ChronoScale (CHRN) faces several key risks, primarily due to its nature as a newly forming entity in the specialized artificial intelligence (AI) compute market.

1. Completion and Integration Risks of Proposed Business Combination: ChronoScale is being formed through a proposed business combination between Applied Digital's cloud computing unit and EKSO Bionics Holdings. There is a risk that the parties may not be able to complete due diligence, negotiate and execute definitive documentation, or close the proposed transaction. Even if the transaction closes, there are risks associated with difficulties and delays in integrating the combined business, higher than anticipated transaction costs, and the ability to realize the contemplated financial, business, or strategic benefits of the combination.
2. Reliance on Evolving AI and High-Performance Computing Market Demand: ChronoScale is purpose-built to support demanding AI workloads, providing scalable GPU-based infrastructure optimized for AI training, inference, and high-performance computing. The business is inherently exposed to the dynamic nature of the AI market. Changes to AI and High-Performance Computing infrastructure needs, or a decline in demand for the combined company's specialized products and services, could significantly impact its future plans and profitability.
3. Ability to Raise Additional Capital: As a new entity in a capital-intensive industry, ChronoScale's success is dependent on its ability to raise additional capital to fund its business plan. The availability of project and other financing to grow the combined company is a crucial factor.

ChronoScale (CHRN) operates in the rapidly expanding market for GPU-accelerated cloud infrastructure and AI compute.

The global AI infrastructure market was valued at approximately USD 58.78 billion in 2025 and is projected to grow to USD 497.98 billion by 2034, demonstrating a compound annual growth rate (CAGR) of 26.60% over the forecast period. Another estimate places the global AI infrastructure market size at USD 98.13 billion in 2025, with a projected growth to USD 560.12 billion by 2033, at a CAGR of 24.33% from 2026 to 2033.

More specifically, the global GPU Cloud Computing Market, which directly addresses ChronoScale's offering of GPU as a Service (GPUaaS), is expected to grow from USD 5.78 billion in 2026 to USD 86.09 billion by 2035, with a CAGR of 35% between 2026 and 2035. Another report estimates the GPU as a service market size to grow from USD 8.66 billion in 2026 to USD 162.54 billion by 2034, exhibiting a CAGR of 44.3%.

ChronoScale (symbol: CHRN) is positioned to capitalize on the burgeoning demand for specialized artificial intelligence (AI) compute infrastructure, with several key drivers expected to fuel its revenue growth over the next 2-3 years.

Here are 3-5 expected drivers of future revenue growth for ChronoScale:

1. Accelerated Growth in Demand for AI-Optimized GPU Cloud Infrastructure: ChronoScale is being established to meet the "rapidly accelerating demand for GPU-powered cloud infrastructure supporting advanced AI workloads". The market for high-performance compute resources tailored for AI training and inference is experiencing significant expansion, and ChronoScale aims to address this "capacity-constrained market" by providing purpose-built solutions.
2. Differentiation Through Dedicated, Purpose-Built AI Compute Platforms: The company is designed to offer a distinct advantage over generic cloud environments by providing "predictable performance, infrastructure control, and rapid deployment". ChronoScale will deliver "dedicated, customizable, single-tenant clusters for AI workloads," which is a critical need for enterprises and AI-native customers seeking consistent performance and control for demanding AI training jobs. This specialization is expected to attract a targeted customer base.
3. Leveraging Applied Digital's Proven Operational Foundation and Infrastructure: ChronoScale is set to benefit significantly from its strategic relationship with Applied Digital, leveraging its "mature Applied Digital Cloud business to rapidly deploy and scale next-generation GPU-based compute infrastructure". Applied Digital's cloud segment, prior to the ChronoScale spin-out, had already generated approximately $75.2 million in trailing twelve-month revenue as of August 31, 2025, and was recognized for its early deployment of NVIDIA H100 GPUs at scale. This established operational credibility and access to large-scale data center facilities will be a key enabler for ChronoScale's growth and customer acquisition.
4. Strategic Alignment with Applied Digital's Expanding AI Factory Campuses: ChronoScale is expected to gain from its "strategic alignment with Applied Digital's expanding portfolio of purpose-built AI factory campuses". This partnership provides advantageous access to the necessary infrastructure, which will "accelerate deployment timelines and aims to reduce execution risks as GPU demand continues to scale". This ensures a robust and scalable foundation for ChronoScale's service delivery.
5. Addressing Persistent GPU Supply Shortages with Dedicated Capacity: The formation of ChronoScale directly tackles the prevalent issue of "persistent GPU shortages" in the market by offering dedicated compute capacity. By providing a focused platform for GPU-accelerated cloud infrastructure, ChronoScale is well-positioned to serve organizations that face challenges in securing high-performance compute resources, thereby driving revenue in a supply-constrained environment.