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ChronoScale Holdings Corporation serves AI and machine-learning developers through its subsidiary Cloud. It supplies computing equipment and rents data-center space and power from third-party operators. Together AI pays monthly for dedicated NVIDIA H100 infrastructure at a fixed rate per GPU-hour. Cloud brings in nearly all of the company’s revenue; ChronoScale plans to sell its Legacy Ekso business to focus on Cloud.
As of May 2026, Together AI was Cloud’s only customer and used capacity across all its operating sites. The business therefore depends heavily on Together AI continuing its agreement, NVIDIA supplying GPU chips, and data-center operators providing space and electricity.
ChronoScale also has a GPU services agreement with Microsoft that requires it to procure, install and deliver NVIDIA GB300 clusters at a dedicated facility. This is a deployment commitment, not an established revenue stream described here: delivery depends on additional financing, equipment availability and facility readiness. Missed deadlines can trigger credits, termination and refunds. Sanctions and export controls can also restrict equipment sourcing and sales to international customers.
The risk section is the longest, dullest part of the filing. This keeps only what can really hurt you: where it hits, how hard, when it plays out.
Every company claims an edge. Each one is checked against hard numbers like margins and returns: which hold, and which line gives way first.
ChronoScale’s results hinge on keeping Together AI, its sole fiscal 2026 revenue customer, and financing and delivering the GPU capacity promised to Microsoft.
Applied Digital owns approximately 96% of ChronoScale and consolidates its results, so ChronoScale’s cloud performance feeds into its parent’s accounts. Applied Digital also leases and hosts AI data-center capacity for large cloud and compute customers; its progress securing power and grid connections speaks to a key constraint on the infrastructure behind GPU clouds.
CoreWeave competes with ChronoScale for AI customers paying to use GPU infrastructure to train and run models. Its contracts with AI labs, enterprises and technology companies are worth watching for where those customers commit their cloud spending.
Nebius Group and ChronoScale compete for developers paying for GPU cloud capacity to train and run AI models. Nebius bundles that compute with storage, managed services and software tools, making its AI cloud offering the part to watch rather than its other businesses and investments.
Microsoft is both a customer buying dedicated NVIDIA GB300 GPU capacity from ChronoScale and a rival selling cloud services through Azure. ChronoScale must finance and deliver the contracted clusters on schedule; delays can bring daily credits, termination and refunds, making delivery milestones crucial to its cash position.
ChronoScale depends on NVIDIA, its sole major GPU supplier, for the chips powering the cloud capacity it sells to AI developers. NVIDIA’s H100 GPUs underpin Together AI’s dedicated infrastructure, so GPU supply news matters directly to ChronoScale’s service capacity.
Oracle’s cloud infrastructure competes with ChronoScale for customers paying for AI computing capacity. Watch Oracle’s cloud offering and pricing: ChronoScale warns that rivals’ faster development and aggressive pricing can hurt its ability to generate income and fund development.
Microsoft Corp earningsMSFT
Microsoft buys dedicated GPU capacity from ChronoScale and competes through Azure, so its report can show the cloud-computing demand both businesses face.
Look at Microsoft’s reported Azure business and cloud-infrastructure investment. Continued cloud growth and investment would indicate that large customers are still expanding computing capacity, a supportive demand backdrop for ChronoScale; weaker growth or reduced investment would put customer expansion and Azure competition more in question. These figures would not establish whether Microsoft is meeting its delivery milestones with ChronoScale.
CoreWeave, Inc. earningsCRWV
CoreWeave and ChronoScale both rent GPU capacity to AI customers, so CoreWeave’s contracts and customer spending will show the strength of demand and competition in that market.
Look at CoreWeave’s disclosed customer contracts or commitments alongside pricing and revenue for its cloud services. More commitments with prices holding would show that customers still spend on GPU cloud capacity, though CoreWeave may also win customers from ChronoScale; weaker commitments or pressured pricing would point to a less favorable demand or competitive environment, making ChronoScale’s reliance on one customer harder to offset with market growth.
Nvidia Corp earningsNVDA
ChronoScale relies on NVIDIA GPUs for its cloud capacity, so NVIDIA’s supply and demand will matter to ChronoScale’s ability to equip and deliver capacity on schedule.
Look at NVIDIA’s comments on GPU demand, supply and delivery, especially for the H100s ChronoScale has deployed and the GB300s involved in its Microsoft contract. Supply keeping pace with demand would make it easier for ChronoScale to install equipment and provide customer capacity; constrained supply or delays could obstruct expansion and delivery while facility costs continue. NVIDIA’s overall results would not prove that ChronoScale has received a specific allocation.
ChronoScale Holdings Corporation earningsThis company
ChronoScale earns most of its revenue by charging customers for GPU computing capacity, and this report will show whether that income can support its facility and expansion costs.
Read GPU-services revenue alongside cash from operations. Stable or rising revenue and operating cash would show that paid customer use is supporting rented facilities and day-to-day operations; weaker revenue, or operating cash absorbed by fixed costs and expansion, would show that single-customer exposure and funding pressure remain heavy.
Applied Digital Corporation earningsAPLD
Applied Digital owns ChronoScale and operates data-center businesses, so its reported progress on power and grid connections will offer a read on a key constraint to GPU infrastructure growth.
Look at Applied Digital’s reported power and grid-connection progress alongside capacity development in its data-center business. Progress would suggest that a basic requirement for GPU infrastructure expansion is becoming more available and offer context on the parent’s operating environment; continuing delays would show how power constraints can slow capacity growth. Applied Digital’s progress does not establish readiness at ChronoScale’s rented sites in Colorado, Minnesota and Utah.
