AIAM SoftwareSimulation

NVIDIA and SandboxAQ drive AI Simulation, the next AI frontier

This collaboration focusing on physical reactions and materials could have very a significant impact on AM

Stay up to date with everything that is happening in the wonderful world of AM via our LinkedIn community.

In a story that is not – for now – directly linked with 3D printing, SandboxAQ and NVIDIA are collaborating to introduce AI Simulation to transform the physical world. Using AI and quantum (AQ) they are simulating and predicting the chemical reactions that will lead to new energy sources, batteries, construction materials, chemicals, metals and more. The companies believe that simulation is the next significant AI advancement after generative AI, and SandboxAQ has been leveraging it for breakthroughs in drug discovery with pharmaceutical companies, to solve complex finance problems with global banks and for battery innovation with Novonix.

It is easy to see how this could impact AM, another field where simulation capabilities are considered tantamount to advancing and accelerating all processes and workflows involved in shaping physical matter, from materials science to chemical reactions and mechanical interactions. NVIDIA in particular has taken a keen interest in industrial digitalization, with several activities that range from the use of AI in manufacturing software to the ability to create 3D models in just a few seconds.

The announcement is significant because non-technical companies can create new innovations using SandboxAQ software and NVIDIA quantum platforms to directly simulate the quantum mechanics underpinning modern chemistry, biology and material science using tensor networks.

“Simulation is one of the most promising future technological applications, and it’s already leaving its mark today. Thanks to rapid advances in GPU hardware and quantum information science, we’re finally able to harness AI for more specialized applications that will have a profound impact on our world,” said Eric Schmidt, Chairman of SandboxAQ. “SandboxAQ’s AI simulation capabilities, augmented with NVIDIA accelerated computing and quantum platforms, will help enable the creation of new materials and chemical compounds that will transform industries and address some of the world’s biggest challenges.”

“Simulation will drive a new wave of GPU use, powering previously unattainable insights about our physical world that go beyond what extractive or generative AI are capable of unlocking. Combining Simulation with advanced AI yields solutions to problems in some of the biggest addressable markets in the world,” said Jack D. Hidary, CEO of SandboxAQ.

SandboxAQ’s collaboration with NVIDIA will initially focus on predicting chemical reactions for drug discovery, battery design, green energy, and more. SandboxAQ will leverage NVIDIA quantum platforms to directly simulate the quantum mechanics underpinning modern chemistry, biology and material science using tensor networks.

“Simulation will drive a new wave of GPU use, powering previously unattainable insights about our physical world that go beyond what extractive or generative AI are capable of unlocking. Combining Simulation with advanced AI yields solutions to problems in some of the biggest addressable markets in the world, far beyond what generative AI is capable of doing alone,” said Jack D. Hidary, CEO of SandboxAQ. “This collaboration will have a significant impact on a broad range of industries such as healthcare, energy, construction, financial services and more.”

“Advances in quantum chemistry and molecular modeling require powerful accelerated computing platforms to predict complex chemical interactions that can present countless benefits to society,” said Tim Costa, director of high-performance computing and quantum at NVIDIA. “NVIDIA’s collaboration with SandboxAQ will help equip scientists to make the next generation of breakthroughs in material science.”

As part of the collaboration, SandboxAQ will be providing technical recommendations on relevant NVIDIA offerings including cuTENSOR, cuTensorNet, Quantum Computing and CUDA libraries. Tensor networks are a scalable way of representing high-dimensional data and are drawing growing interest across numerous domains: machine learning and data science, financial modeling, fluid dynamics, quantum chemistry and more. SandboxAQ will use highly GPU-optimized tensor network methods run on up to 32 NVIDIA H100 Tensor Core GPUs to solve challenging problems in science and industries. SandboxAQ also plans to leverage NVIDIA cuTENSOR and NVIDIA cuQuantum software.

This work on tensor networks will complement and supercharge SandboxAQ’s existing efforts to leverage AI and Simulation towards impact in pharmaceutical development, materials science, and beyond. Specific applications of SandboxAQ AI and Simulation include protein-ligand binding computations for large-scale undruggable targets in neurodegenerative disease, novel solutions for pose and toxicity prediction, and new AI methods to predict lifecycles for next-generation batteries composed of novel materials.

Research
Composites AM 2024

746 composites AM companies individually surveyed and studied. Core composites AM market generated over $785 million in 2023. Market expected to grow to $7.8 billion by 2033 at 25.8% CAGR. This new...

Davide Sher

Since 2002, Davide has built up extensive experience as a technology journalist, market analyst and consultant for the additive manufacturing industry. Born in Milan, Italy, he spent 12 years in the United States, where he completed his studies at SUNY USB. As a journalist covering the tech and videogame industry for over 10 years, he began covering the AM industry in 2013, first as an international journalist and subsequently as a market analyst, focusing on the additive manufacturing industry and relative vertical markets. In 2016 he co-founded London-based VoxelMatters. Today the company publishes the leading news and insights websites VoxelMatters.com and Replicatore.it, as well as VoxelMatters Directory, the largest global directory of companies in the additive manufacturing industry.

Related Articles

Leave a Reply

Your email address will not be published. Required fields are marked *

Back to top button
Close Popup
Privacy Settings saved!
Privacy Settings

When you visit any web site, it may store or retrieve information on your browser, mostly in the form of cookies. Control your personal Cookie Services here.

These cookies are necessary for the website to function and cannot be switched off in our systems.

Technical Cookies
In order to use this website we use the following technically required cookies
  • PHPSESSID
  • wordpress_test_cookie
  • wordpress_logged_in_
  • wordpress_sec

Decline all Services
Save
Accept all Services

Newsletter

Join our 12,000+ Professional community and get weekly AM industry insights straight to your inbox. Our editor-curated newsletter equips executives, engineers, and end-users with crucial updates, helping you stay ahead.