Web3 promises to be the latest iteration of the internet, transforming how the content we receive and put out online is distributed and, perhaps most importantly, who it is owned by. Built on the key concept of decentralization, where no single entity has oversight or control privileges, and leveraging blockchains, Web3 has quickly become one of the most interesting and controversial next-generation technologies. However, this reputation is changing, as despite contending with numerous challenges surrounding security, regulations, and usability, Web3 is increasingly being recognized for its potential to disrupt entire industries and become a truly transformational piece of technology. Ultimately, whether Web3 can become the next iteration of the internet will be determined in the coming years and hinge on its ability to overcome the growing pains and develop into a mature development framework.

The Cloud is the leading environment for AI and machine learning development, with nearly 9.7 million developers worldwide running their AI workloads in cloud infrastructure. This makes cloud computing the top choice for AI deployment, ahead of on-premises servers, data centers, and edge computing.

Why? Scalability, processing power, and accessibility make the cloud an ideal foundation for complex AI models. But it’s not a one-size-fits-all approach—many developers continue to leverage on-premises and data center solutions to address concerns like security, latency, and infrastructure control.