SES AI Collaborates with NVIDIA, Crusoe, and Supermicro on AI for Science Initiative to Accelerate Material Discovery in Electric Transportation
SES AI (NYSE: SES) has announced a groundbreaking initiative to accelerate material discovery in electric transportation. The project aims to map the universe of small molecules using AI-powered supercomputers, revolutionizing battery chemistry understanding. This collaboration involves NVIDIA, Crusoe, and Supermicro, combining science, computing, and sustainability.
The initiative will use NVIDIA HGX H100 GPU clusters to generate a comprehensive database of molecular properties. SES AI will then construct advanced generative models and a 70-billion-parameter Llama 3 model trained on battery-related data. Promising candidates will undergo testing in SES AI's Electrolyte Foundry.
This project leverages Crusoe's sustainable AI cloud platform, aiming to minimize environmental impact while driving technological advancement in battery innovation for EVs, UAMs, and various applications.
SES AI (NYSE: SES) ha annunciato un'iniziativa rivoluzionaria per accelerare la scoperta di materiali nel trasporto elettrico. Il progetto mira a mappare l'universo delle piccole molecole utilizzando supercomputer alimentati da IA, rivoluzionando la comprensione della chimica delle batterie. Questa collaborazione coinvolge NVIDIA, Crusoe e Supermicro, combinando scienza, informatica e sostenibilità.
L'iniziativa utilizzerà cluster GPU NVIDIA HGX H100 per generare un database completo delle proprietà molecolari. SES AI costruirà quindi modelli generativi avanzati e un modello Llama 3 con 70 miliardi di parametri addestrato su dati relativi alle batterie. I candidati promettenti verranno testati nella Electrolyte Foundry di SES AI.
Questo progetto sfrutta la piattaforma cloud AI sostenibile di Crusoe, mirando a ridurre l'impatto ambientale mentre promuove l'avanzamento tecnologico nell'innovazione delle batterie per VE, UAM e varie applicazioni.
SES AI (NYSE: SES) ha anunciado una iniciativa innovadora para acelerar el descubrimiento de materiales en el transporte eléctrico. El proyecto tiene como objetivo mapear el universo de pequeñas moléculas utilizando supercomputadoras impulsadas por IA, revolucionando la comprensión de la química de baterías. Esta colaboración involucra a NVIDIA, Crusoe y Supermicro, combinando ciencia, computación y sostenibilidad.
La iniciativa utilizará clusters de GPU NVIDIA HGX H100 para generar una base de datos completa de propiedades moleculares. SES AI luego construirá modelos generativos avanzados y un modelo Llama 3 de 70 mil millones de parámetros entrenado con datos relacionados con baterías. Los candidatos prometedores serán sometidos a pruebas en la Electrolyte Foundry de SES AI.
Este proyecto aprovecha la plataforma de nube AI sostenible de Crusoe, con el objetivo de minimizar el impacto ambiental mientras impulsa el avance tecnológico en la innovación de baterías para vehículos eléctricos, UAM y diversas aplicaciones.
SES AI (NYSE: SES)는 전기 운송에서 물질 발견을 가속화하기 위한 획기적인 이니셔티브를 발표했습니다. 이 프로젝트는 AI 기반 슈퍼컴퓨터를 사용하여 소분자 우주를 매핑하는 것을 목표로 하며, 배터리 화학에 대한 이해를 혁신적으로 변화시킵니다. 이 협력은 NVIDIA, Crusoe 및 Supermicro를 포함하여 과학, 컴퓨팅 및 지속 가능성을 결합합니다.
이 이니셔티브는 NVIDIA HGX H100 GPU 클러스터를 사용하여 분자 속성의 포괄적인 데이터베이스를 생성할 것입니다. SES AI는 이후 배터리 관련 데이터로 훈련된 70억 개 매개변수를 가진 Llama 3 모델을 구성할 것입니다. 유망한 후보자는 SES AI의 전해질 공장에서 테스트를 받게 됩니다.
이 프로젝트는 Crusoe의 지속 가능한 AI 클라우드 플랫폼을 활용하여 환경 영향을 최소화하면서 전기차, UAM 및 다양한 응용 분야의 배터리 혁신을 위한 기술 발전을 이끌어낼 것입니다.
SES AI (NYSE: SES) a annoncé une initiative révolutionnaire pour accélérer la découverte de matériaux dans le domaine du transport électrique. Le projet vise à cartographier l'univers des petites molécules en utilisant des supercalculateurs alimentés par l'IA, révolutionnant ainsi la compréhension de la chimie des batteries. Cette collaboration implique NVIDIA, Crusoe et Supermicro, combinant science, informatique et durabilité.
L'initiative utilisera des clusters GPU NVIDIA HGX H100 pour générer une base de données complète des propriétés moléculaires. SES AI construira ensuite des modèles génératifs avancés et un modèle Llama 3 de 70 milliards de paramètres formé sur des données relatives aux batteries. Les candidats prometteurs feront l'objet de tests dans l'Electrolyte Foundry de SES AI.
Ce projet s'appuie sur la plateforme cloud AI durable de Crusoe, visant à minimiser l'impact environnemental tout en favorisant l'avancement technologique dans l'innovation des batteries pour les VE, les UAM et diverses applications.
SES AI (NYSE: SES) hat eine bahnbrechende Initiative angekündigt, um die Materialentdeckung im Bereich der elektrischen Mobilität zu beschleunigen. Das Projekt zielt darauf ab, das Universum der kleinen Moleküle mithilfe von KI-gesteuerten Supercomputern zu kartieren und das Verständnis der Batterietechnologie zu revolutionieren. Diese Zusammenarbeit umfasst NVIDIA, Crusoe und Supermicro und kombiniert Wissenschaft, Informatik und Nachhaltigkeit.
Die Initiative wird NVIDIA HGX H100 GPU-Cluster verwenden, um eine umfassende Datenbank molekularer Eigenschaften zu erstellen. SES AI wird anschließend fortschrittliche generative Modelle entwickeln und ein Llama 3 Modell mit 70 Milliarden Parametern, das auf batterieverwandten Daten trainiert wurde. Vielversprechende Kandidaten werden in der Elektrolytfabrik von SES AI getestet.
Dieses Projekt nutzt Crusoes nachhaltige KI-Cloud-Plattform, um Umweltauswirkungen zu minimieren und gleichzeitig den technologischen Fortschritt in der Batterietechnologie für Elektrofahrzeuge, UAMs und verschiedene Anwendungen voranzutreiben.
- Collaboration with industry leaders NVIDIA, Crusoe, and Supermicro for advanced AI-driven battery research
- Potential to revolutionize battery technology and energy storage solutions
- Use of cutting-edge AI and supercomputing technology for material discovery
- Focus on sustainable computing infrastructure to minimize environmental impact
- Expansion of AI applications in manufacturing, safety, and scientific discovery for Li-Metal batteries
- None.
Insights
This collaboration marks a significant leap in battery technology research. By leveraging NVIDIA's GPU clusters and Crusoe's AI cloud platform, SES AI aims to explore an estimated
The initiative's three-phase approach - database generation, advanced generative model creation and multimodal large language model development - could revolutionize battery material discovery. If successful, this AI-driven approach could accelerate innovations not just in Li-Metal batteries for EVs and UAMs, but across various battery applications. The potential for rapid advancements in energy storage solutions could have far-reaching implications for multiple industries.
While the collaboration's long-term potential is promising, investors should note that immediate financial impact may be SES AI's stock (NYSE: SES) might see increased attention due to this high-profile partnership, but tangible results and revenue impact could take years to materialize. The company's focus on AI-driven initiatives for manufacturing, safety and now material discovery demonstrates a forward-thinking approach that could enhance its competitive position in the EV battery market.
However, the capital-intensive nature of this research and the uncertain timeline for commercialization present risks. Investors should monitor the company's cash burn rate and any updates on milestone achievements in this AI for Science initiative. The partnership with industry leaders like NVIDIA and Crusoe could also open doors for future collaborations or funding opportunities, potentially de-risking the venture.
This initiative aligns with the growing demand for sustainable technologies in transportation. By utilizing Crusoe's climate-aligned cloud platform, SES AI demonstrates a commitment to minimizing the environmental impact of intensive computational tasks. This approach could set a new standard for responsible AI research in the energy sector.
The potential discovery of more efficient battery materials could significantly accelerate the adoption of electric vehicles and urban air mobility solutions, contributing to reduced carbon emissions in the transportation sector. However, it's important to consider the full lifecycle impact of any new materials discovered, including their sourcing, production and recyclability. As the project progresses, stakeholders should push for transparency in environmental assessments of promising candidates to ensure that innovations truly contribute to sustainability goals.
SES, NVIDIA, and Industry Leaders Collaborate to Accelerate Li-Metal Battery Innovations for Electric Vehicles (Photo: Business Wire)
The Untapped Potential in Battery Chemistry
Optimizing electrolytes--composed of small molecules--is critical to unlocking the full potential of lithium-metal batteries. Over the past 30 years, the battery industry has studied roughly 1,000 (103) organic molecules and achieved a coulombic efficiency of over
Revolutionizing Battery Innovation with AI
SES AI, known for its cutting-edge lithium-metal batteries used in electric vehicles (“EV”) and urban air mobility (“UAM”), has been at the forefront of battery technology since its founding in 2012. SES AI has continually pushed the envelope in battery safety and performance, leveraging AI to accelerate innovation. SES AI’s AI-driven initiatives include:
- AI for Manufacturing: Analysing manufacturing data to ensure quality and safety.
-
AI for Safety: Predicting battery incidents to ensure nearly
100% battery safety in the field. - AI for Science: Mapping the molecular universe to discover next-generation materials.
"AI is changing everything. Our AI for Manufacturing, AI for Safety, and AI for Science models are accelerating the commercialization, time to revenue, and profitability of Li-Metal for EV and UAM," said Qichao Hu, CEO of SES AI.
Harnessing the Power of AI
The AI for Science initiative begins with the use of NVIDIA HGX H100 GPU clusters to generate a comprehensive database, predicting the electronic structures and properties of each molecule. This database will be the foundation for the construction, pre-training, and fine-tuning of physics-informed machine learning (“ML”) models leveraging Crusoe Cloud H100 virtualized instances built with NVIDIA HGX technology." Expanding upon the capabilities of the foundation model, SES AI will next construct, train, and fine-tune an advanced generative model. These efforts are uniquely supported by Crusoe’s sustainable computing infrastructure, helping ensure that the intensive computational tasks are carried out efficiently and with minimal environmental impact.
The final phase will involve the creation of a multimodal large language model (LLM) and AI agent, training a 70-billion-parameter Llama 3 model on approximately 200 billion tokens from various battery-related texts and literature. This is enabled by the NVIDIA accelerated computing platform and Supermicro’s high-performance hardware, significantly broadening the scope and accuracy of SES AI’s predictive capabilities. The most promising candidates from this AI-driven analysis will undergo rigorous laboratory testing in SES AI’s Electrolyte Foundry, where the candidates will be synthesized, evaluated in battery cells, and assessed for real-world performance.
“With access to more NVIDIA GPUs, we expect to map a large enough molecular universe that our AI model training will reach sufficient accuracy. Once we have this map, we believe we can accelerate material discovery for any battery problem. This includes not just Li-Metal for EVs and UAMs, but also Li-ion batteries for consumer electronics, grid storage, automotive, and other applications,” added Hu.
Powering AI for Science with Crusoe
Crusoe® Cloud is a purpose-built AI-cloud platform that offers the latest NVIDIA GPUs, high-performance networking and storage solutions. Crusoe powers its cloud platform by developing, building, and utilizing a differentiated portfolio of clean energy solutions to minimize the environmental impacts of both energy production and computing.
This project will leverage Crusoe’s climate-aligned cloud platform, powered by NVIDIA and Supermicro.
“By collaborating with Crusoe, NVIDIA, and Supermicro, we combine cutting-edge AI with sustainable computing infrastructure to drive breakthroughs in battery innovation. This project embodies our commitment to sustainability and technological advancement,” noted Hu.
Statements from Key Partners
Chase Lochmiller, CEO, Crusoe: “Crusoe is dedicated to aligning the future of computing with the future of the climate. By providing a sustainable and cost-effective AI cloud platform, we are supporting SES AI’s vision to map the molecular universe and create ground-breaking AI models that could accelerate a sustainable future. This collaboration showcases how advanced computing can drive scientific progress while minimizing environmental impact.”
Matt McGrigg, Director of Global Business Development for Cloud Partners, NVIDIA: “Energy efficiency and minimal environmental impact are crucial in advancing computational workflows. As part of its collaboration with Crusoe, SES AI is using NVIDIA’s GPUs and AI technology to harness powerful compute capabilities that will help unlock new potential in battery innovation and energy storage solutions.”
Cenly Chen, Chief Growth Officer, Supermicro: “Supermicro’s high-performance computing solutions are designed to support intensive workloads and innovative projects like SES AI’s initiative in AI for Science. We are excited to contribute to this effort with our advanced and energy-efficient hardware.”
A Vision for the Future
SES AI’s initiative to map the molecular universe represents a significant leap forward in battery technology. By harnessing the power of AI and sustainable computing, the project is set to uncover significant breakthroughs in battery technology, helping drive widespread adoption of clean, sustainable electric transport, and innovation and industrial applications across materials science, technology, and pharmaceuticals.
For more information about SES AI and its initiatives, please visit the SES AI website.
About SES AI:
SES AI Corp. (NYSE: SES) is powering the future of global electric transportation on land and in the air with the world’s most advanced Li-Metal batteries. SES AI is the first battery company in the world to accelerate its pace of innovation by utilizing superintelligent AI across the spectrum of its business, from research and development; materials sourcing; cell design; engineering and manufacturing; to battery health and safety monitoring. Founded in 2012, SES AI is an Li-Metal battery developer and manufacturer headquartered in
SES AI may use its website as a distribution channel of material company information. Financial and other important information regarding SES AI is routinely posted on and accessible through the Company’s website at www.ses.ai . Accordingly, investors should monitor this channel, in addition to following SES AI’s press releases, Securities and Exchange Commission filings and public conference calls and webcasts.
Forward-Looking Statements
This press release contains statements that SES AI believes are “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995. These forward-looking statements include, without limitation, statements relating to expectations for future financial performance, business strategies or expectations for our business. These statements are based on the beliefs and assumptions of the management of SES AI. Although SES AI believes that its plans, intentions and expectations reflected in or suggested by these forward-looking statements are reasonable, it cannot provide assurance that it will achieve or realize these plans, intentions or expectations. These statements constitute projections, forecasts and forward-looking statements, and are not guarantees of performance. Such statements can be identified by the fact that they do not relate strictly to historical or current facts. When used in this press release, words such as “anticipate”, “believe”, “can”, “continue”, “could”, “estimate”, “expect”, “forecast”, “intend”, “may”, “might”, “plan”, “possible”, “potential”, “predict”, “project”, “seek”, “should”, “strive”, “target”, “will”, “would” and similar expressions may identify forward-looking statements, but the absence of these words does not mean that a statement is not forward-looking.
You should not place undue reliance on these forward-looking statements. Should one or more of a number of known and unknown risks and uncertainties materialize, or should any of SES AI’s assumptions prove incorrect, our actual results or performance may be materially different from those expressed or implied by these forward-looking statements. Some factors that could cause actual results to differ include, but are not limited to the following risks: risks related to the development and commercialization of SES AI’s battery technology and the timing and achievement of expected business milestones; risks relating to the uncertainty of achieving and maintaining profitability; risks relating to the uncertainty of meeting future capital requirements; the ability of SES to integrate its products into electric vehicles (“EVs”) and Urban Air Mobility (“UAM"), drones and other applications; the risk that delays in the pre-manufacturing development of SES AI’s battery cells could adversely affect SES AI’s business and prospects; the market for air mobility, and for use of Li-Metal technology in air mobility applications, is still emerging and may not achieve the growth potential we expect; risks relating to the development of the UAM market and demand for batteries from the UAM industry; potential supply chain difficulties; the ability of SES AI to engage target original equipment manufacturers (“OEMs”) customers successfully and integrate SES AI’s products into EVs manufactured by OEM customers; the ability to obtain raw materials, components or equipment through new or existing supply relationships; SES AI’s use of artificial intelligence and machine learning may result in legal and regulatory risk; risks resulting from SES AI’s joint development agreements and other strategic alliances and investments; product liability and other potential litigation, regulation and legal compliance; SES AI’s ability to attract, train and retain highly skilled employees and key personnel; developments in alternative technology or other fossil fuel alternatives; risks related to SES AI’s intellectual property; business, regulatory, political, operational, financial and economic risks related to SES AI’s business operations outside
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Source: SES AI Corporation
FAQ
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