Plan and Schedule
– Present a detailed deployment plan and schedule prepared by byteLAKE.
How to Start - first steps in the project

Licensing & Cost of Deployment
• Licensing
– Annual/monthly licensing plans for CFD Suite, including upgrades, customer care,
and support.
• AI Model Development
– Costs for AI model training and calibration.
• Data Management
– Expenses related to data collection and cleaning.
• Hardware and Software (if needed)
– Hardware costs, as well as any associated licenses.
– Installation expenses.
• Integration and Deployment
– Integration efforts as required for successful deployment.

Join the CFD Suite community
Blog post series,
discussions forum etc.

Links
33
LinkedIn Group
Facebook Group
Blog post series
Website
bytelake.com/en/CFDSuite-FB-group
bytelake.com/en/CFDSuite-LN-group
bytelake.com/en/AI4CFD-toc
bytelake.com/en/CFDSuite
CFDSuite.com

AI-
accelerated
CFD
CFD Suite

Meet byteLAKE
AI Solutions for Industries |
Quality Inspection |
Data Insights |
AI-accelerated CFD |
Self-Checkout
Products:
CFD Suite Cognitive Services
www.byteLAKE.com
Headquartered in Poland
Empowering Industries with Artificial Intelligence
Solutions.
At byteLAKE, we harness cutting-edge technology to
provide advanced quality inspection and data insights
tailored for the Manufacturing, Automotive, Paper,
Chemical, and Energy sectors.
Additionally, we offer self-checkout stations for
Restaurants and object recognition solutions for Retail
businesses.
+48 508 091 885
+48 505 322 282
welcome@byteLAKE.com

AI-accelerated CFD (Computational Fluid Dynamics)

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