矿场 · 1050

Bitcoin mining infrastructure company Bitari submits IPO application to NASDAQ: plans to raise $30 million

According to CryptoBriefing, Bitari Inc., a Texas-based Bitcoin mining infrastructure company, submitted an S-1 registration statement to the US SEC on August 21 to seek to raise $30 million through an initial public offering (IPO) on the NASDAQ global market under the ticker symbol BIAI. The offering will issue 4,285,715 common shares, each priced at $7, and is expected to generate total earnings of approximately $30 million, and net income of approximately $27 million after deducting underwriting and related expenses. Bitari is responsible for building and operating the physical infrastructure required for Bitcoin mining. Its current core facility is a 20 megawatt operating mine in Wheeler, Texas. A second 20 MW mine is under construction in Dumas, Texas, and the company also owns a contracted 20 MW mine in Marion, Indiana.

19h ago

Tether Uruguay Bitcoin mining farm terminated due to power supply differences, project costing around $1.2 billion

In comparison, according to Reuters, Tether stopped Bitcoin mining operations in Uruguay in 2025. According to documents and sources familiar with the matter, the project later came to an end due to a disagreement between Tether and the Uruguayan National Electricity Company UTE on the electricity supply terms. Tether believes that the contract agreement is the minimum amount of electricity that can be increased, while UTE sees this as the maximum quota that cannot be exceeded.

1d ago

Binance has set up a creditor committee to intervene in the bankruptcy process, and the filing of claims has already been opened

According to the news, Biyin Poolin Mining Pool set up a creditor committee on August 12 and hired law firms to intervene and supervise the bankruptcy process on behalf of all creditors. Currently, the case has entered the bankruptcy asset sale and liquidation stage. Creditors do not need to appoint their own lawyers and can submit claims through the official Verita Global page. Earlier, Coinprint applied for Chapter 11 bankruptcy protection with the New Jersey District Bankruptcy Court in July and plans to sell its Bitcoin mining assets in Texas for 52 million US dollars.

1d ago

Canaan Technology produced 46 BTC in July and held 1,917 BTC and 3,952 ETH

Comparing news, Bitcoin mining machine manufacturer Jianan Technology released Bitcoin mining operation data for July. 46 BTC were mined in July, and the balance sheet held 1,917 BTC and 3,952 ETH as of the end of the month. The average energy efficiency of non-joint venture mines in North America was 17.9 J/TH, the global operating computing power reached 14.24 EH/s, and the installed computing power was 14.89 EH/s. The comprehensive electricity cost for the month was approximately $0.043 per kilowatt-hour. This article is sponsored by GENG, Build Your Fortune on GENG (https://geng.one)

5d agoburnking
From crypto mining farms to AI clouds: Why does a16z say the “new cloud” burns money as it grows?

From crypto mining farms to AI clouds: Why does a16z say the “new cloud” burns money as it grows?

Source: a16z New Media Author: Moses Sternstein, a16z Original title: Charts of the Week: Head In The Neoclouds Editor's Note: In the context of generative AI driving a new round of computing power investment, market discussions on AI infrastructure are shifting from “whether there are enough GPUs” to “who can provide computing power in a sustainable way”. When model training, inference requirements, and data center expansion became consensus, a lower-level question began to emerge: Can the rapid increase in computing power demand actually translate into stable profits and cash flow? In “Charts of the Week” published by a16z New Media, author Moses Sternstein moved in from new cloud companies such as CoreWeave, Nebius, and Applied Digital to discuss the growth, valuation, and profit conflicts of the AI computing power market, and further extended to horizontal SaaS, model routing, and cutting-edge lab talent competition. In this article, instead of simply judging whether AI demand is strong, the author breaks down current AI transactions into a set of lower level structural issues: how existing infrastructure is being repriced, why revenue growth is not simultaneously improving market expectations, and why the AI industry's competitive focus is shifting from simple expansion to efficiency and return. The first is the rediscovery of the value of infrastructure. In the past, land along railway lines, gas pipelines, and cable television networks all served specific industries and were later transformed into telecommunications and internet infrastructure. Today, a similar revaluation of assets happened again. Originally serving cryptocurrency mining, some new cloud companies already have operating experience with electricity, computer rooms, cooling systems, and high-density computing; after the outbreak of AI demand, these capabilities were quickly transformed into scarce computing power supplies. The point is that AI infrastructure competition doesn't start entirely from scratch; early advantages often come from a recombination of old assets, energy resources, and engineering capabilities. Second, high revenue growth and profit uncertainty coexist. The early revenue growth rate of new cloud companies such as CoreWeave once surpassed the initial stages of cloud giants such as AWS, but the capital market did not receive the same level of recognition. The reason is that the new cloud is not a typical asset-light software business. GPU procurement, power access, data center construction, chip depreciation, and debt interest will rise simultaneously with scale, or even faster than revenue. This means that revenue expansion can only prove that AI computing power is in high demand, but it cannot automatically prove that the business model has a sufficiently high return on capital. What the market is really waiting for is whether these companies can turn orders and revenue into sustainable free cash flow. Third, the value of software is being re-differentiated according to the impact of AI. In the past, the market feared that generative AI would generally weaken SaaS companies' moats, but Atlassian's performance suggests AI could also be a tool to increase customer spend and product stickiness. At the same time, cybersecurity and observability software continues to receive valuation premiums as AI expands potential risks and increases companies' reliance on proven solutions. This means that the so-called “end of SaaS” will not happen evenly. Whether AI is an alternative product, lower prices, or expand demand, is becoming the new standard for software valuation differentiation. Fourth, AI applications are shifting from “stacking tokens” to optimizing tokens. In the past, companies often preferred to directly call the most capable models or give engineering teams a budget to test on their own; now, companies such as Databricks have begun to use intelligent routing to match models with different prices and performance according to the difficulty of the task to reduce costs while maintaining results. A decrease in the unit price of tokens does not necessarily mean a contraction in total AI spending: as unit costs decrease and application scenarios increase, total token consumption and overall market size may continue to rise. Efficiency and demand are not mutually exclusive, but may form a mutually reinforcing cycle. If I were to reduce this article to one judgment, it would be: AI infrastructure has proven itself to generate rapid growth, but the next phase of success or failure will depend on whether the company can transform growth into greater capital efficiency. In this sense, the topic discussed in this article is not only whether CoreWeave can become the next generation of cloud giants, but whether the entire AI industry can move from expanding computing power to sustainable commercial returns...

5d ago22#a16z
Why did NeoCloud rise more sharply than Nvidia in this round of technology stock rebound?

Why did NeoCloud rise more sharply than Nvidia in this round of technology stock rebound?

Author: Vibrant BlockBeats Original title: Why did NeoCloud increase the most in this round of rebound in US technology stocks? One of the strongest directions in this round of US tech stock rebound came from NeoCloud: CoreWeave, Nebius, and some AI infrastructure companies with power and data center resources. Logically, the capital is pricing an AI infrastructure equity certificate with multiple leverage: computing power production capacity that has been locked in a contract and can be delivered quickly. Once AI demand improves, NeoCloud's revenue expectations, financing capacity, and shareholder equity value are likely to rise at the same time. This makes it highly resilient during the rebound phase of technology stocks; electricity, data centers, financing, and valuation flexibility together form this level of leverage. The AI bottleneck is changing. What was most scarce in the early days was GPUs, followed by HBM and high-speed networks; today, what customers really lack is a complete set of capabilities to go online: get a GPU, have enough power, complete computer room construction, network connectivity, and be able to deliver large-scale clusters within a few months. NeoCloud is stuck in this gap. The funds were purchased by NeoCloud, a “powered computing power factory,” usually including GPU clusters, networks, liquid cooling, data centers, power access, and operation and maintenance services. The customer purchased a block of large-scale computing power capacity that can directly run AI training and inference. This is important. GPUs can be purchased, but power capacity, land, substations, data center licenses, and network access cannot be replicated in the short term. Large cloud vendors have capital and customers, and are also bound by the construction cycle; some AI companies want to preserve more flexibility and are unwilling to put all of their needs on a single hyperscaler. As a result, NeoCloud, which has ready-made electricity and rapid deployment capabilities, became an “accelerator” for investment in AI infrastructure. The market is willing to value them higher, and the core is that these resources have two characteristics: · Scarce: limited available electricity and deliverable data center capacity; · Contractable: customers are willing to sign multi-year capacity contracts with minimum commitments. When scarce resources can be locked in by long-term contracts, the market will reinterpret it from ordinary IT service revenue as a cash-flow asset with infrastructure attributes. Financial reports have changed the market's view on the business model. Previously, the market's main question about NeoCloud was very direct: buying GPUs and building data centers required huge amounts of capex. Will the company fall into a cycle of “continuous financing and continuous burning of money”? The answers given in recent financial reports were positive. CoreWeave Q2's revenue reached $2,575 billion, disclosing a backlog (signed but unconfirmed expected revenue) of approximately $104 billion; Nebius' AI Cloud ARR (annualized recurring revenue) reached $3 billion, and disclosed a number of large long-term contracts. The market focuses on single-quarter revenue, and more on the complete commercial loop that appears behind these numbers: AI customers sign long-term capacity contracts → some customers provide advance payments or minimum payment commitments → companies can more easily obtain debt and equipment financing → add GPUs, computer rooms, and power capacity online → revenue and EBITDA (profit before interest, tax, depreciation and amortization) increase → continued increase in financing capacity and expansion capacity. This has gradually moved NeoCloud's narrative from “high-capex GPU renters” to “AI that supports expansion with orders” “Infrastructure operators”. As long as orders, financing, and delivery can continue to be linked, growth will have a clear flywheel character. Why isn't funding prioritizing storage and the three major clouds? The choice of funding reflects poor expectations in different areas. Storage leaders are benefiting from AI demand, and products such as HBM and DRAM are still very popular. However, the market has begun to worry about rising supply, high prices, peaking profit margins, and whether upbeat expectations in the early period have been fully reflected in stock prices. The financial report is strong. If the forward guidance does not continue to be revised, the stock price will easily be under pressure. The challenge for storage companies is their cyclical nature. The market deals with prices, shipments, and gross margin paths for the next few quarters; when supply is likely to catch up with demand and average selling prices may fall, it is difficult for strong current performance to continue to drive valuation expansion. HBM/DRAM, NAND/SSD, and HDD are also in different sub-cycles, and the stock price performance of all storage companies cannot be attributed to the same reason. Three major clouds — Microsoft Azure, Amazon...

9d agoburnking#AI #Arithmetic power #US stocks #financing

Keel closes all US Bitcoin mining operations to transform AI data centers, selling 1,085 BTC since April

According to The Block, Keel Infrastructure Corp. (formerly Bitfarms) announced in its second-quarter earnings report that it has shut down all of its US Bitcoin mining operations in preparation for transforming the mine into an AI and high-performance computing data center. The company sold 1,085 BTC between April 1 and August 7, receiving $75 million, and currently holds 1,861 BTC. CEO Keel said electricity is a limiting factor. Three of its priority sites are close to receiving full permits, and several potential tenants are in negotiations. The company has $819 million in working capital and unused 2027 electricity capacity. Keel's stock price fell more than 11% on Monday, and second-quarter revenue of $30,000 million fell 50% year over year, shifting from a profit of $110 million in Q2 last year to a loss of $141 million.

11d ago

Brazilian police seize an illegal Bitcoin mining site, seize 15 ASIC miners and 3 servers

Comparatively, according to Livecoins, during a routine inspection of scrap metal theft and sales, Brazilian police discovered a hidden illegal Bitcoin mine in a waste recycling bin. Approximately 15 ASIC miners and 3 servers were seized at the scene. The total value of the equipment is estimated to be over 200,000 reais (about 39,400 thousand US dollars). Bitcoin mining is not illegal in Brazil itself, but the devices are stealing electricity, and local electricity company Cemig estimates a monthly loss of around 6 million reais (about $1.18 million). A 37-year-old recycling bin employee was arrested on the spot for stealing and selling stolen goods without stating the origin of the equipment or providing an invoice. The police also opened a case against a 31-year-old man and woman in charge of the business. Police said they are currently tracking the flow of the mined cryptocurrency.

20d ago
Next to Anthropic, has Bitcoin mining salted fish turned around?

Next to Anthropic, has Bitcoin mining salted fish turned around?

Source: Letter AI Author: Wang Jing, Xiao Jinya On July 6, Bitcoin mining company TeraWolf signed a 20-year data center lease with Anthropic, with a total contract value of about US$19 billion. Two weeks later, another mining company, Hut 8, announced a long-term lease worth 9.8 billion US dollars. It built an AI data center in Texas and leased 352 MW of the computer room and power capacity to an undisclosed major customer for 15 years, with a total rent of about 9.8 billion US dollars. This is the second contract of the same size that Hut 8 has received at Beacon Point Park. The total contract value for the two phases of the project has reached 19.6 billion US dollars. Note: Hut 8 CEO Asher Genoot spoke at the Bitcoin Asia conference in Hong Kong and signed these two big orders, all of which were companies that started by mining Bitcoin. Until a few years ago, TeraWolf and HUT 8's main business was mining bitcoins. Mining machines are added when the currency price rises, and some equipment is turned off when the currency price falls or the electricity price is too high. The company's revenue also fluctuates greatly along with the currency price. Now, some of the mining machines are being removed, and the original mine has begun to be converted into an AI data center. The business done by mining companies also changed from mining their own coins to leasing space and electricity to AI companies. Mining machines have been eliminated for generations, but the mines have stayed. The land, electricity, and grid connection qualifications prepared for mining in the past may now be worth more than the mining rig itself. The reason why mining companies have reached this point still has to start with the bankruptcy of Core Scientific. The “mining king” of North America went bankrupt in the second half of 2020 until the end of 2021. Bitcoin ushered in a big bull market, and the price rose all the way from about 10,000 US dollars to nearly 69,000 US dollars. Taking advantage of this bull market, Core Scientific continued to buy mining machines, expand mining sites, and build large-scale mining facilities in Texas, North Carolina, and Georgia. At one point, it became one of the largest listed mining companies in North America. Note: Core Scientific is located at the Marble mine in North Carolina. (Source: Core Scientific) The logic behind Core Scientific's massive expansion is uncomplicated. Bitcoin mining companies invest in computing power to compete across the network. The higher the share of computing power, the more bitcoins they can usually share. As long as the currency price remains high, buy more mining machines and build more mines, there is an opportunity to recover the investment faster. But this expansion presupposes that mining companies cannot control: Bitcoin prices must be high enough to cover equipment and electricity costs. In 2022, that premise was shattered. The price of Bitcoin has dropped sharply from its high point, but energy prices such as natural gas are rising, and mining companies still have to pay for electricity and equipment. The mining machine is generating new costs every day, but the bitcoins that have been mined can no longer support previous expansion. By the end of that year, Core Scientific quickly ran out of cash, and the former North American “mining tycoon” finally filed for bankruptcy protection. Core Scientific isn't the only mining company like this; falling currency prices and rising costs are impacting the entire industry. Another listed mining company, Riot, mined 5,554 bitcoins in 2022, an increase of 46% over the previous year, but mining revenue fell from US$184 million to US$157 million. The company's net loss for the year reached US$509.6 million, mostly due to depreciation of mining machines, bitcoins, and acquired assets. Riot's data also revealed another layer of pressure on mining companies. Mining is an unstoppable equipment race. As more mining machines are added, the Bitcoin network will automatically increase the difficulty of mining, and the number of bitcoins that a single mining machine can mine will also decrease. Old mining machines are slow and consume a lot of electricity. They also cost an electricity bill, but the output is getting lower and lower. In order to maintain production and reduce electricity costs, mining companies can only continue to buy new mining machines with stronger computing power and lower energy consumption. In other words, not only do they have to continue to pay for electricity, but they also have to repeatedly invest in upgrading equipment. Once the price of the currency falls, the value of newly purchased mining machines and Bitcoin holdings will be reduced, yet the high electricity bill is more than a cent. In a bull market, it seems like a good deal that can be replicated over and over again; when it comes to a bear market, it will soon become a cash black hole. More importantly, starting in early 2023, the Bitcoin price gradually broke out of the trough and broke through the historical high of the previous round of bull markets in 2024. However, the profitability of mining companies did not recover along with the currency price. In April 2024, Bitcoin was halved for the fourth time, and the rewards for each block mined were reduced from 6.25 to 3.125. The so-called “halving” means that the Bitcoin network will... about every four years...

25d agoWendy#Anthropic #Core Scientific #TeraWolf #AI #Mining companies