Applied Digital (Nasdaq: APLD) reported fiscal first-quarter 2027 revenue of $341.9 million, up 322% from the prior-year comparable period.
For the quarter ended August 31, 2026, continuing-operations net loss attributable to common stockholders widened to $221.0 million, or $0.76 per share, from $18.5 million, or $0.07. Adjusted EBITDA rose to $64.4 million from $0.5 million; non-GAAP measures exclude majority-owned ChronoScale. Leases covered approximately 1.41 GW and approximately $36 billion of base-term contracted revenue. Polaris Forge 1 reached 250 MW of live capacity on October 1. Applied Digital expects delivered North Dakota capacity to reach 300 MW by year-end 2026.
The company closed $1.59 billion of 7.000% secured notes due 2031 to fund construction and repay a $300 million bridge facility. Quarter-end cash, cash equivalents and restricted cash totaled $3.7 billion, alongside $6.4 billion in debt.
ChronoScale (CHRN) signed two AI infrastructure agreements supporting an expected annualized revenue run rate of $1 billion by calendar Q3 2027.
The agreements extend an existing customer contract and add a new customer, expanding the contracted deployment pipeline and capacity. The revenue expectation includes existing contracts and the current deployment schedule; it is not revenue already earned. Achievement and timing depend on infrastructure deployment and commissioning, power and equipment availability, and access to capital on acceptable terms.
ChronoScale also completed the sale of its Ekso Bionics business unit. The company believes the divestiture will concentrate operations, management resources and capital allocation on accelerated computing and AI infrastructure.
ChronoScale (NASDAQ: CHRN) announced plans with Microsoft for a 50-megawatt (MW) AI compute deployment in North America, built around NVIDIA GB300 NVL72 systems and advanced liquid-cooling. The planned full-stack infrastructure combines compute, networking, storage, software, and purpose-built data center design to support high-density AI training and inference workloads. According to ChronoScale, the integrated platform is intended to meet next-generation accelerated computing requirements for power, cooling, and operations while aiming to deliver production-ready AI capacity for developers and enterprises.
ChronoScale (NASDAQ: CHRN) appointed Raj Jegannathan as Chief Technology Officer and Lawrence Lam as Chief Product Officer to advance its global AI infrastructure strategy. The leaders bring deep experience in AI infrastructure, cloud, and large-scale GPU deployments to support ChronoScale’s accelerated compute platform for enterprises and hyperscalers.
ChronoScale (NASDAQ: CHRN) appointed Cenly Chen as Chief Executive Officer and board member effective May 6, 2026. Chen brings 20+ years of enterprise infrastructure and high-performance computing experience, most recently as Chief Growth Officer and SVP at Super Micro Computer. The company says Chen will lead capacity expansion and operational execution for AI compute.
ChronoScale operates GPU-based infrastructure after combining Applied Digital’s cloud business and EKSO Bionics, focused on AI training, inference, and high-performance computing.