
Axe Compute executives said the company is still in the early stages of its transition into AI compute infrastructure, with first-quarter results reflecting limited revenue from the new business but a growing backlog of contracted and potential deals.
On the company’s Q1 2026 investor presentation, Chief Executive Officer Chris Miglino said Axe Compute is positioning itself as a partner for enterprises that need access to GPUs, data center power and customized AI infrastructure without waiting for capacity from traditional providers. Miglino said customers are seeking “any kind of GPU, any location, any configuration” matched to specific workloads, rather than accepting available capacity on a provider’s terms.
First-quarter loss included digital asset mark-to-market impact
Yaukey-Witter said the company’s reported net loss for the quarter ended March 31, 2026, was $7.7 million, or $0.36 per share, based on a weighted average share count of approximately 21.2 million shares. He emphasized that a substantial portion of the loss was non-cash, driven by accounting treatment for the company’s digital asset holdings.
Axe Compute recorded $4.3 million in losses on digital assets during the quarter. Yaukey-Witter said the company’s Aether token holdings are carried at fair value under U.S. GAAP, with changes reflected in the income statement. The price of the Aether token declined during the quarter, resulting in the non-cash mark-to-market loss.
Excluding that fair value adjustment, Yaukey-Witter said the company’s underlying operating loss was approximately $3.4 million, reflecting its cost structure during the transition toward compute services.
Total operating costs and expenses were $3.5 million in Q1 2026, up from $2.4 million in Q1 2025. General and administrative expenses totaled $2.9 million, an increase of about $1.1 million from the prior-year period. Yaukey-Witter attributed the increase primarily to a one-time severance expense related to the departure of the former CEO in February and the board’s appointment of Miglino, along with other personnel-related costs.
Cash declined as company funded transition
Axe Compute ended the quarter with $6.9 million in cash and cash equivalents, down from $10.8 million at Dec. 31, 2025. Cash used in operating activities was $3.7 million, compared with about $1 million in Q1 2025. Yaukey-Witter said the higher use of cash reflected working capital needs, payment of accounts payable and accrued expenses, and higher cash operating expenses tied in part to professional services following the company’s adoption of its treasury strategy in late 2025.
The company’s digital asset holdings had a fair value of $20.2 million at quarter-end, down from $24.4 million at the end of 2025. Axe Compute also reported a digital asset receivable with a fair value of $15.4 million, representing its contractual right to receive additional Aether tokens under time-based vesting conditions through December 2028. Of that amount, $9.4 million was classified as current.
Total assets were $45.2 million at March 31, down from $52.9 million at year-end. Total liabilities were $5 million, and stockholders’ equity was $40.3 million.
$260 million compute deal expected to drive future revenue
Miglino highlighted a $260 million contract announced in April, describing it as the largest contract in the company’s history and an example of the model Axe Compute expects to pursue. The 36-month agreement covers 2,304 NVIDIA B300 GPUs, supported by 4.8 megawatts of dedicated N+1 redundant power in a U.S. Tier III data center.
The targeted deployment is Q3 2026, and Miglino said the build is underway, with machines ordered, power allocated and hardware being deployed. He said the customer will pay monthly in advance regardless of utilization under a committed arrangement. The first financial installment is expected this month and was described by Miglino as “very substantial.”
Once the cluster goes live, Miglino said the contract is expected to translate into approximately $21 million per quarter in revenue over the 36-month term, subject to the timing of launch within a given quarter.
Miglino said Axe Compute’s model involves sourcing and matching GPUs, securing data center capacity and supporting infrastructure, and helping arrange financing for build-outs. He said customer arrangements typically include monthly advance payments and, in some cases, upfront prepayments of 15% to 30%.
Management says pipeline exceeds $4.3 billion
President Kyle Okamoto said Axe Compute is pursuing two customer engagement tracks: immediate access to available compute and larger dedicated cluster builds. He said many customers first use the company’s existing compute network for faster access, with some able to start in as little as 24 to 48 hours. Larger customers, he said, are seeking dedicated infrastructure in specific locations with longer-term commitments.
Okamoto described the company’s “Ax Build” delivery model as a full infrastructure partnership that includes architecture design, financing, hardware procurement, data center space and power, deployment, support and potential upgrade paths during the term. He said Axe Compute funds the build and provides customers an operating expense model rather than requiring them to bring their own capital expenditures.
Okamoto said the company’s advanced pipeline includes a sampling of about 45 qualified prospects representing more than 36,000 GPUs. Roughly 72% of those requests, or about 26,000 GPUs, are for Blackwell-related systems, including B200s, B300s, GB200s and GB300s. He said the pipeline represents more than $4.3 billion in total contract value.
Okamoto cautioned that the pipeline consists of qualified prospects, not signed contracts, and said not all opportunities will close. He added that many prospective deals involve 36- and 60-month commitments, reflecting enterprise demand for long-term AI infrastructure.
CFO transition completed during call
The call also marked the transition from outgoing Chief Financial Officer Josh Blacher to Yaukey-Witter. Blacher said he had served as CFO since September 2023 and that this would be his final earnings call. Yaukey-Witter, who previously served as the company’s controller, said he has been with Axe Compute for three years and previously worked at KPMG.
In closing remarks, Miglino said the first-quarter numbers were “not representative of the business itself” because the company’s AI compute model is only beginning to affect its income statement, cash flow and balance sheet. He said management expects the model to become more visible in the second and third quarters of the year.
About Predictive Oncology (NASDAQ:POAI)
Predictive Oncology, Inc is a biotechnology company that leverages artificial intelligence and digital biology to support drug discovery and development in oncology. Its core business revolves around the application of machine learning algorithms to high-content cellular imaging, multi-omic profiling, and clinical response data. By integrating these diverse data streams, the company aims to generate predictive models that forecast the efficacy and toxicity of candidate therapeutics, thereby accelerating preclinical decision-making and reducing development timelines.
The company’s primary offerings include its Phenomics platform, which combines automated microscopy with advanced image analysis to capture subtle phenotypic changes in cancer cells.
