Anthropic Signs Cloud Computing Contract with Lambda Worth Approximately $35 Billion

AI startup Anthropic has signed a cloud computing contract worth $35 billion (approximately 5 trillion yen) with Lambda, a cloud services company. Lambda is a company backed by Nvidia and is known for providing GPU cloud services specialized in AI computational processing. The contract appears to have been signed by Anthropic to further expand the operational foundation for its AI model 'Claude'.

Cloud computing contracts are essentially a mechanism for borrowing the vast computational power needed for AI development and operations from external providers without maintaining in-house servers. Generative AI development requires massive calculations using GPUs (graphics processing chips), and the scale of these requirements continues to grow annually. For cutting-edge AI companies like Anthropic, securing stable computational resources is considered a fundamental issue that directly influences model performance improvements and service stability.

Lambda is a cloud provider backed by Nvidia investment, with a focus on providing large-scale GPU resources for AI. Nvidia's GPUs are widely used as the standard computational foundation for AI development, and the fact that Lambda, which is backed by Nvidia, has signed a major contract with Anthropic demonstrates one aspect of the AI industry's infrastructure supply system. Currently, only the contract execution and amount are confirmed, with contract duration and specific service details remaining undisclosed.

A contract size of $35 billion is exceptionally large as an AI infrastructure investment. In recent years, major AI companies have rapidly increased their computational resource expenditures as models become more sophisticated, and major contracts with cloud and semiconductor companies are mounting. Within this trend, the current contract can be viewed as a sign that Anthropic is making a serious push to strengthen its own infrastructure foundation.

As competition in AI model development intensifies, the ability to secure computational resources in a stable and efficient manner is directly linked to corporate competitiveness. Particularly, the cost of inference processing (calculations that occur each time users utilize AI) grows as services expand, making it a strategically important decision to secure large-scale procurement contracts in advance. For Anthropic, the current contract can be viewed as part of its infrastructure investment in anticipation of expanded Claude usage.

Going forward, attention will focus on the specific terms of the contract and which services and regions will actually utilize the computational resources. Additionally, how similar large-scale infrastructure contracts spread across the industry will also be an important indicator for understanding structural changes in the AI industry. The competition for cloud infrastructure is expected to continue in parallel with the development competition for AI models themselves.