SES AI Collaborates with NVIDIA, Crusoe, and Supermicro on AI for Science Initiative to Accelerate Material Discovery in Electric Transportation
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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 99.6%. However, there are an estimated 1012 organic molecules under 20 atoms and 1060 organic molecules under 30 atoms, indicating vast untapped potential for discovering new molecules that could revolutionize battery technology and have significant implications for all of science.
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
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
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
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.
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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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