Tag: Cipher Digital

  • CoreWeave’s 16.5% Yields Reveal Two Price Tiers for AI Data Center Debt

    CoreWeave’s 16.5% Yields Reveal Two Price Tiers for AI Data Center Debt

    TL;DR · 30-second read

    The Short Version

    • Lenders got nervous this week about companies borrowing heavily to build data centers for artificial intelligence.
    • Investors now demand about 16.5 percent a year to hold bonds, essentially IOUs, from CoreWeave, a company that rents out computing power for artificial intelligence.
    • Rivals whose loans are backed by actual buildings and long rental contracts with big tech firms pay roughly half that.
    • That split matters: how cheaply a builder can borrow may now decide how fast these giant computer warehouses get built.

    Bonds issued by AI data center companies fell to fresh lows this week, PitchBook reported in an article republished by Morningstar on October 16. CoreWeave’s unsecured notes took the heaviest losses: its 9.75% senior notes due 2031 traded as low as 78 cents on the dollar on October 14, a 16.39% yield, after starting October near 85, while its $1.25 billion of 9.625% notes due 2032 fell to 75, a 16.5% yield, down from 103.625 on June 2. The two issues recovered to 83 and 80, respectively, on October 15.

    The trigger was Cipher Digital’s plan for a private offering of $850 million in zero-coupon convertible senior notes due 2032, with an option for initial buyers to take up to $150 million more. JPMorgan analysts then cut Applied Digital’s project finance bonds to Neutral from Overweight, citing a “supply overhang” as the company prepares to borrow billions more; Wall Street analysts estimate it may need another $8 billion in secured project debt. Applied Digital’s $1.59 billion of 7% senior secured notes due 2031 slipped to 94.5, a yield of about 8.44%.

    Executive Summary

    Data center bonds sank to new lows this week, and the selloff hit CoreWeave hardest, with its unsecured notes trading at yields above 16%. Cipher Digital’s planned $850 million zero-coupon convertible offering revived investor concern that AI infrastructure companies will need to borrow more than the market can comfortably absorb. Reuters framed the rout as a test of the market’s math on the AI buildout.

    The more telling detail is how uneven the damage was. Secured notes from Applied Digital, Cipher and CleanSpark, which give lenders a claim on specific assets, fell about a point or less and yielded roughly 7.17% to 8.44%. CoreWeave’s unsecured paper fell several points in days and nearly 29 points on one issue since June. The market is now pricing AI data center debt in two distinct tiers.

    For developers, hyperscalers and investors, the cost of financing the next building increasingly depends on the structure of the debt, the quality of the tenant behind it, and how much similar debt is coming to market at the same time. That makes credit terms a pacing factor, alongside power and equipment, in how quickly debt-funded AI capacity gets built.

    Two Price Tiers for the Same Buildout

    The clearest signal in this week’s trading is not that data center bonds fell, but how unevenly they fell. CoreWeave’s unsecured notes, debt backed only by the company’s general promise to pay, hit yields of 16.39% and 16.5% at their lows. Over the same stretch, secured notes from three other AI data center builders traded far tighter: Cipher Digital’s 7.125% senior secured notes due 2030 at roughly 7.17%, CleanSpark’s 7.875% senior secured green notes at 8.18%, and Applied Digital’s 7% senior secured notes due 2031 at about 8.44%. That is a gap of roughly eight to nine percentage points between companies financing the same kind of infrastructure.

    The price moves tell the same story. CoreWeave’s 9.625% notes due 2032 have fallen nearly 29 points since June 2, from 103.625 to a low of 75, and its 9.75% notes due 2031 lost about 7 points in the first two weeks of October. Cipher’s and CleanSpark’s secured bonds each gave up 0.75 points on the news; Applied Digital’s fell 1.125 points. A bond’s price and yield move in opposite directions: a buyer paying $75 for a note that repays $100 collects the coupon plus the $25 discount, which lifts the effective annual return well above the stated interest rate.

    The mechanism is collateral. A secured noteholder has a claim on specific assets, such as buildings, equipment and the leases that generate rent, if the borrower fails; an unsecured holder stands in line with other general creditors. Part of CoreWeave’s spread reflects company-specific concern about servicing a large debt load, so structure alone does not explain the whole gap. But any developer deciding how to fund its next building now faces two very different quoted prices for capital, and the unsecured one is roughly double.

    What Buys the Lower Rate: Contracts, Collateral, Completed Megawatts

    Applied Digital’s October 7 results release, filed with an 8-K, shows what lenders are paying for in the cheaper tier. The company signed a 210-megawatt, 15-year lease at its Delta Forge 2 campus with what it describes as a tier-one, investment-grade hyperscaler, one of the very large cloud and internet companies, representing about $5.2 billion of base-term contracted revenue. In June it closed $1.59 billion of 7% senior secured notes at par through subsidiary APLD ComputeCo 3 LLC to fund a 150-megawatt third building at its Polaris Forge 1 campus and repay a $300 million bridge loan. Megawatts here measure the electrical load the computing equipment draws, the industry’s standard unit of data center size.

    The company is also delivering capacity. On October 1 it brought the second 75 MW phase of Building 2 at Polaris Forge 1 online, taking the campus to 250 MW of fully operational load across two buildings and 10 data halls, and it expects 300 MW across its North Dakota campuses by the end of calendar 2026. Fiscal first-quarter revenue reached $341.9 million, up 322% year over year, alongside a $221.0 million net loss attributable to common stockholders and adjusted EBITDA (earnings before interest, taxes, depreciation and amortization) of $64.4 million, a non-GAAP figure that excludes majority-owned ChronoScale. Secured project lenders lean primarily on the specific asset and its tenant rather than on that consolidated income statement.

    Even this tier is not immune. Applied Digital’s 7% notes have slid from around 99 in early August to 94.5. JPMorgan’s downgrade did not question the leases; it cited a looming supply overhang, meaning the expectation of a large volume of similar new debt. Analysts’ estimate of roughly $8 billion in additional secured project borrowing is the point: when buyers expect a wave of new bonds, existing ones tend to cheapen so the new issues can clear. The cheaper tier’s price depends on how much of it the industry tries to sell at once.

    Cipher’s Convertible Shifts the Bill to Shareholders

    Cipher Digital’s financing shows the other route around expensive unsecured debt. A zero-coupon convertible pays no regular cash interest; instead, holders can convert the notes into shares under set terms. The company preserves cash, but the cost shifts to existing shareholders through potential dilution. Cipher also plans to exchange part of its 1.75% convertible notes due 2030 for common stock, and it pledged part of the proceeds to capped call transactions, a hedge meant to reduce dilution if the shares rise.

    Equity investors were not reassured. The stock fell to a six-month low, and Morgan Stanley trimmed its price target to $51.50 from $54.00 while keeping an Overweight rating. Cipher’s secured bondholders, by contrast, barely reacted, with the 7.125% notes due 2030 slipping 0.75 points to 99.875. The pattern is consistent with the two-tier reading: creditors with collateral absorbed little of the shock, while shareholders and unsecured lenders carried most of it. Convertibles are a release valve for builders, but the share-price response shows that valve has a price of its own.

    Is Credit Now the Pacing Item?

    The pipelines that need funding are large. Beyond its North Dakota campuses, Applied Digital has secured up to about 1 gigawatt of potential power capacity in Finland and signed a power purchase agreement for capacity and energy from an approximately 1,200 MW natural gas plant that Base Electron is to develop in North Dakota. Projects like these require capital well before rent arrives, and a project that works financially at an 8% cost of debt can look very different at 16%.

    The evidence supports a narrower conclusion than “credit is closing.” The market remains open: CleanSpark priced $2.276 billion of secured notes last month, Applied Digital closed $1.59 billion at par in June, and Cipher is launching an $850 million offering now. What has changed is selectivity. Lenders are discriminating by collateral, by contracted tenant, and by the volume of issuance in the pipeline. Sentiment also tracks end demand: good news from Meta, a CleanSpark client, including early third-party retention data for its Muse assistant, helped limit CleanSpark’s bond losses.

    One week of trading is not a trend, and CoreWeave’s notes recovered several points on October 15. But the groups most exposed are clear: unsecured issuers, developers without signed investment-grade leases, and the hyperscalers that rely on third-party builders for capacity. Whether higher financing costs for the riskier tier pass through to lease rates, slow delivery schedules, or push more borrowers into secured project structures is the question to watch over the coming quarters.

    Background

    Over the past few years, a group of companies has emerged to build and rent out the specialized data centers that AI systems require. CoreWeave is a so-called neocloud, a cloud provider focused on renting out AI computing capacity. Cipher Digital, a former bitcoin miner, and CleanSpark, a bitcoin miner accelerating its transition toward AI data center buildouts, are repositioning toward high-performance computing (HPC) and AI hosting. Applied Digital designs, builds and operates large purpose-built campuses centered on North Dakota, and it consolidates ChronoScale, a majority-owned public company running its historic cloud business, which has announced plans with Microsoft for a 50 MW AI compute deployment.

    Much of this buildout is financed with debt, including unsecured corporate bonds, secured project notes tied to specific campuses, and convertible notes, which is repaid over years from rent or compute revenue. That makes the bond market a direct input into how much AI capacity gets built and how quickly, and it is why moves in these companies’ bond prices are closely watched by developers, tenants and investors alike.

    Sources

    Source: CoreWeave and Data Center Bonds Slide on Capex and Debt Overhang Concerns (Morningstar, originally published by PitchBook), on this week’s selloff in CoreWeave and data center developer bonds. See also Reuters, CoreWeave bond rout tests market’s math on AI buildout.

    Primary sources: Applied Digital Reports Fiscal First Quarter 2027 Results (Exhibit 99.1 to Form 8-K, October 7, 2026); Applied Digital Form 8-K, filed October 7, 2026; Applied Digital Form 10-Q for the quarter ended August 31, 2026, filed October 7, 2026.

  • Miners’ $1.5B Hashrate Loss Shows the AI Pivot Keeps the Power, Not the Machines

    Miners’ $1.5B Hashrate Loss Shows the AI Pivot Keeps the Power, Not the Machines

    TL;DR · 30-second read

    The Short Version

    Companies that mine Bitcoin have spent years building huge, power-hungry computer warehouses. Many now want to rent that electricity and space to artificial intelligence companies instead.

    The catch is that Bitcoin mining machines can only mine Bitcoin. In the first half of 2026, publicly listed miners lost mining machines worth about $1.5 billion, as Bitcoin prices fell and some sites switched to AI-style computing.

    The takeaway: in these businesses, the valuable part is the power hookup and the land. The machines are what gets thrown away.

    Tokenpost reported, in an item carried by Pluang on October 4, 2026, that publicly traded Bitcoin miners lost about 75 exahashes per second (EH/s) of mining capacity in the first half of 2026, equipment valued at roughly $1.5 billion. Exahashes per second measure how many guesses a mining fleet makes at the Bitcoin network’s puzzle each second; 75 EH/s is a large slice of the public miners’ combined fleets.

    The report ties the decline partly to miners such as Cipher Digital moving away from mining and toward high-performance computing (HPC), the dense, GPU-based computing used for AI training and inference, which has produced significant impairment charges. Separately, Core Scientific reported $266.5 million in equipment write-downs, which it attributed to lower Bitcoin prices and reduced mining revenue.

    Executive Summary

    The headline figure is a price tag on retirement. About 75 EH/s of mining capacity, worth roughly $1.5 billion in equipment, left public miners’ fleets in six months. Some of it was retired because Bitcoin’s economics weakened, and some because operators decided their power and sites would earn more hosting AI hardware than running mining rigs.

    That matters to anyone building or financing AI infrastructure. Bitcoin miners control a meaningful pool of already-energized industrial sites, the scarcest input in today’s AI data center buildout. The write-downs show what those sites cost to free up. The specialized mining hardware on them has little use outside Bitcoin, so it is written down, sold or scrapped, while the grid connection, land and electrical infrastructure carry forward into the new business.

    The numbers also carry a caution. Not all of the $1.5 billion is an AI cost. Core Scientific’s $266.5 million charge, the largest named figure, was attributed to falling Bitcoin prices, not to conversion. Readers should treat the total as a mix of cyclical mining losses and deliberate strategic exits.

    Why the Rigs Go and the Power Stays

    A Bitcoin mining rig is built around an ASIC, an application-specific integrated circuit. It is a chip designed to do one calculation, Bitcoin’s SHA-256 hash, extremely efficiently, and it can do nothing else. It cannot train a language model or serve AI queries. When a miner decides a site is worth more as an AI facility, the rigs have no role in the new business. Their book value has to be written down to what they will realistically fetch, which is the impairment charge the report describes at Cipher Digital.

    What carries over is everything around the machines: the utility interconnection, the substation, the land, the permits and the high-voltage electrical gear. For AI tenants those are the hard parts. New large grid connections in many US markets can take years to secure. A miner that already holds hundreds of megawatts of energized capacity has something an AI cloud provider cannot quickly build. The conversion trade is therefore asymmetric: the asset with a long lead time is kept, and the asset with a short life and a single purpose is discarded.

    The arithmetic makes the trade concrete. Roughly $1.5 billion across 75 EH/s implies about $20 million per exahash, or around $20 per terahash, of equipment value leaving the sector. For a converting miner, that is part of the entry cost of the AI business. It sits alongside the far larger spending needed to rebuild halls for liquid cooling and the much higher rack power densities that GPU clusters demand.

    Two Write-Downs, Two Different Causes

    The report groups two different phenomena under one number, and they should be separated. Cipher Digital’s charges are described as linked to the move toward HPC, a strategic decision to redeploy a site. Core Scientific’s $266.5 million in equipment write-downs is attributed to lower Bitcoin prices and reduced mining revenue, a cyclical decline in what its mining fleet can earn, regardless of any AI plans.

    That distinction matters for interpretation. If most of the $1.5 billion reflects Bitcoin’s weaker economics, the figure says more about mining profitability than about the cost of the AI pivot. The two forces also reinforce each other: when mining margins thin, the case for converting a site strengthens, and when a site is earmarked for conversion, the rigs on it lose their future cash flows. The aggregate figure does not show how the losses split between those causes.

    Impairments are also non-cash. They reduce reported earnings and the value of assets on the balance sheet, but they do not drain the bank account in the quarter they are booked. The cash was spent when the rigs were bought. The charge acknowledges that the spending will not be recovered at the original rate. The decisions that matter for cash come next: the capital spent to convert sites, and the lease revenue that conversion brings in.

    What It Means for AI Builders, Miners and Investors

    For AI developers and cloud providers hunting for power, retiring mining capacity is a supply signal. Every exahash taken offline for conversion frees electrical load that could, after rebuilding, host GPU clusters. Miners with large, well-located interconnections become potential landlords, and their negotiating position rests on the scarcity of that power rather than on their mining history.

    For miners that keep mining, retirements by rivals can help at the margin. Bitcoin’s protocol adjusts the difficulty of its puzzle roughly every two weeks to keep block times steady. When aggregate capacity falls, each remaining machine earns a larger share of rewards. That cushion depends on what happens network-wide, not only among public companies, and it does not offset a falling Bitcoin price.

    For investors, the report’s own framing is apt: the financial outcomes of conversion are uncertain. A write-down records the cost of leaving mining. It says nothing about whether a site will land a creditworthy tenant, on what terms, or when revenue starts. The pivot’s value is realized only when signed, energized leases replace the mining revenue the impaired rigs once produced.

    Background

    Bitcoin mining is the process of running specialized computers to secure the Bitcoin network in exchange for newly issued bitcoin and transaction fees. Large US public miners built fleets of hundreds of thousands of ASIC rigs at industrial sites chosen for cheap, abundant electricity. Their revenue rises and falls with Bitcoin’s price and with the network’s total computing power. The network also cuts the new-bitcoin reward in half roughly every four years, most recently in April 2024.

    Since the AI boom created a scramble for powered data center capacity, several miners have repositioned as infrastructure landlords. Core Scientific, one of the largest US public miners, has signed hosting agreements with AI cloud provider CoreWeave. Cipher Digital, which reports to the SEC as a public company and filed a Form 8-K current report on September 25, 2026, is among the miners shifting toward high-performance computing.

    Sources

    Source: Bitcoin miners lost $1.5B in mining capacity in H1 2026 amid shift to high-performance computing (Pluang, via Tokenpost): public miners shed about 75 EH/s of capacity as some, including Cipher Digital, move toward HPC, and Core Scientific reported $266.5 million in equipment write-downs.

    Primary sources: Cipher Digital, Form 8-K filed September 25, 2026 (SEC EDGAR).

  • Cipher’s $5.2B Barber Lake Extension Puts a Price on an AI Site’s Second Decade

    Cipher’s $5.2B Barber Lake Extension Puts a Price on an AI Site’s Second Decade

    TL;DR · 30-second read

    The Short Version

    Cipher Digital, a company that started out mining bitcoin, has signed a second tenant for its giant computer warehouse in Colorado City, Texas. That tenant will not move in for about ten years.

    The tenant is described only as a leading artificial intelligence company. It has promised roughly $5.2 billion in rent for that later decade, so the site now has 20 years of signed leases instead of 10.

    Why it matters: an artificial intelligence company is locking up a building a decade in advance. The catch: Cipher pays the first $359.3 million of any building cost overruns.

    Cipher Digital (Nasdaq: CIFR) announced on September 25, 2026 that it has extended the contracted term of its Barber Lake data center in Colorado City, Texas, from 10 years to 20. In an 8-K filed the same day, Cipher disclosed that its subsidiary amended its existing lease with Fluidstack, an AI cloud provider. Alongside the amendment, Cipher signed a binding commitment with an unnamed “leading AI lab” to lease the facility for a further ten years once the Fluidstack term ends. Cipher expects the new lease to add about $5.2 billion of contracted revenue, raising the facility’s total from $3.8 billion to more than $9 billion.

    The amendment also set a revised phased delivery schedule, with data halls expected between the fourth quarter of 2026 and the first quarter of 2027. It also established a cost-sharing framework under which Cipher absorbs the first $359.3 million of costs above the original budget. 24/7 Wall St. reported that Cipher’s shares rose 4% on the news, with TeraWulf and Applied Digital each gaining 2%.

    Executive Summary

    Cipher has added a second decade of contracted rent to a facility whose first data halls have not yet been handed over. The new ten-year lease will be a separate contract with a different tenant, the unnamed AI lab. According to Cipher’s press release, it will carry economic terms “substantially consistent” with the Fluidstack lease. The roughly $5.2 billion it adds exceeds the $3.8 billion the original lease carried, and Cipher did not need a new site to get it.

    This matters because the largest unknown in owning a single-tenant data center is usually what the building is worth after the first lease ends. At Barber Lake, that residual value is now contracted rather than assumed. There is a cost attached. Cipher took on tenant-requested design changes, a revised delivery schedule, and the first $359.3 million of any overruns above the initial budget.

    For investors and industry participants, the deal offers a concrete benchmark: what a committed second term can be worth on an AI campus already under construction. It also raises fair questions. The $9 billion headline is a nominal sum stretched over two decades, the second tenant is unnamed, and Cipher has not disclosed the construction budget.

    The Second Decade Now Has a Price Tag

    Much of the risk in owning a data center built for one customer sits in what happens when that customer’s lease ends. A facility laid out around one tenant’s hardware, power density and floor plan may need costly refits before a new occupant moves in, or may sit partly empty while one is found. For that reason, lenders and investors usually treat residual value, meaning what the asset is worth after the contracted term, conservatively. The concern is sharper for AI facilities, where chip generations and rack designs change quickly.

    Cipher’s deal turns that uncertainty into a contract. The AI lab’s commitment is binding and covers the ten years after Fluidstack’s term. Cipher’s 8-K says the new lease will carry economic terms substantially consistent with the existing one. The result is roughly $5.2 billion of revenue attached to years 11 through 20 of a facility whose first rent is not expected until the fourth quarter of 2026. A tenant is effectively reserving capacity about a decade in advance. One reasonable reading is that the lab places a high value on securing an identified, already-developing site now rather than competing for one later.

    This is the mechanism behind the headline. A company like Cipher, which moved from bitcoin mining to leasing capacity to AI tenants, has two broad ways to grow contracted value. It can build more energized capacity, or it can lengthen the contracted life of capacity it is already building. This deal uses the second approach, and Cipher has not said it involves additional capacity. One transaction does not establish an industry pattern. It does show that, at this site, contract duration was worth more in nominal terms than the entire original lease.

    Why “Past $9 Billion” Overstates Today’s Value

    Contracted revenue is a sum of future rent, not a present value. The $5.2 billion only begins once Fluidstack’s ten-year term ends. With first rent expected in late 2026, that is roughly a decade away, and it then runs for another ten years. At any realistic cost of capital, a dollar of rent received in the 2040s is worth considerably less than a dollar today. The $9 billion total is accurate as a contractual figure. It should not be read as $9 billion of near-term cash flow.

    The figure also carries two decades of counterparty exposure. Cipher’s return depends on the AI lab still being willing and able to pay ten to twenty years from now, in a sector where demand, technology and tenant finances can change substantially over that span. Cipher has not disclosed any guarantee, deposit or other credit support tied to the new lease.

    There is also an arithmetic question. If the terms are substantially consistent with the first lease, it is not obvious why the second decade adds about $5.2 billion while the first carries $3.8 billion, roughly 37% more. Rent escalators, the redesigned facility, or the cost-recovery rent could each contribute, but Cipher has not broken the figure down. Chief Executive Tyler Page said the deal underscores “the durability of demand for hyperscale computing capacity.” That claim is well supported for this campus. As evidence about the wider market, it remains a single data point.

    The $359.3 Million Cost of Securing the Term

    The amendment came with tenant-modification change orders, which are redesigns requested by the occupant, and a revised phased delivery schedule. Individual data halls are now expected between the fourth quarter of 2026 and the first quarter of 2027, and rent starts hall by hall as each is delivered. Cipher says it remains on track with the revised schedule.

    The cost framework is where the trade-off becomes visible. Cipher bears the first $359.3 million of costs above the initial budget. Beyond that, the tenant reimburses 50% over the full twenty-year term as additional rent, calculated to give Cipher a contracted rate of return. Cipher therefore carries the first tranche in full and, by implication, the other half of anything above it. Part of the price of the second decade is Cipher taking on construction-overrun risk today. Because Cipher has not disclosed the initial budget, outsiders cannot tell whether $359.3 million is a remote cushion or a likely spend.

    For the people who design and build these facilities, the operational lesson is clear. AI tenants’ requirements are still changing while construction is under way. At Barber Lake, the landlord that accommodated those changes, and absorbed the first layer of their cost, came away with a longer contract.

    A Benchmark for Converted Miners

    Cipher, TeraWulf and Applied Digital each built businesses around cryptocurrency mining or hosting before turning to AI and high-performance computing (HPC) tenants. HPC is the dense, power-hungry computing used to train and run large AI models. Much of these companies’ appeal to AI customers has rested on sites with large grid connections, which can take years to secure.

    Barber Lake gives the group a reference point. The commercial question shifts from how many megawatts a company can energize to how many years of rent it can lock in on what it energizes. Investors may reasonably ask peers whether their first-term leases carry renewal commitments or follow-on tenants. Neither TeraWulf nor Applied Digital disclosed a comparable arrangement alongside Cipher’s announcement, so their gains reflect read-across rather than new contracts of their own.

    Background

    Cipher Digital, formerly Cipher Mining, built its business on bitcoin mining before repositioning as a developer and operator of industrial-scale data centers for high-performance computing tenants. Barber Lake in Colorado City, Texas is its flagship campus of this kind. The original lease with Fluidstack, an AI cloud provider, covered ten years and $3.8 billion of contracted revenue.

    Several former miners, including TeraWulf and Applied Digital, have taken a similar path. They lease sites with large existing or planned power connections to AI customers who need capacity faster than new grid connections can typically be secured. Investors increasingly judge these companies by the size, duration and quality of their contracted leases.

    Sources

    Source: Cipher Digital Jumps 4% as Barber Lake Lease Extension Lifts Contracted Revenue Past $9B; TeraWulf and Applied Digital Gain 2% (24/7 Wall St., via Yahoo Finance), market coverage of Cipher’s Barber Lake lease extension and peer share moves.

    Primary sources: Cipher Digital Inc. Form 8-K filed September 25, 2026; Cipher Digital press release (Exhibit 99.1): Cipher Digital Expands Barber Lake Lease Term to 20 Years, Increasing Revenue to Over $9 Billion; Applied Digital Form DEF 14A filed September 25, 2026.