Wall Street Sees Significant Upside for Nebius in AI Infrastructure Race

Compass Point analyst cites Nebius's strategic AI data center position, partnerships with Microsoft & Meta, and strong Q4 capex growth as key drivers for a bullish $150 price target.

A prominent Wall Street research firm has initiated coverage on Nebius Group, expressing strong confidence in the AI cloud infrastructure provider's future. Compass Point analyst Michael Donovan established a $150 price target for the shares on February 18, citing the company's strategic position within the high-growth market for artificial intelligence data centers.

Strong Performance and Strategic Partnerships Underpin Bullish Case

The positive assessment follows Nebius's recent fourth-quarter results, released on February 12, which highlighted a substantial increase in capital expenditures. This spending surge is being driven by purchases of AI processors and data center expansion. In a shareholder letter, CEO Arkady Volozh noted that demand from both enterprise and AI-native customers continues to outpace available supply.

Donovan's optimism is partly rooted in key partnerships Nebius has secured with hyperscalers Microsoft and Meta. According to Compass Point, these agreements provide crucial visibility into future demand. The analyst is confident in management's execution, expecting the firm to successfully convert its contracted power capacity and funded investments into operational clusters, all while maintaining high utilization rates during its scaling phase.

A Full-Stack Approach in a Constrained Market

The analysis identifies Nebius's operational niche as a primary advantage: it functions in the particularly tight market segment of available data center capacity for AI applications. The company employs an integrated, full-stack model encompassing cloud software, custom-designed systems, and physical infrastructure.

This structure is believed to offer predictable performance, high utilization, and production-grade reliability. The underlying infrastructure leverages NVIDIA's latest platforms and high-speed networking technology, engineered specifically for large-scale training and inference workloads. Integrated security, compliance features, and capacity reservation tools are designed to simplify AI deployment planning for enterprise clients.

Software Portfolio and Market Reaction

Beyond its core infrastructure, Donovan points to Nebius's software products as an additional growth engine. The company's AI Cloud service targets large-scale training workloads, while its Token Factory is geared toward production inference and post-training scenarios.

The market has reacted favorably to this newfound Wall Street endorsement. On February 19, the stock advanced approximately 4.8%. This move adds to an impressive twelve-month gain of roughly 103% for the equity.