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Amazon To Test AI-Created Material For Carbon Capture In Data Centers

Amazon is stepping up its environmental efforts by testing a groundbreaking carbon-removal material for its data centers. The company, which is tackling the growing emissions linked to the artificial intelligence systems powering these centers, has partnered with Orbital Materials, a startup that used AI to design the innovative substance.

Jonathan Godwin, CEO of Orbital Materials, explained that the new material acts like an atomic-level sponge, with cavities precisely sized to capture CO2 without interacting with other elements. This targeted approach could be a game-changer in carbon filtration.

One of the appealing aspects of the new material is its cost-effectiveness. Godwin estimates that the material could account for just 10% of the cost associated with renting a GPU chip for AI training, significantly less than the price of traditional carbon offsets.

Meanwhile, the demand for energy in data centers is rising, as AI’s rapid development requires more power and cooling solutions. This surge poses a challenge for Amazon, which is committed to achieving net-zero carbon emissions by 2040.

Amazon Web Services (AWS), the world’s largest cloud provider by revenue, plans to begin piloting the AI-designed carbon removal material in one of its data centers starting in 2025. This initiative is part of a three-year collaboration with Orbital, which will also gain access to AWS’s technology and open-source AI tools for further development.

Howard Gefen, General Manager of AWS Energy & Utilities, stated that the partnership would promote sustainable innovation, but financial details remain undisclosed. Orbital, with offices in Princeton, New Jersey, and London, began its journey about a year ago by setting up a lab to synthesize AI-designed materials. The startup aims to work with AWS to test additional AI-generated solutions, addressing water usage and cooling requirements in data centers. Godwin co-founded Orbital, which currently employs 20 people and is supported by investors such as Radical Ventures and Nvidia’s venture arm. Before this, Godwin contributed to materials science work at Alphabet’s DeepMind until 2022.

Mistral Raises Funding To Expand AI Infrastructure And Enterprise Business

Paris-based Mistral AI has secured €3 billion ($3.5 billion) in fresh funding in a round led by Samsung, strengthening the startup’s push to compete with OpenAI and Anthropic.

The financing also included the Scaleup Europe Fund, backed by the European Commission and managed by EQT, and existing investor PSG Equity. The round values Mistral at more than €21 billion after the investment.

Mistral Expands From AI Models Into Infrastructure

Mistral CEO and co-founder Arthur Mensch said the new funding will support plans to build the company’s own data centers while continuing to lease computing capacity. Over the long term, Mistral aims to rely fully on infrastructure it owns, with its computing capacity expected to grow by around 100% over the next five years.

That expansion will support larger and faster AI models as Mistral expands its enterprise business. The company is also developing customized tools and integrations for corporate customers adopting AI across more workflows.

Samsung Partnership Expands Industrial Focus

Mistral is working with ASML on AI applications for manufacturing, while its partnership with Samsung could create further opportunities in the industrial sector. The company is also expanding its enterprise business as demand for customized AI systems grows.

Mensch said Mistral’s annual recurring revenue is expected to exceed $1 billion in 2025. He expects the company to beat that target if current growth continues, although Mistral has not provided a revised revenue forecast.

Mensch has also pointed to 2027 as an important period for the company’s expansion as it scales its infrastructure and enterprise operations.

European Sovereignty Shapes Mistral’s AI Strategy

Mistral has positioned itself as a European alternative to US and Chinese AI companies, with sovereignty and control over AI infrastructure central to its strategy. Its open-weight models are another part of that approach, giving customers greater control over how they deploy the technology.

The Scaleup Europe Fund is backed by the European Commission, Novo Holdings and Santander. Its participation gives Mistral additional support as European policymakers seek to strengthen the region’s AI capabilities.

Chinese Competition Raises The Stakes

Mensch said Mistral expects new Chinese AI models to become “very competitive,” increasing pressure on European and US developers. Chinese AI companies still face restrictions in some international markets, limiting their ability to expand outside China.

Mistral also hosts Chinese AI models on its infrastructure while keeping customer data within its own systems. Export restrictions and rapid advances by Chinese developers add uncertainty to the market, but Mistral plans to continue training and developing its own models.

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