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SEC and DOJ Throw Support Behind Investor Class-Action Lawsuit Against Nvidia Over Alleged Crypto Mining Sales

SEC and DOJ Throw Support Behind Investor Class-Action Lawsuit Against Nvidia Over Alleged Crypto Mining Sales

Two prominent US regulatory agencies are supporting a class-action lawsuit against tech giant Nvidia over sales to crypto miners that were allegedly misrepresented. According to recent court filings, the U.S. Securities and Exchange Commission (SEC) and the U.S. Department of Justice (DOJ) are filing amicus briefs in support of the group of investors suing Nvidia, […]

The post SEC and DOJ Throw Support Behind Investor Class-Action Lawsuit Against Nvidia Over Alleged Crypto Mining Sales appeared first on The Daily Hodl.

MicroStrategy completes $3 billion convertible notes offering to buy more Bitcoin

Apple used Google’s chips to train its AI — where does that leave Nvidia?

Nvidia’s shrinking market cap could signal a shift in the generative AI developer’s market.

Apple had the same choices as any other technology company with money to burn when it came to training its artificial intelligence models. It could have used its own chips, conducted training via cloud infrastructure, or gone the popular route and just bought billions of dollars' worth of Nvidia chips. Instead, it made a deal with the company that owns Google. 

Apple has been accused of being late to the artificial intelligence party. While its peers were busy pivoting to generative AI and pouring billions of dollars into training chips and cloud services, Apple’s public-facing image focused on iPhone sales and “spatial computing.”

This led analysts and pundits to worry over whether the house that Steve Jobs built was falling behind its closest competitors. Then, in June of 2024, the market itself seemed to confirm those fears when Nvidia passed up Google, Apple, and Microsoft to become the most valuable company in the world.

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MicroStrategy completes $3 billion convertible notes offering to buy more Bitcoin

Study: AI Success in Africa Depends on Availability of Local Language Data and AI Talent

Study: AI Success in Africa Depends on Availability of Local Language Data and AI TalentAccording to the latest Global System for Mobile Communications (GSMA) study report, the success of artificial intelligence (AI) in Africa hinges largely on the availability of local language data and addressing the AI skills gap. The report urges African countries to prioritize investment in domain-specific and local language data. It also recommends adopting participatory approaches […]

MicroStrategy completes $3 billion convertible notes offering to buy more Bitcoin

‘107,000 GPUs on the waitlist’ — io.net beta launch attracts data centers, GPU clusters

Io.net’s recently developed decentralized physical infrastructure network has moved into its beta phase, allowing GPU computing providers to plug into the platform.

Over 100,000 GPUs from data centers and private clusters are set to plug into a new decentralized physical infrastructure network (DePIN) beta launched by io.net.

As Cointelegraph previously reported, the startup has developed a decentralized network that sources GPU computing power from various geographically diverse data centers, cryptocurrency miners and decentralized storage providers to power machine learning and AI computing.

The company announced the launch of its beta platform during the Solana Breakpoint conference in Amsterdam, which coincided with a newly formed partnership with Render Network.

Tory Green, chief operating officer of io.net, spoke exclusively to Cointelegraph after a keynote speech alongside business development head Angela Yi. The pair outlined the critical differentiators between io.net’s DePIN and the broader cloud and GPU computing market.

Related: Google Cloud broadens Web3 startup program with 11 blockchain firms

Green identifies cloud providers like AWS and Azure as entities that own their supplies of GPUs and rent them out. Meanwhile, peer-to-peer GPU aggregators were created to solve GPU shortages, but “quickly ran into the same problems” as the exec explained.

The wider Web2 industry continues to look to tap into GPU computing from underutilized sources. Still, Green contends that none of these existing infrastructure providers cluster GPUs in the same way that io.net founder Ahmad Shadid has pioneered.

“The problem is that they don't really cluster. They're primarily single instance and while they do have a cluster option on their websites, it's likely that a salesperson is going to call up all of their different data centers to see what’s available,” Green adds.

Meanwhile, Web3 firms like Render, Filecoin and Storj have decentralized services not focused on machine learning. This is part of io.net’s potential benefit to the Web3 space as a primer for these services to tap into the space.

Green points to AI-focused solutions like Akash network, which clusters an average of 8 to 32 GPUs, as well as GenSyn, as the closest service providers in terms of functionality. The latter platform is building its own machine learning compute protocol to provide a peer-to-peer “supercluster” of computing resources.

With an overview of the industry established, Green believes io.net’s solution is novel in its ability to cluster over different geographic locations in minutes. This statement was tested by Yi, who created a cluster of GPUs from different networks and locations during a live demo on stage at Breakpoint.

io.net's user interface allows a user to deploy a cluster of GPUs from different locations and service providers globally. Source: io.net

As for its use of the Solana blockchain to facilitate payments to GPU computing providers, Green and Yi note that the sheer scale of transactions and inferences that io.net will facilitate would not be processable by any other network.

“If you're a generative art platform and you have a user base that's giving you prompts, every single time those inferences are made, micro-transactions behind it,” Yi explains.

“So now you can imagine just the sheer size and the scale of transactions that are being made there. And so that's why we felt like Solana would be the best partner for us.”

The partnership with Render, an established DePIN network of distributed GPU suppliers, provides computing resources already deployed on its platform to io.net. Render’s network is primarily aimed at sourcing GPU rendering computing at lower costs and faster speeds than centralized cloud solutions.

Yi described the partnership as a win-win situation, with the company looking to tap into io.net’s clustering capabilities to make use of the GPU computing that it has access to but is unable to put to use for rendering applications.

Io.net will carry out a $700,000 incentive program for GPU resource providers, while Render nodes can expand their existing GPU capacity from graphical rendering to AI and machine learning applications. The program is aimed at users with consumer-grade GPUs, categorized as hardware from Nvidia RTX 4090s and under.

As for the wider market, Yi highlights that many data centers worldwide are sitting on significant percentages of underused GPU capacity. A number of these locations have “tens of thousands of top-end GPUs” that are idle:

“They're only utilizing 12 to 18% of their GPU capacity and they didn't really have a way to leverage their idle capacity. It's a very inefficient market.”

Io.net’s infrastructure will primarily cater to machine learning engineers and businesses that can tap into a highly modular user interface that allows a user to select how many GPUs they need, location, security parameters and other metrics.

Magazine: Beyond crypto: Zero-knowledge proofs show potential from voting to finance

MicroStrategy completes $3 billion convertible notes offering to buy more Bitcoin

Startup demos upcoming decentralized GPU infrastructure network to OpenAI, Uber

io.net has built a decentralized physical infrastructure network that will source GPU computing power for AI and machine learning.

A project that started out as an institutional-grade quantitative trading system for cryptocurrencies and stocks has transitioned to become a decentralized network sourcing GPU computing power to serve increasing demand for AI and machine learning services.

Io.net has developed a test network that sources GPU computing power from a variety of data centers, cryptocurrency miners and decentralized storage providers. Aggregating GPU computational power is touted to drastically reduce the cost of renting these sources that are becoming increasingly expensive as AI and machine learning advances.

Speaking exclusively to Cointelegraph, CEO and co-founder Ahmad Shadid unpacks details of the network that aims to provide a decentralized platform for renting computing power at a fraction of the cost of centralized alternatives that currently exist.

Related: Future of payments: Visa to invest $100M in generative AI

Shadid explains how the project was conceived in late 2022 during a Solana hackathon. Io.net was developing a quantitative trading platform that relied on GPU computing power for its high-frequency operations, but was hamstrung by the exorbitant costs of renting GPU computing capacity.

The io.net platform will allow GPU computing providers to provide resource to clusters for AI and machine learning needs. Source: io.net

The team unpacks the challenge of renting high-performance GPU hardware in its core documentation, with the price of renting a single NVIDIA A100 averaging around $80 per day per card. Needing more than 50 of these cards to operate 25 days a month would cost more than $100,000.

A solution was found in the discovery of Ray.io, an open-source library which OpenAI used to distribute ChatGPT training across over 300,000 CPUs and GPUs. The library streamlined the project’s infrastructure, with its backend developed in the short space of two months.

Shadid demoed io.net’s working testnet at the AI-focused Ray Summit in Sept. 2023, highlighting how the project aggregates computing power which is served to GPU consumers as clusters to meet specific AI or machine learning use cases.

“Not only does this model allow io.net to provision GPU compute up to 90% cheaper than incumbent suppliers, but it allows for virtually unlimited computing power.”

The decentralized network is set to leverage Solana’s blockchain to deliver SOL and USD Coin (USDC) payments to machine learning engineers and miners that are renting or providing computing power.

“When ML engineers pay for their clusters, these funds are directed straight to the miners that served in the cluster with their GPUs, with a small network fee being allocated to the io.net protocol.”

The project’s roadmap is set to include the launch of a dual native token system that will feature $IO and $IOSD. The token model will reward miners for executing machine learning workloads and maintaining network uptime while considering the dollar cost of electricity consumption.

“The IO coin will be freely traded in the crypto market and is the gate to access the compute power, while the IOSD token will serve as a stable credit token algorithmically pegged to 1 USD.”

Shadid tells Cointelegraph that io.net fundamentally differs from centralized cloud services like Amazon Web Services (AWS):

“To use an analogy, they’re United Airlines and we’re Kayak; they own planes whereas we help people book flights.”

The founder adds that any businesses that require AI computation typically use third-party providers, since they lack the GPUs to handle it all in-house. With demand for GPU’s estimated to increase by ten times every 18 months, Hadid says that these is often insufficient capacity to meet demand, leading to long wait times and high prices.

This is compounded by what he describes as inefficient utilization of data centers that are not optimized for the type of AI and machine learning work that is rapidly increasing:

“There are thousands of independent datacenters in the US alone, with an average utilization rate of 12 - 18%. As a result, bottlenecks are being created, which is having the knock-on effect of driving up prices for GPU compute.”

The upside is that the average cryptocurrency miner stands to gain by renting out their hardware to compete with the likes of AWS. Hadid says that the average miner using a 40GB A100 makes $0.52 a day, while AWS is selling the same card for AI computing for $59.78 a day.

“Part of the value proposition of io.net is first we allow participants to be exposed to the AI compute market and resell their GPUs and for the ML engineers we are significantly cheaper than AWS.”

Figures shared with Cointelegraph estimate that miners with GPU resources at their disposal could make 1500% more than they would from mining a variety of cryptocurrencies.

Magazine: Blockchain detectives: Mt. Gox collapse saw birth of Chainalysis

MicroStrategy completes $3 billion convertible notes offering to buy more Bitcoin

Iris Energy buys 248 Nvidia GPUs worth $10M for generative AI & Bitcoin mining

Iris Energy has invested $10 million in the latest generation Nvidia GPUs to explore generative AI while it continues to focus on Bitcoin mining.

Nasdaq-listed Iris Energy has bought 248 state of the art Nvidia H100 GPUs for $10 million as it looks to explore opportunities in generative AI in addition to its core business focus on Bitcoin mining.

The firm expects to receive delivery of the 248 GPUs in the coming months and plans to deploy the hardware to serve opportunities in cloud computing.

Iris Energy co-founder and co-CEO Daniel Roberts said the company was looking to leverage its existing data centers into serving generative AI computing requirements.

“We believe demand for sustainable computing is unlikely to go away, and feel we are uniquely positioned to capture ongoing growth in the broader industry; whether that be ASICs for Bitcoin mining, or GPUs for generative AI and beyond.”

Iris Energy operates in regions that have an abundance of renewable energy including wind, solar, hydro and has set up its modular data centers nearby to the source of low-cost excess renewable energy to be monetized for Bitcoin.

Nvidia's H100 Tensor Core GPU.  Source: Nvidia.com.

According to the Iris Energy website, it has four major data center mining facilities, including Canal Flats, Mackenzie and Prince George in Canada’s British Columbia as well as its Childress site in Texas.

Related: Tether CTO stays silent on Bitcoin mining locations

Renewable-powered Bitcoin mining operations continue to attract investment, with Genesis Digital Assets Limited opening a new data centre in Sweden in August 2023 that will operate off abundant power from the nearby Porjus Hydroelectric Power Station.

Meanwhile Blockstream recently announced its intent to raise up to $50 million in an official investment note to purchase, store and then sell BTC mining hardware ahead of Bitcoin's next halving event in 2024. 

GPU hardware manufacturer Nvidia has also seen significant windfall from the rise of AI-powered tools and AI computing, with its total market capitalization eclipsing $1 trillion in May 2023.

Nvidia also recently teased its next-generation GH200 Grace Hopper Superchip which is touted to be able to process complex generative AI workloads, includling large language models, recommender systems and vector databases.

Magazine: Recursive inscriptions: Bitcoin ‘supercomputer’ and BTC DeFi coming soon

MicroStrategy completes $3 billion convertible notes offering to buy more Bitcoin

Bitcoin may hit $100K by capturing ‘even 2 to 5% of gold’s market cap’ — Hut 8 VP Sue Ennis

New developments in the Bitcoin mining space have Hut 8 vice president Sue Ennis convinced that well-positioned miners will thrive after the next BTC halving.

The next Bitcoin halving event is less than nine months away, and the consensus opinion among analysts and investors is that the halving will send Bitcoin’s price to a new all-time high or even above $100,000. 

Despite this belief, the absence of fresh inflow to the crypto market, the current macroeconomic headwinds and Bitcoin’s (BTC) recent price action below $30,000 do not inspire much confidence in this theory in the short term.

In a recent interview with Paul Barron, Hut 8 vice president Sue Ennis shared her thoughts on how the Bitcoin price will rise above $100,000 in the next year and how the upcoming halving will impact BTC miners. Hut 8 currently has a balance of 9,152 BTC in reserve, of which 8,305 is unencumbered. The company’s installed ASIC hash rate capacity sits at 2.6 exahashes per second, and Hut 8 mined 44.6 BTC in July.

In the interview, Barron inquired whether rising Bitcoin difficulty for miners could induce a fresh wave of sell pressure against BTC. Citing data from Hashrate Index, Barron observed that spikes in Bitcoin difficulty were followed by drops in BTC’s price.

Bitcoin price, difficulty and difficulty adjustment. Source: Hashrate Index

Barron questioned if miners were selling Bitcoin as a result of the upcoming halving creating a need for more efficient ASICs and whether BTC’s pre- and post-halving price action would not be as bullish as investors expected.

According to Ennis:

“There’s a lot of really unprecedented dynamics that are happening now in the mining space. [...] What’s interesting is hash rate continues to come online despite Bitcoin price trading in a certain band. [...] We’re still seeing hash rate increase.”

Ennis elaborated with:

“What’s changed now is that we’re seeing Bitcoin price come down a little, but hash rate continues to go up. [...] I think what’s really exciting and different is we’re seeing a tremendous amount of new entrants into the global Bitcoin network.”

Ennis referenced six gigawatts of nuclear and renewable energy being generated in the Middle East, and with the region's governments exploring Bitcoin mining as an option, more hash rate is coming online in a way that is somewhat price agnostic. This is drastically different from how publicly traded United States-based and more forward-facing miners operate.

In order to stay afloat after the halving, Ennis suggested that miners need to be in a position to avoid being “single-threaded,” i.e., they need more than one way of earning revenue beyond just mining Bitcoin.

Revenue diversification would include exploring various artificial intelligence (AI) applications, dedicating some warehouse rack space to GPUs for companies specializing in AI training and possibly offering industrial-level ASIC repair services — or even participating in demand-response initiatives with large energy producers and distributors.

Related: September ‘crash’ to $22K? — 5 things to know in Bitcoin this week

Higher prices are programmed thanks to the halving and eventual BTC ETF

Crypto investors have waited years for the launch of a spot Bitcoin exchange-traded fund (ETF), and even with the recent influx of applications, an approval by the U.S. Securities and Exchange Commission remains elusive.

Despite the history of delays and denials, Ennis said that a “spot ETF coming to market, that’s incredibly bullish for the asset class,” but she also cautioned that an approval could create sell pressure on miner equities given that mining stocks have often been used as a proxy investment to Bitcoin.

Regarding the percentage chance of a spot Bitcoin ETF approval by the end of 2023, Ennis said:

“Definitely better than 50. The real reason for my opinion on that is that BlackRock threw its hat in the ring, BlackRock being powerful and the largest asset manager in the world. For them to throw their hat in the ring and say this is what we want and the amount of clout they’ve had in markets in past initiatives has been tremendous. So I think for them to make this call, that is a real bullish signal.”

Regarding a potential target for the Bitcoin price, Ennis said:

“I definitely do think we could see in this next cycle $100,000 cost per Bitcoin, and that’s based on if BTC were to capture even 2 to 5% of gold’s $13 trillion place in institutional portfolios. If Bitcoin were able to capture even 2 to 3% of gold’s market cap, that would be incredibly accretive to the price and push it north of $100,000.”

This article does not contain investment advice or recommendations. Every investment and trading move involves risk, and readers should conduct their own research when making a decision.

MicroStrategy completes $3 billion convertible notes offering to buy more Bitcoin

Intel will stop manufacturing chips for Bitcoin miners: Report

The semiconductor chip manufacturing company will reportedly stop taking orders for the Blockscale 1000 Series ASICs by Oct. 20.

Major United States-based technology company Intel has reportedly announced plans to discontinue its line of Blockscale Bitcoin mining chips as part of efforts to cut costs.

According to an April 18 Reuters report, the semiconductor chip manufacturing company will stop taking orders for the Blockscale 1000 Series ASICs by Oct. 20 and end shipping roughly in April 2024. Intel reportedly said the move was aimed at a strategy of prioritizing the manufacturing of certain chips to outside customers, cutting overall costs.

Intel launched the Blockscale mining chips in April 2022, saying at the time the ASIC hardware would have a hash rate of up to 580 gigahash per second with each chip capable of being combined and merged into a single mining unit. Mining firms Argo Blockchain, Block, Hive Blockchain Technologies and GRIID Infrastructure were among the first companies to integrate the technology into its operations.

Related: The economics of cryptocurrency mining: Costs, revenues and market trends

Pat Gelsinger, chief executive officer at Intel, reportedly took a 25% pay cut in February, with the company projecting annual cost reductions of up to $10 billion due to cost-cutting initiatives and efficiency gains by 2026. Intel reportedly said it planned to continue monitoring “market opportunities" in the crypto space after discontinuing the mining chips.

Magazine: Inside the Iranian Bitcoin mining industry

MicroStrategy completes $3 billion convertible notes offering to buy more Bitcoin

Is GPU mining profitable after the Ethereum Merge?

The Ethereum merge is the upgrade from proof-of-work to proof-of-stake as a way of validating block transactions on the network.

What is the future of GPU mining?

The future of GPU mining depends upon miners’ willingness to continue mining alternative GPU mineable cryptocurrencies. 

Mining, the foundation of PoW cryptocurrencies, may continue to flourish, given that energy costs are low for GPU miners. Moreover, the application of graphics processing units beyond mining, including graphics designing, gaming and video editing, make them ideal for fixed capital investment. 

Also, when one blockchain migrates to alternative consensus algorithms, GPU miners can utilize their rigs to mine other cryptocurrencies. This implies that GPU miners can continue using their mining rigs during events like the Merge, unlike application-specific integrated circuit (ASIC) miners, as ASICs cannot be repurposed to mine alternative cryptocurrencies. 

On the contrary, compared to GPUs, ASICs are more energy-efficient and offer a higher hash rate, inducing miners to switch to application-specific integrated circuit equipment. However, the cost of setting up an ASIC mining rig makes it unattractive to solo miners.

Above all, the equipment a miner chooses should be supported by the blockchain on which they will be mining cryptocurrencies. Other factors determining mining profitability include electricity costs, block reward, hash rate and cryptocurrency price that a miner is looking to mine, which must be taken into consideration before buying GPUs, CPUs, ASICs or any other mining equipment.

Can miners migrate to the PoS version of Ethereum?

Miners may change their business model to proof-of-stake consensus. 

It is difficult for Ethereum supporters to abandon the chain due to the Merge and the possibility that it could render mining on Ethereum ineffective. However, decentralized finance (DeFi) staking has gained the interest of such people because of higher payouts, as fees that were formerly paid by the blockchain to miners will shift to validators.

More technical upgrades, revisions and forks will follow the Merge, according to Ethereum cofounder Vitalik Buterin. For instance, Ethereum Foundation intends to introduce and refine sharding and rollups on the blockchain, which will positively impact transaction speed and gas fees. 

Additionally, Ethereum core developers hope to simplify data storage on the blockchain with the Purge and the Verge. The Purge is a technical improvement that will reduce storage space for storing Ether on a hard disk. This will eliminate the need for nodes to keep transaction history and simplify the Ethereum protocol.

Another concept called the Verge, which is an implementation of Verkle Trees as a sort of mathematical proof, will allow any Ethereum user to become a network validator, as they won’t need extensive disk storage to keep vast amounts of block data. 

Large-scale miners may adopt a data-focused strategy and engage in high-performance computing. For example, GPU miners could gain from Web3 protocols like Livepeer and Render if they can pool resources. Nonetheless, a considerable concern is still in the air of imminent Ether (ETH) selling pressure.

An Ethereum GPU miner can invest more in what they already have and explore other emerging technologies like artificial intelligence (AI), cloud computing and others. Furthermore, the GPUs can be repurposed for cloud computing without necessarily having to add more investment. For example, Hut 8 Mining, which has over 180 GPUs, is already refurbishing its Ethereum data center for machine learning, AI and engineering purposes.

What are the alternative options for Ethereum miners?

The Merge forced miners to shift to alternative GPU mineable cryptocurrencies, a newly forked version or dump or sell their equipment at a low price.

Shift to alternative GPU mineable cryptocurrencies

One of the direct effects of the Merge includes miners turning to the Ethereum fork, Ethereum Classic (ETC), to keep utilizing their equipment. For instance, the blockchain fork’s hash rate increased the day after the Merge. The hash rate describes the computation power needed to approve a transaction on the blockchain through a proof-of-work consensus mechanism. 

As Ethereum Classic blockchain still practices the PoW method for mining, Canada-based Hive blockchain (crypto mining giant) disclosed its plans to mine other proof-of-work cryptocurrencies like ETC, Dogecoin (DOGE) and Litecoin (LTC), among others. However, shifting to a PoW blockchain may undermine the environmental benefits that the PoS version offers.

Ethereum miners can switch to a newly forked version

A Chinese miner who resists Ethereum Network’s shift to proof-of-stake forked Ethereum to preserve the proof-of-work consensus method. The newly forked version is called the EthereumPOW (ETHW), which hopes to accommodate GPU miners in the future.

The trade of tokens reflecting a proof-of-work fork of Ethereum is supported by cryptocurrency exchanges like Poloniex and BitMEX as well as the Tron blockchain.  

Some of the GPU miners may quit the game

Returning to past revenue figures that were provided on Ethereum is difficult. Those chances are low with stablecoin chains or any other PoW blockchain. Overflow of hash rate to alternative GPU mineable coins is also a threat to the mining venture. 

It is challenging to earn previous rewards that were offered on Ethereum, due to which miners started shifting to alternative GPU-mineable coins. However, the increased hash rate means a hike in mining difficulty, causing miners to get rid of GPU miners. 

Hive blockchain agrees that only miners with efficient equipment will succeed in the long run for this reason. As a result, many miners may sell their GPUs if the difficulty of alternate chains keeps increasing.

On the other hand, the selling may not occur since a dumping effect will result from an increasing supply of GPU capability compared to a decrease in demand. Therefore, the likely outcomes of such a scenario can be a vast majority of miners either dumping or selling their equipment at low prices. However, as crypto mining places a lot of strain on the GPU hardware, gamers and even film editors might not be optimistic about buying the machines.

What are the pros and cons of GPU mining?

Using a GPU for mining offers both benefits like scalability and faster processing but with drawbacks such as complex setup processes, maintenance and electricity cost.

GPU mining is inherently more powerful than central processing unit (CPU) mining, as graphical processing units can handle the same calculations faster. In addition, the system’s power can be enhanced by using extra graphic cards, making GPU mining a scalable alternative to CPU mining.

The more advanced GPUs come with gaming, video editing and machine learning support, giving them the versatility to speed up various applications outside of typical graphics rendering. For instance, graphical processing units can render 2D and 3D graphics, allowing gamers to play at larger resolutions.

Similarly, since GPUs have a staggering amount of computational power, they can significantly speed up applications like image recognition that benefit from their highly parallel architecture. In computing, GPU parallel processing refers to the simultaneous execution of numerous calculations or processes.

Nonetheless, the process of setting up a GPU mining rig is quite complex, which involves downloading and configuring software that supports GPU mining, signing up for a mining pool, and creating a worker (mining device’s name that serves as the login for mining software).

Moreover, unexpected errors can cause defects in the equipment, which poses a financial burden on the miner. Also, the cost of electricity may not be covered by the reward (amount of cryptocurrency) earned in return for providing computing power.

What does the Ethereum Merge mean for Ethereum mining and GPU miners?

Ethereum upgraded from proof-of-work to proof-of-stake, meaning miners will be out of work, and their equipment will be useless.

GPU miners are individuals that validate transaction blocks by using specialized graphics cards to solve challenging mathematical challenges. Miners use graphic cards because they can quickly and repeatedly divide and process tasks that need a lot of energy and resources. 

However, Ethereum’s prolonged plan to reduce energy consumption by 99% by phasing out cryptocurrency mining was completed on Sept. 15, raising concerns about existing mining equipment. For instance, it may result in an accumulation of e-waste brought on by increased useless mining rigs, which could trigger another climate emergency, ultimately offsetting the advantages of the switch to the proof-of-stake (PoS) consensus mechanism.

Unlike proof-of-work (PoW), where several computers act as nodes and validate a single block, randomly selected validators create new blocks in PoS. In the long term, this renders thousands of graphical processing unit (GPU) rigs useless, making Ethereum mining less economical than it has previously been.

MicroStrategy completes $3 billion convertible notes offering to buy more Bitcoin

Top 3 reasons why Bitcoin hash rate continues to attain new all-time highs

Bitcoin miners continue to take advantage of the falling GPU prices to upgrade their mining equipment as they aim to remain competitive in the fierce competition.

Throughout the month of October, Bitcoin's (BTC) hash rate surged by 10.8% as it recorded new all-time highs on a daily basis. While the increase in hash rate ensures greater security for the Bitcoin network, multitudes of factors contribute to the metric.

Falling GPU prices

Hash rate relates to the computing power required by Bitcoin miners to mine a block. As a result, a higher hash rate demands stronger mining rigs that could help miners mine a block and earn mining rewards.

As global markets recovered from chip shortages in 2022, the prices of the graphics processing units (GPU) — a key component of mining rigs — came down to a reasonable value. Lower GPU prices initially helped miners offset their operational costs amid an ongoing bear market.

GPU pricing update as of September 2022. Source: Techspot

Bitcoin miners continue to take advantage of the falling GPU prices to upgrade their mining equipment as they aim to remain competitive in the fierce competition. Moreover, major crypto firms such as Grayscale have also revealed plans to invest in Bitcoin mining hardware.

Increasing crypto-friendly jurisdictions

Ever since China imposed a blanket ban on crypto trading and mining, other countries decided to help out the misplaced Chinese miners by providing a safe haven in their own jurisdictions.

Countries including Kazakhstan, Canada and Germany, among others, were among the first choices for Bitcoin miners when it came to relocating their mining operations. As a result, Bitcoin mining became more decentralized as it grew less reliant on China.

However, data from Cambridge Centre for Alternative Finance showed that China resumed its mining operations just 3 months after the ban was imposed, further contributing to the rise in Bitcoin’s hash rate.

The United States currently tops as the biggest contributor to Bitcoin hash rate, with Georgia leading the drive at 30.8%, followed by Texas (11.2%), Kentucky (10.9%) and New York (9.8%).

The Merge: Ethereum’s transition to proof-of-stake (PoS)

Ethereum (ETH) recently transitioned from a proof-of-work (PoW) to a proof-of-stake (PoS) consensus mechanism following the Merge upgrade. As a result, Ethereum no longer supports the use of GPUs for mining operations.

The sudden shift in mining mechanism naturally forced Ethereum miners to sell off or repurpose their equipment towards mining Bitcoin.

Despite the increased network security, the rising hash rate can become a cause for concern as mining revenue in terms of the US dollar struggles to recover amid the ongoing bear market.

MicroStrategy completes $3 billion convertible notes offering to buy more Bitcoin