A company best known for mining Bitcoin has put more than $250 million into large computer facilities in Paraguay, beside one of the world’s biggest hydroelectric dams.
The bet is that cheap, clean electricity can power the computers behind artificial intelligence tools. The site already uses electricity on the scale of a city, and the company plans to grow it by a third.
The catch is that cheap power is only the start. Artificial intelligence customers also want backup systems, fast internet links and fewer outages, and the company is still building those.
Crypto Briefing reported that HIVE Digital Technologies, a Nasdaq-listed Bitcoin miner, has committed more than $250 million to data centers in Paraguay over the past 18 months as part of a push to build an AI hub there. The sites sit near the Itaipú hydroelectric dam and currently run at 300 megawatts (MW) of capacity. Including energy procurement and infrastructure costs, HIVE’s total commitments exceed $400 million.
HIVE plans to raise capacity to 400 MW at its Yguazú facility, with a third-quarter 2026 target. It calls the next stage of the sites “Tier 3 AI factories.” HIVE produces about 8.5 bitcoin per day, says it exports compute capacity to the United States, and reports adding more than 300 jobs in Paraguay, 40 of them engineering roles.
Executive Summary
HIVE Digital Technologies is turning a hydro-powered Bitcoin mining footprint in Paraguay into what it hopes will become an AI compute hub. The spending is substantial for a company of HIVE’s size: more than $250 million on data centers and more than $400 million once power procurement and supporting infrastructure are included, all concentrated in one country.
The detail that matters most for AI buyers is the description of the facilities themselves. HIVE’s existing sites are described as Tier 1, the most basic data center class, built without redundant power or cooling paths. Its own label for the next stage, Tier 3, is the class most enterprise and cloud customers expect. That gap between what exists and what AI tenants typically require is the real story behind the headline dollar figure.
Paraguay offers what many U.S. data center markets now struggle to supply: large blocks of available, renewable electricity. The open question is whether HIVE can add the redundancy, connectivity and contracted customers that turn cheap megawatts into rentable AI capacity.
Tier 1 to Tier 3: The Upgrade That Turns Power Into an AI Product
Data center tiers, a classification system popularized by the Uptime Institute, describe how resilient a facility is. A Tier 1 site has a single path for power and cooling and no redundant components, so maintenance or a single equipment failure can take machines offline. A Tier 3 site is “concurrently maintainable”: any component can be serviced without shutting down the computing load, because there are redundant power and cooling paths.
For Bitcoin mining, Tier 1 is a rational choice. Mining rigs can be switched off and on with little consequence beyond lost output, and many miners deliberately curtail during grid stress. AI customers renting GPU capacity are a different buyer. They pay for guaranteed availability, often under service-level agreements, and an interrupted training run or an unavailable inference endpoint has real costs. HIVE’s own description of its next phase as “Tier 3 AI factories” concedes the point: the 300 MW running today is power-rich infrastructure, not yet the class of facility most AI tenants contract for.
That reframes the spending. The gap between the $250 million data center figure and the more-than-$400 million total reflects energy procurement and infrastructure, and the Tier 1-to-Tier 3 conversion adds redundant electrical systems, backup capacity and, for dense GPU racks, cooling that mining halls were never designed for. Some large-scale training workloads tolerate less redundancy than enterprise inference does, so the mix of tenants HIVE targets will determine how much of the site needs the full upgrade. Either way, the people affected are HIVE’s capital budget, the contractors and equipment suppliers who would build the upgrade, and any AI tenant weighing whether the site meets its uptime requirements.
Cheap Hydro Solves the Scarce Input, Not the Distance
Power has become the binding constraint on AI data center construction in many U.S. markets, where new large loads can wait years for grid connections. Paraguay inverts that problem. Its share of the binational Itaipú dam, which it co-owns with Brazil, gives the country far more hydroelectric output than it consumes domestically, and HIVE’s site sits next to that supply. For a company competing on cost per megawatt, that is a genuine advantage.
Distance is the trade-off. Paraguay is landlocked, so international fiber routes must cross neighboring countries before reaching subsea cables to North America. That matters less for model training, which runs for days or weeks and is insensitive to a few extra milliseconds, than for inference, where users and applications expect fast responses. HIVE says it is already exporting compute capacity to the United States; how that capacity is delivered, and for which workloads, will determine whether the site competes for training jobs only or can serve latency-sensitive customers too.
A Single-Country Bet Funded Partly by Mining
With total commitments above $400 million, HIVE has concentrated a large share of its future in one country’s grid, regulatory environment and politics. The company has emphasized local benefits, including more than 300 jobs, 40 engineering roles and education programs supplying Starlink connectivity and computers to schools, and its investment preceded recent diplomatic activity between the U.S. and Paraguay. Those factors may support its standing locally, but they do not substitute for long-term power contracts and regulatory certainty.
The roughly 8.5 bitcoin per day HIVE produces gives it operating cash flow during the transition, but also creates an allocation question. Every megawatt converted to AI hosting is a megawatt no longer mining. Several listed miners have made a similar pivot toward AI and high-performance computing hosting, and the ones that have convinced investors are generally those that announced contracted tenants. Until HIVE discloses how its Paraguay capacity splits between mining and AI, the AI hub remains an ambition backed by power and real estate rather than by signed demand.
Background
HIVE Digital Technologies, formerly HIVE Blockchain Technologies, is a Nasdaq-listed company that built its business mining cryptocurrency and has since repositioned toward AI and high-performance computing. Executive Chairman Frank Holmes has been a leading voice for the company’s Paraguay strategy. HIVE entered the country in 2025 by acquiring a hydro-powered site from Bitfarms, and expanded it to 300 megawatts within roughly 18 months.
Paraguay’s electricity comes overwhelmingly from hydropower, much of it from the Itaipú dam it shares with Brazil. That surplus of low-cost renewable power has made the country attractive to Bitcoin miners, and now to companies hoping to convert mining infrastructure into AI data centers, a shift several listed miners have attempted as AI demand has outpaced available power in established data center markets.
A company best known for mining Bitcoin has signed a deal worth 350 million US dollars over five years to rent out computing power for artificial intelligence.
The company, HIVE Digital Technologies, runs warehouses full of computers, largely on renewable electricity. It is steadily pointing those machines at artificial intelligence work instead of Bitcoin.
Why it matters: the deal promises roughly 70 million dollars a year, about double what HIVE’s artificial intelligence business brings in today. The hard part now is getting the machines installed and running on schedule.
scanx.trade reported that BUZZ High Performance Computing Inc. (“BUZZ HPC”), the wholly owned subsidiary of HIVE Digital Technologies Ltd. (TSX: HIVE; Nasdaq: HIVE), has signed a $350 million, five-year AI cloud services agreement — a contract that would supply GPU compute capacity, the specialised processors used to train and run artificial-intelligence models, on a multi-year committed basis rather than by the hour.
The deal arrives in an unusually dense month of disclosure for HIVE. In an 8-K filed September 16, the company told investors that on August 21, 2026 it exceeded $1 million in combined average daily revenue from Bitcoin hashrate and GPU cloud services, with the GPU cloud business contributing roughly $100,000 of that per day. A second 8-K, filed September 17, disclosed a partnership between BUZZ HPC and Vancouver-based applied-AI firm ProCogia announced on September 16.
Executive Summary
A $350 million contract with a five-year term is a different financial object from a GPU rental business. Spot and short-term GPU capacity is priced like a commodity and repriced constantly; a dated multi-year agreement converts that capacity into something closer to a lease — a revenue line with a start date, an end date and a counterparty obligation behind it. For HIVE, which spent years as a Bitcoin miner monetising renewable power through a volatile, unhedged commodity, that distinction is the whole point of the BUZZ HPC strategy.
The scale is worth measuring carefully in both directions. Against HIVE’s disclosed GPU cloud run-rate of about $100,000 per day — roughly $36.5 million annualised, per the company’s September 16 filing — the contract’s straight-line average of $70 million a year is roughly double the entire AI segment as it stands. Against the whole company, which HIVE says has been running above $1 million in combined daily revenue, the same contract is smaller than a single year of current total revenue. It is transformative for one engine and incremental for the business overall.
What changes with a signed multi-year contract is the location of the risk. Demand risk falls; delivery risk rises. HIVE’s own forward-looking language in the September 17 filing names the exposure precisely: the ability to convert “signed total contract value into recognized revenue on the timing anticipated,” alongside “delays in equipment delivery or commissioning” and “capital availability.” Those are procurement, construction and financing problems, not sales problems.
The Arithmetic: What $350 Million Means in a $100,000-a-Day Business
Start with the two numbers side by side. HIVE disclosed in an 8-K filed September 16 that since August 21, 2026 its GPU cloud operations generated approximately $100,000 in average daily revenue. Annualised on a straight line, that is roughly $36.5 million. A $350 million agreement spread evenly across five years implies about $70 million a year. The contract, on its face, is worth close to twice the current annual run-rate of the business it is meant to feed.
That ratio is the operationally interesting part, because a contract that large relative to an existing book cannot be served out of spare capacity. It has to be built. Real contracts also rarely run straight-line: multi-year compute agreements typically ramp as racks energise, which means the revenue curve is back-weighted and the capital spend is front-weighted. Between signature and recognition sit accelerator delivery slots, power energisation, cooling and network commissioning, and the working capital to pay for hardware before the customer pays for capacity. HIVE says as much in its own risk disclosure, listing equipment delivery delays, commissioning delays and capital availability as the factors that could break the timing.
Who is affected downstream is concrete. Accelerator suppliers and system integrators gain a scheduled order rather than a speculative one. Electrical contractors, cooling vendors and interconnection counterparties — the utilities and operators who connect a site to the grid — get a date to work against. And lenders get what they have been asking for from this asset class: a named term and an amount, which is what makes GPU fleets financeable at something other than venture pricing. The flip side is that a dated contract removes the operator’s option to slip. A miner can idle machines when economics turn; a contracted AI host that misses a commissioning window is in breach, not merely idle.
Dual Engines, Different Risk: 12 Bitcoin a Day Versus Contracted Compute
HIVE’s September 10 release, furnished to the SEC on September 16, laid out the current mix plainly: approximately 12 Bitcoin per day, which the company put at roughly 2% of global Bitcoin network production, plus about $100,000 a day from GPU cloud, together exceeding $1 million in combined average daily revenue. On those figures the AI business is still well under a tenth of the top line. The $350 million contract does not reverse that overnight — but it changes the character of the revenue it adds.
Mining revenue is spot revenue. It moves with Bitcoin’s price, with network difficulty, and with the scheduled supply reductions built into the protocol, and no amount of operational skill hedges those. Contracted compute revenue is dated and, depending on structure, may be substantially insensitive to what the spot GPU market does over the same five years. That is the trade the entire miner-to-AI cohort is attempting: exchange high-velocity, high-variance cash generation for lower-variance, longer-duration cash flows that a lender will underwrite. HIVE’s own framing in the September 10 release — Bitcoin as a “high-velocity cash-generating foundation” funding a “recurring, contracted AI infrastructure business” — is an accurate description of the mechanism, and it is also an admission that the second engine is not yet self-financing.
The portfolio reallocation is already visible. HIVE said its Swedish Bitcoin mining operations represented less than 5% of global daily revenue during August and that it intends to wind down mining there while evaluating repurposing that infrastructure for HPC and AI. The candour of that number matters: it tells you the wind-down is a low-cost decision, not a painful one. It also warrants a caution the release does not dwell on. Repurposing a mining hall for AI is not a software change. Mining sites are built for cheap power, high temperature tolerance and thin redundancy; accelerated compute for enterprise customers needs denser power per rack, liquid or high-capacity cooling, carrier-grade networking and the uptime engineering implied by the Tier-III designation HIVE cites for BUZZ HPC. Some megawatts convert cheaply. Others are effectively a new build on an old plot.
Sovereign Compute Is the Sales Motion, Not Just the Slogan
The ProCogia partnership disclosed on September 17 shows how BUZZ HPC intends to fill capacity beyond a single anchor contract. ProCogia will procure dedicated GPU capacity in BUZZ HPC’s Canadian data centres to run its ZeroBoxx AI framework and vertical products — CallYeah, a voice-AI tool for healthcare providers, and PolyKode, a code-migration model for regulated environments — and will in turn act as a preferred applied-AI services partner to BUZZ HPC’s own customers, with the two intending to co-sell into the United States and Europe.
Read commercially, that is a channel strategy aimed at a specific buyer problem. “Sovereign” compute means infrastructure where the data and the processing stay inside a defined legal jurisdiction, which matters to healthcare, financial services and public-sector buyers governed by data-residency rules. Those buyers are also the ones least able to assemble an AI stack themselves, so bundling infrastructure with an applied-AI delivery partner addresses the real obstacle — nobody to build the thing — rather than just the rack. The hire of Mark Volk as BUZZ HPC’s Senior Vice President, Revenue, announced in the same September 10 release, fits the same thesis: an enterprise and government sales motion is a different discipline from selling hashrate.
The honest caveat is that the partnership discloses no dollar value, no committed capacity and no term, which places it in a different category from the $350 million agreement. Executive Chairman Frank Holmes referenced “a 400 MW coast-to-coast Canadian pipeline” — 400 megawatts being, very roughly, the electricity draw of a mid-sized city — but a pipeline is not energised capacity, and the release does not break it into secured power, sites under construction and sites under evaluation. Competition is real, too: the major cloud providers have been standing up in-country regions with sovereignty commitments of their own. BUZZ HPC’s argument is price and availability for Canadian companies that cannot get either, which is a defensible niche — and one that a five-year contract, if it converts on schedule, would do more to prove than any amount of positioning.
Background
HIVE Digital Technologies Ltd. (TSX: HIVE; Nasdaq: HIVE; BVC: HIVECO), headquartered in San Antonio, Texas, began as a Bitcoin miner built around low-cost renewable power and data centre operations. Its stated model is to convert electricity into compute and then sell that compute — historically as hashrate for the Bitcoin network, and increasingly as GPU capacity for artificial-intelligence workloads through its wholly owned subsidiary BUZZ High Performance Computing Inc.
That pivot is an industry-wide pattern. Miners already control three scarce inputs for AI infrastructure — secured power, energised sites and operational experience running large fleets of hot, dense hardware — while facing a commodity revenue stream that is volatile and periodically halved by protocol design. Converting megawatts to AI hosting trades that volatility for contracted, longer-duration cash flows, but requires heavier capital per megawatt and a customer base that demands uptime guarantees, data-residency assurances and enterprise service levels that mining never did.
