Anthropic has signed a $1.8 billion computing agreement with cloud services provider Akamai Technologies to expand its infrastructure capacity. The deal addresses growing demand for the AI startup's software services.
Anthropic PBC, the artificial intelligence company behind Claude, has inked a substantial $1.8 billion computing contract with Akamai Technologies Inc., according to sources familiar with the arrangement.
The partnership represents a significant infrastructure investment as Anthropic works to meet surging demand for its AI models and services. The deal with Akamai, a major cloud services provider, will help the company scale its computational resources needed to train and deploy its language models.
This agreement underscores the substantial computing requirements driving the AI industry. Companies developing large language models require enormous amounts of processing power, from training new systems to serving user requests at scale. Infrastructure partnerships have become critical for AI firms seeking to maintain competitive capabilities while managing costs.
Anthropic has raised substantial funding to support its development efforts, positioning itself as a key competitor in the generative AI space. The company has emphasized safety and responsible AI development in its approach to building advanced language models.
The Akamai deal joins other infrastructure announcements across the AI sector. Major AI companies have pursued partnerships with cloud providers and computing specialists to secure the computational capacity needed for their operations.
Akamai Technologies operates one of the world's largest distributed computing platforms, providing cloud services, content delivery, and security solutions to businesses globally. The company's infrastructure capabilities make it a strategic partner for compute-intensive AI workloads.
The financial terms of the agreement reflect the scale of computing resources involved in modern AI development and deployment. Such deals are becoming increasingly common as demand for AI capabilities continues to expand across industries.
Z.ai released GLM-5.3's weights on Hugging Face under a new license that requires large companies to undergo security review before hosting the model. The change marks a departure from the standard MIT license.
Anthropic has introduced the Model Hardware Standard (MHS), a unified interface enabling AI agents to operate robotic arms, lab instruments, and other physical devices. Early testing shows integration time has dropped from weeks to hours.
Open-weight AI companies—those releasing freely available models—are attracting major acquisition interest from tech giants. The trend reflects growing capital investment in the business model of distributing AI models at no cost.
Google Deepmind has upgraded its Co-Scientist AI system to autonomously plan experiments, operate lab equipment, and publish scientific papers. The Gemini-based multi-agent platform demonstrated experimentally validated results across materials science, chemistry, and medical AI development.