A new wave of cloud companies tailored for artificial intelligence workloads is attracting significant investments and prominent enterprise clients. One noteworthy example is Nvidia’s $2 billion investment in Nebius, a company specializing in large AI systems in the cloud.
This investment gives Nvidia an 8.3% stake in Nebius and reflects the growing demand for computing power from companies involved in building or deploying AI systems. Referred to as “neocloud” companies, these providers focus primarily on high-performance infrastructure for AI model training and related workloads.
Unlike traditional cloud providers that offer a variety of software services, neocloud firms concentrate on large clusters of graphics processors and networking systems essential for training and running machine learning models. The need for this specialized infrastructure has increased as AI systems become more intricate and expansive.
Nebius is planning to enhance its computing capacity in the upcoming years to meet the rising demand. The company aims to construct over five gigawatts of AI data-center capacity by 2030, as reported by Reuters.
These facilities are designed to accommodate large clusters of graphics processing units used for training and operating AI models. Major technology companies, including Microsoft and Meta Platforms, have already signed significant contracts with Nebius for AI infrastructure supply.
The shift towards AI workloads is reshaping the cloud market, with neocloud providers like Nebius, CoreWeave, and Lambda gaining prominence. These companies offer services tailored for AI model training, inference workloads, and large-scale data processing.
As the demand for AI tools in products and internal systems continues to grow, the need for specialized cloud infrastructure is expected to rise. The expansion of AI infrastructure is becoming a key driver of cloud spending, with major tech companies investing heavily in data center construction and AI hardware purchases. Specialist providers are also raising substantial funds to develop facilities specifically designed for AI workloads.
Nvidia’s investment in Nebius aligns with the chipmaker’s efforts to expand its role in the AI computing stack. By investing in infrastructure providers, Nvidia can help bolster the supply of computing environments built around its hardware. This investment demonstrates how the cloud market is evolving, with AI workloads paving the way for new segments and specialized infrastructure providers.
