Applied Digital Aktie News

Applied Digital (Nasdaq: APLD) and CoreWeave (Nasdaq: CRWV) reported earnings showing two companies attacking AI infrastructure from opposite ends.

Applied Digital Corporation energized the first 100MW building at Polaris Forge 1, advancing toward its 400MW campus goal. APLD invested $25 million in Corintis to access advanced chip-level liquid cooling, targeting efficiency gains for AI data centers. Corintis technology could enable denser AI racks and support next-gen GPUs, with pilot deployment expected by late 2026 or early 2027.

Applied Digital (NASDAQ: APLD) serves as the lead investor in a $25 million funding round for Corintis, a Swiss-based advanced chip-cooling innovator.

Applied Digital (APLD +4.10%) is gaining momentum as massive long-term AI infrastructure agreements push its contracted revenue toward $16 billion. With rapid construction progress, expanding hyperscaler partnerships, and growing institutional interest, the company is positioning itself as a major player in the race for high-density compute capacity.

Applied Digital stock is up big because of demand for its AI data centers. Lease agreements with CoreWeave and another hyperscaler are worth approximately $16 billion over the next 15 years.

The tech-heavy Nasdaq Composite index has clocked a healthy gain of close to 20% year to date as of this writing. Many companies in the tech sector are witnessing solid business growth thanks to the catalyst of the AI megatrend.

Shares of Applied Digital NASDAQ: APLD rose by 12.8% on Nov. 24, a significant move that caught the attention of investors in the artificial intelligence (AI) sector. This was not a rally based on hype, but a direct market reaction to a tangible achievement: the company announced that its first 100-megawatt (MW) building at the Polaris Forge 1 campus in North Dakota is officially Ready for Serv...

The evolution of artificial intelligence (AI) is tied to physical infrastructure. Every breakthrough in AI models, training speeds, and inference workloads requires massive amounts of power, cooling, and compute capacity.