HIVE Digital Technologies’ Executive Chairman Frank Holmes said the company’s artificial intelligence (AI) compute business is delivering substantially higher hourly revenue than its bitcoin mining operations, coinciding with a 158% surge in fiscal 2026 revenue to $297.8 million.
AI GPUs Out-earning Bitcoin Mining Rigs
Speaking during the Roundtable 100 series earlier this week, Holmes said HIVE’s AI compute GPUs are generating roughly 10 times more revenue per hour than its bitcoin mining rigs. The comment underscores the company’s ongoing push into high-performance computing (HPC) for AI workloads, where demand for GPU capacity has remained elevated across training and inference use cases.
The comparison highlights the growing divergence in economics between general-purpose GPU compute and specialized bitcoin mining hardware, with AI-focused infrastructure commanding premium utilization rates and pricing in the current market.
Fiscal 2026 Revenue Jumps 158%
HIVE reported fiscal 2026 revenue of $297.8 million, up 158% year over year. The performance aligns with the company’s strategy to diversify beyond traditional bitcoin mining by expanding its GPU-based compute services.
- Executive commentary: AI GPUs generating materially higher hourly revenue than mining rigs.
- Financials: Fiscal 2026 revenue reached $297.8 million, a 158% increase.
- Event: Remarks delivered during the Roundtable 100 series.
Industry Context
Crypto mining firms have increasingly redeployed or expanded GPU fleets for AI and HPC workloads as demand for compute capacity accelerates. The shift comes amid tighter mining economics following the 2024 bitcoin halving, which reduced block rewards and increased the importance of operational efficiency and diversified revenue streams. AI-focused data center services offer miners an alternative pathway to monetize power and infrastructure.
What to Watch
- Utilization and pricing: Trends in GPU capacity bookings and hourly rates for AI workloads.
- Expansion plans: Additional data center buildouts or hardware acquisitions to scale AI services.
- Cost dynamics: Power prices, cooling efficiency, and fleet mix affecting margins across AI and mining segments.
- Market conditions: Bitcoin price, network difficulty, and broader AI compute demand.