GPU – Earlybirds Invest https://earlybirdsinvest.com Latest Crypto News Sun, 14 Sep 2025 13:22:16 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.7 https://i0.wp.com/earlybirdsinvest.com/wp-content/uploads/2024/12/cropped-New-Project-2024-12-17T235703.455.png?fit=32%2C32&ssl=1 GPU – Earlybirds Invest https://earlybirdsinvest.com 32 32 240146708 AI, Mining News: GPU Gold Rush: Why Bitcoin Miner Powers AI Expansion https://earlybirdsinvest.com/ai-mining-news-gpu-gold-rush-why-bitcoin-miner-powers-ai-expansion/ https://earlybirdsinvest.com/ai-mining-news-gpu-gold-rush-why-bitcoin-miner-powers-ai-expansion/#respond Sun, 14 Sep 2025 13:22:16 +0000 https://earlybirdsinvest.com/ai-mining-news-gpu-gold-rush-why-bitcoin-miner-powers-ai-expansion/

When Core Scientific signed a $3.5 billion deal to host artificial intelligence (AI) Datacenters were chasing a more stable salary earlier this year, rather than chasing the next crypto token. Once known for its huge fleet of Bitcoin mining rigs, the company is now part of a growing trend: converting energy-intensive mining operations into high-performance AI facilities.

Bitcoin miners like core, hat 8 (Housing) and Terrolf (Wolf) We are replacing ASIC machines (dedicated Bitcoin mining computers) for GPU clusters driven by the temptation of AI’s explosive growth and the harsh economics of crypto mining.

Power play

It is no secret that Bitcoin mining requires a wide range of energy. This is the biggest cost of minting new digital assets.

Back in the 2021 Bull Run, when the hashrate and difficulties on the Bitcoin network were low, miners were making like bandits with a 90% margin. Then came the brutal code winter and half events, cutting mining fees in half. In 2025, miners are struggling to survive on the thin razor rim, as hashrate and energy prices skyrocket.

However, the biggest input cost, the need for power, is a disguise blessing for these miners who needed different strategies to diversify revenue streams.

With competition for the mining intensified, miners continued to source more machines to stay on the water, which required more electricity and more electricity at a cheaper price. Miners have invested heavily in securing these low-cost energy sources, such as hydroelectric power generation and chained natural gas sites, and have developed expertise in managing high-density cooling and electrical systems that were polished during the crypto boom of the early 2020s.

This is what caught the attention of AI and cloud computing companies. Bitcoin relies on professional ASICs, but AI thrives on versatile GPUs like NVIDIA’s H100 series. This requires a similar high power environment, but is necessary for parallel processing tasks in machine learning. Instead of building a data center from scratch, taking over a mining infrastructure that already has power has become a faster way to increase the speedup of AI-related infrastructure.

Essentially, these miners are retrofitting, not just pivots.

The cooling systems built during Crypto Boom, low-cost energy contracts, and high-power density infrastructures currently serve the new objectives that are being fed into AI models for companies such as Openai and Google.

Companies like Crusoe Energy sell mining assets to focus solely on AI and deploy GPU clusters in remote, energy-rich locations that reflect the decentralized ethos of crypto, but are now focusing on AI hyperscalar.

Terraforming AI

Bitcoin mining effectively “terraforms” the terrain for AI calculations by building the scalable, power-efficient infrastructure that AI desperately needs.

As Nicholas Gregory, director of Fragrant Prosperity, put it, “You can argue that Bitcoin paved the way for digital dollar payments, as you can see in USDT/Tether. It also looks like a Bitcoin Terra Formation data center for AI/GPU computing.”

This existing “terraforming” allows miners to rapidly renovate their facilities in less than a year, often compared to the multi-year timelines of traditional data center builds. Companies like Crusoe Energy sell mining assets to focus solely on AI and deploy GPU clusters in remote, energy-rich locations that reflect the decentralized ethos of crypto, but are now focusing on AI hyperscalar.

Higher return

In reality, this means that miners can turn their facilities upside down within a year. This is faster than the multi-year timeline for the new data center.

However, AI is not a cheap upgrade.

Bitcoin mining setups are relatively modest, with costs ranging from $300,000 to $800,000 per megawatt (MW) It excludes ASICs and allows for rapid scalability according to the market cycle. Meanwhile, AI infrastructures have significantly higher CAPEX due to the need for advanced liquid cooling, redundant power systems, and the GPU itself. Despite the sudden upfront costs, AI provides miners with up to 25 times more revenue per kilowatt-hour than Bitcoin mining, making it economically attractive amid rising energy prices and declining cryptocurrency.

A niche industry worth billions

As AI continues to surge and crypto profits tighten, Bitcoin mining can become a niche game. Particularly, the next task in 2028 can make many tasks unprofitable without breakthroughs in efficiency or energy costs.

The forecast shows that the global crypto mining market has grown to $3.3 billion by 2030, but at a 6.9% CAGR, billions will be hidden by the exponential expansion of AI. According to KBV Research, global AI in the mining market is projected to reach $43.594 billion by 2032, expanding at compound annual growth rate (CAGR) 40.6%.

As investors are already seeing dollar signs in this shift, the broader trend suggests that the future is a complete conversion to hybrid or AI. A stable contract with Hypescalar promises a longer life than the crypto boom bust cycle.

This evolution not only reuses idle assets, but also highlights how yesterday’s crypto frontier is forgering tomorrow’s AI empire.

]]> https://earlybirdsinvest.com/ai-mining-news-gpu-gold-rush-why-bitcoin-miner-powers-ai-expansion/feed/ 0 58396 The PlayStation 5 is powered by a GPU roughly equal to which PC graphics card? https://earlybirdsinvest.com/the-playstation-5-is-powered-by-a-gpu-roughly-equal-to-which-pc-graphics-card/ https://earlybirdsinvest.com/the-playstation-5-is-powered-by-a-gpu-roughly-equal-to-which-pc-graphics-card/#respond Thu, 22 May 2025 22:35:25 +0000 https://earlybirdsinvest.com/the-playstation-5-is-powered-by-a-gpu-roughly-equal-to-which-pc-graphics-card/ Choose wisely! The correct answer, the explanation, and an intriguing story await.

The PlayStation 5 is powered by a custom AMD GPU based on the RDNA 2 architecture. In terms of performance, it is roughly equivalent to the AMD Radeon RX 6700 XT. This custom GPU features 36 compute units operating at variable frequencies of up to 2.23 GHz, delivering approximately 10.28 teraflops of graphical processing power.

While these specs place it in the same general performance tier as the RX 6700 XT, direct comparisons can vary due to the PS5’s highly optimized and integrated hardware design, which allows developers to extract more consistent real-world performance than a similarly specced PC GPU might achieve.

In the PC realm, the Radeon RX 6700 XT competed against Nvidia’s GeForce RTX 3060 Ti and performs slightly below the RTX 4060 Ti in terms of raw rasterization power. However, these comparisons can depend on the specific game and workload, especially when considering features like ray tracing and DLSS, where Nvidia GPUs tend to handle differently than AMD’s offerings.

Complementing the GPU, the PS5 also includes a custom AMD Zen 2-based CPU.

This processor has 8 cores and 16 threads, running at up to 3.5 GHz with variable frequency. The Zen 2 architecture (used in the AMD Ryzen 3000 desktop PC CPU series, for example) was a significant leap in performance and efficiency compared to previous generations.

The PlayStation 5 is equipped with 16 GB of GDDR6 memory, shared between the CPU and GPU in a unified memory architecture. This configuration provides high bandwidth (up to 448 GB/s) and low latency, facilitating rapid data access and efficient resource sharing. This unified approach helps game developers streamline asset streaming and memory management, contributing to smoother performance and faster load times, especially when paired with the console’s fast NVMe SSD.

]]> https://earlybirdsinvest.com/the-playstation-5-is-powered-by-a-gpu-roughly-equal-to-which-pc-graphics-card/feed/ 0 37757 AI's GPU obsession blinds us to a cheaper, smarter solution https://earlybirdsinvest.com/ais-gpu-obsession-blinds-us-to-a-cheaper-smarter-solution/ https://earlybirdsinvest.com/ais-gpu-obsession-blinds-us-to-a-cheaper-smarter-solution/#respond Fri, 09 May 2025 15:06:06 +0000 https://earlybirdsinvest.com/ais-gpu-obsession-blinds-us-to-a-cheaper-smarter-solution/

Opinion by: Naman Kabra, co-founder and CEO of NodeOps Network

Graphics Processing Units (GPUs) have become the default hardware for many AI workloads, especially when training large models. That thinking is everywhere. While it makes sense in some contexts, it’s also created a blind spot that’s holding us back.

GPUs have earned their reputation. They’re incredible at crunching massive numbers in parallel, which makes them perfect for training large language models or running high-speed AI inference. That’s why companies like OpenAI, Google, and Meta spend a lot of money building GPU clusters.

While GPUs may be preferred for running AI, we cannot forget about Central Processing Units (CPUs), which are still very capable. Forgetting this could be costing us time, money, and opportunity.

CPUs aren’t outdated. More people need to realize they can be used for AI tasks. They’re sitting idle in millions of machines worldwide, capable of running a wide range of AI tasks efficiently and affordably, if only we’d give them a chance.

Where CPUs shine in AI

It’s easy to see how we got here. GPUs are built for parallelism. They can handle massive amounts of data simultaneously, which is excellent for tasks like image recognition or training a chatbot with billions of parameters. CPUs can’t compete in those jobs.

AI isn’t just model training. It’s not just high-speed matrix math. Today, AI includes tasks like running smaller models, interpreting data, managing logic chains, making decisions, fetching documents, and responding to questions. These aren’t just “dumb math” problems. They require flexible thinking. They require logic. They require CPUs.

While GPUs get all the headlines, CPUs are quietly handling the backbone of many AI workflows, especially when you zoom in on how AI systems actually run in the real world.

Recent: ‘Our GPUs are melting’ — OpenAI puts limiter in after Ghibli-tsunami

CPUs are impressive at what they were designed for: flexible, logic-based operations. They’re built to handle one or a few tasks at a time, really well. That might not sound impressive next to the massive parallelism of GPUs, but many AI tasks don’t need that kind of firepower.

Consider autonomous agents, those fancy tools that can use AI to complete tasks like searching the web, writing code, or planning a project. Sure, the agent might call a large language model that runs on a GPU, but everything around that, the logic, the planning, the decision-making, runs just fine on a CPU.

Even inference (AI-speak for actually using the model after its training) can be done on CPUs, especially if the models are smaller, optimized, or running in situations where ultra-low latency isn’t necessary.

CPUs can handle a huge range of AI tasks just fine. We’re so focused on GPU performance, however, that we’re not using what we already have right in front of us.

We don’t need to keep building expensive new data centers packed with GPUs to meet the growing demand for AI. We just need to use what’s already out there efficiently.

That’s where things get interesting. Because now we have a way to actually do that.

How decentralized compute networks change the game

DePINs, or decentralized physical infrastructure networks, are a viable solution. It’s a mouthful, but the idea is simple: People contribute their unused computing power (like idle CPUs), which gets pooled into a global network that others can tap into.

Instead of renting time on some centralized cloud provider’s GPU cluster, you could run AI workloads across a decentralized network of CPUs anywhere in the world. These platforms create a type of peer-to-peer computing layer where jobs can be distributed, executed, and verified securely.

This model has a few clear benefits. First, it’s much cheaper. You don’t need to pay premium prices to rent out a scarce GPU when a CPU will do the job just fine. Second, it scales naturally.

The available compute grows as more people plug their machines into the network. Third, it brings computing closer to the edge. Tasks can be run on machines near where the data lives, reducing latency and increasing privacy.

Think of it like Airbnb for compute. Instead of building more hotels (data centers), we’re making better use of all the empty rooms (idle CPUs) people already have.

Through shifting our thinking and using decentralized networks to route AI workloads to the correct processor type, GPU when needed and CPU when possible, we unlock scale, efficiency, and resilience.

The bottom line

It’s time to stop treating CPUs like second-class citizens in the AI world. Yes, GPUs are critical. No one’s denying that. CPUs are everywhere. They’re underused but still perfectly capable of powering many of the AI tasks we care about.

Instead of throwing more money at the GPU shortage, let’s ask a more intelligent question: Are we even using the computing we already have?

With decentralized compute platforms stepping up to connect idle CPUs to the AI economy, we have a massive opportunity to rethink how we scale AI infrastructure. The real constraint isn’t just GPU availability. It’s a mindset shift. We’re so conditioned to chase high-end hardware that we overlook the untapped potential sitting idle across the network.

Opinion by: Naman Kabra, co-founder and CEO of NodeOps Network.

This article is for general information purposes and is not intended to be and should not be taken as legal or investment advice. The views, thoughts, and opinions expressed here are the author’s alone and do not necessarily reflect or represent the views and opinions of Cointelegraph.

]]> https://earlybirdsinvest.com/ais-gpu-obsession-blinds-us-to-a-cheaper-smarter-solution/feed/ 0 35285 Microsoft’s BitNet shows what AI can do with just 400MB and no GPU https://earlybirdsinvest.com/microsofts-bitnet-shows-what-ai-can-do-with-just-400mb-and-no-gpu/ https://earlybirdsinvest.com/microsofts-bitnet-shows-what-ai-can-do-with-just-400mb-and-no-gpu/#respond Sun, 20 Apr 2025 20:31:37 +0000 https://earlybirdsinvest.com/microsofts-bitnet-shows-what-ai-can-do-with-just-400mb-and-no-gpu/

What just happened? Microsoft has introduced BitNet b1.58 2B4T, a new type of large language model engineered for exceptional efficiency. Unlike conventional AI models that rely on 16- or 32-bit floating-point numbers to represent each weight, BitNet uses only three discrete values: -1, 0, or +1. This approach, known as ternary quantization, allows each weight to be stored in just 1.58 bits. The result is a model that dramatically reduces memory usage and can run far more easily on standard hardware, without requiring the high-end GPUs typically needed for large-scale AI.

The BitNet b1.58 2B4T model was developed by Microsoft’s General Artificial Intelligence group and contains two billion parameters – internal values that enable the model to understand and generate language. To compensate for its low-precision weights, the model was trained on a massive dataset of four trillion tokens, roughly equivalent to the contents of 33 million books. This extensive training allows BitNet to perform on par with – or in some cases, better than – other leading models of similar size, such as Meta’s Llama 3.2 1B, Google’s Gemma 3 1B, and Alibaba’s Qwen 2.5 1.5B.

In benchmark tests, BitNet b1.58 2B4T demonstrated strong performance across a variety of tasks, including grade-school math problems and questions requiring common sense reasoning. In certain evaluations, it even outperformed its competitors.

What truly sets BitNet apart is its memory efficiency. The model requires just 400MB of memory, less than a third of what comparable models typically need. As a result, it can run smoothly on standard CPUs, including Apple’s M2 chip, without relying on high-end GPUs or specialized AI hardware.

This level of efficiency is made possible by a custom software framework called bitnet.cpp, which is optimized to take full advantage of the model’s ternary weights. The framework ensures fast and lightweight performance on everyday computing devices.

Standard AI libraries like Hugging Face’s Transformers don’t offer the same performance advantages as BitNet b1.58 2B4T, making the use of the custom bitnet.cpp framework essential. Available on GitHub, the framework is currently optimized for CPUs, but support for other processor types is planned in future updates.

The idea of reducing model precision to save memory isn’t new as researchers have long explored model compression. However, most past attempts involved converting full-precision models after training, often at the cost of accuracy. BitNet b1.58 2B4T takes a different approach: it is trained from the ground up using only three weight values (-1, 0, and +1). This allows it to avoid many of the performance losses seen in earlier methods.

This shift has significant implications. Running large AI models typically demands powerful hardware and considerable energy, factors that drive up costs and environmental impact. Because BitNet relies on extremely simple computations – mostly additions instead of multiplications – it consumes far less energy.

Microsoft researchers estimate it uses 85 to 96 percent less energy than comparable full-precision models. This could open the door to running advanced AI directly on personal devices, without the need for cloud-based supercomputers.

That said, BitNet b1.58 2B4T does have some limitations. It currently supports only specific hardware and requires the custom bitnet.cpp framework. Its context window – the amount of text it can process at once – is smaller than that of the most advanced models.

Researchers are still investigating why the model performs so well with such a simplified architecture. Future work aims to expand its capabilities, including support for more languages and longer text inputs.

]]> https://earlybirdsinvest.com/microsofts-bitnet-shows-what-ai-can-do-with-just-400mb-and-no-gpu/feed/ 0 31917 Comment on Is the New Biostar TB250-BTC Any Good for GPU Mining? by Anonymous https://earlybirdsinvest.com/comment-on-is-the-new-biostar-tb250-btc-any-good-for-gpu-mining-by-anonymous/ https://earlybirdsinvest.com/comment-on-is-the-new-biostar-tb250-btc-any-good-for-gpu-mining-by-anonymous/#respond Fri, 18 Apr 2025 17:19:05 +0000 https://earlybirdsinvest.com/comment-on-is-the-new-biostar-tb250-btc-any-good-for-gpu-mining-by-anonymous/

It might be complicated to get the desired set of new-gen GPUs that would be profitable to use for mining, but it’s even harder to find a motherboard that would support them. Some MoBos require bios tweaking in order to run properly, while others lower the hashrate or have stability issues when under full load.

Of course, this applies if you have six GPUs in the rig, which seems to be the most common rig setup nowadays.

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Biostar TB250-BTC Review – 6x GPU Mining Motherboard

AsRock was the brand #1 when it came to mining Motherboards. Their latest model, the H81 Pro BTC was the perfect fit for crypto miners. Now, with the growing popularity of altcoin mining, the company seems to have issues with supplying enough quantity of those MoBos. While good and affordable, one no longer can find them in the market.

This is where Biostar saw an opportunity and came with their new MoBo model, the TB250-BTC. This new MoBo is being advertised as being tailored for Bitcoin mining. That’s actually a poor advertising technique, since no GPU rig stands a chance against modern Bitcoin ASIC miners. However, the rig perfectly fits the needs of altcoin GPU miners.

Just like the AsRock Pro BTC series, the TB250-BTC comes with 6 slots for GPUs and additional 4-pin Molex power connectors. Unlikely its counterpart, the TB250-BTC comes with an up-to-date chipset, which is based on Intel B250. It also supports DDR4 RAM and socket 1151 CPUs.

Is it good for GPU mining? Definitively yes. The only downside is that since it is being manufactured by Biostar, it probably won’t be available as widely as AsRock MoBos are. However, there’s always a way to buy them online.

Entering Biostar with their new model TB250-BTC that is apparently intended for GPU mining rigs with up to 6x video cards and to additional 4-pin Molex power connectors onboard, just like on the AsRock Pro BTC series. To our knowledge this is the first motherboard intended for 6x GPU mining rigs with an up to date chipset, based on Intel B250 and supporting socket 1151 CPUs and DDR4 memory. The motherboard even has an M.2 slot available for installing onboard SSD modules, a feature that might also be interesting for some GPU miners.

Before to continue further, please share this 🙂 thanks!

The only problem with Biostar as a brand is the limited availability on many markets or the total lack of such, unlike AsRock that is available on much more markets worldwide. The Biostar TB250-BTC in not the first attempt at such a solution from the company, they previously had the Biostar TB85 motherboard that also came as an alternative to AsRock’s H81 Pro BTC, but it never got too popular since it was also hard to find on many markets and was more expensive.

 

Where & What to Buy

Biostar TB250-BTCCompatible CPUCompatible RAM

Biostart TB250-BTC Ver. 6.x Review
User Review


2.83
(52 votes)

Disclaimer: This is not financial advise, I am not a financial advisor, this is for educational purposes only. If you want to invest in cryptocurrency please do your own research and invest at your own risk, 1stMiningRig is never liable for any decisions you make. 1stMiningRig may receive donations or sponsorships in association with certain content creation. 1stMiningRig may receive compensation when affiliate/referral links are used.

Thank you for reading. As always, your comments, suggestions and questions are welcome.

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]]> https://earlybirdsinvest.com/comment-on-is-the-new-biostar-tb250-btc-any-good-for-gpu-mining-by-anonymous/feed/ 0 31522 Comment on PandaMiner B1 Plus Review – 8x RX480 GPU Integrated Miner by Anonymous https://earlybirdsinvest.com/comment-on-pandaminer-b1-plus-review-8x-rx480-gpu-integrated-miner-by-anonymous/ https://earlybirdsinvest.com/comment-on-pandaminer-b1-plus-review-8x-rx480-gpu-integrated-miner-by-anonymous/#respond Fri, 11 Apr 2025 05:08:06 +0000 https://earlybirdsinvest.com/comment-on-pandaminer-b1-plus-review-8x-rx480-gpu-integrated-miner-by-anonymous/

PandaMiner is a new company that started manufacturing mining gear in 2016. They aren’t as popular as Bitmain, but their outlook is promising.

PandaMiner decided to get into the market with their first all-in-one miner, the PandaMiner B1 Plus “scrypt asic miner” , multi-algorithm mining. Some people loved it while others hated it (although most of them haven’t tried the miner yet).

There have been a lot of talk about the PandaMiner B1; in this article, we will try to find out what’s really going on.

Overview

The PandaMiner B1 is a pre-assembled GPU mining rig. It consists of eight RX-480 4GB cards assembled together, overclocked and optimized along with an embedded and pre-configured PC with Windows (Chinese). This makes the B1 the perfect rig for those who don’t want to spend hours in Google in order to learn how to assemble, configure and overclock a rig correctly.

However, this does not mean that the PandaMiner B1 Plus is a mining rig for beginners only. According to reviews of people who tried it (and keeping the specs in mind), the rig is actually well-made and it performs as well as you would expect from 8 RX-480s. On the other hand, the price is reasonable too. We will get into detail in a minute.

The usage is extremely simple since the miner includes everything. All you have to do is to plug it into your monitor, run the basic configuration and you’re set to go. This is probably the main selling point of the product.

The Design

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The PandaMiner B1 costs

On AmazonOn PandaMiner’s websiteSet Price Alert

PandaMiner B1 Plus 237MH/s (ETH) & 1880Sol/s (Zcash) 5890H/S (XMR) 1120w-1250w

Amazon.com


Last updated on April 11, 2025 1:12 am

PandaMiner B1 Plus 237MH/s (ETH) & 1880Sol/s (Zcash) 5890H/S (XMR) 1120w-1250w, PandaMiner

PandaMiner B1 Plus 237MH/s (ETH) & 1880Sol/s (Zcash) 5890H/S (XMR) 1120w-1250w

Price History

The only way you can purchase it is by using bitcoin (unless you live in China or from Amazon). This is one of the reasons why some people opted for this miner when it hit the shelves.

Now, let’s be honest – anyone can purchase the same components by separate and assemble their own mining rig. Let’s say you are an experienced miner (or you are a beginner with a lot of spare time) and you decide to make your own rig. How much would it cost?

Shipping costs are not included either, since it greatly depends on the seller. However, if you purchase several components from different sellers, shipping costs might add up quite a lot.

Inside

ROI

Now, let’s get into the most important part. According to official specs (as well as tests performed by individuals), here are the three main mining algorithms and their respective hashrates supported by the miner:

Ethereum (ETH)ZCash (ZEC)Monero (XMR)PandaMiner B1 in Action

Ethereum Hashrate: 237 MH/s
Power Consumption: 1250W
Average profit per month: $180 (1 ETH = $11.30 – February 5 2017)

ZCash Hashrate: 1880 H/s
Power Consumption: 1200W
Average profit per month: $120 (1 ZEC = $38.00 – February 5 2017)

XMR Hashrate: 5890H/S
Power Consumption: 1120W
Profit per month: $180 (1 XMR = $12.81 – February 5 2017)

An this is not all, some users started to create custom Linux OS versions for PandaMiner getting even better hashing speed, stock settings 5890h using claymore (with fee) consuming 1120 watt, with modified rom Linux hashing at 6400h using sgminer (no fee) consuming 880 watt (4amp)! That’s something!!

“Linux + modded roms make this rig ALOT more interesting & attractive”

According to the company website, PandaMiner B1 also supports LBRY, and a couple of other GPU minable cryptocurrencies. Nevertheless, no user confirmed that, yet.

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Reputation

This is a tricky topic because as we said earlier, there is a lot of trash talk about the PandaMiner B1 on the web. It takes a minute to find several forum posts and reviews where people literally spit venom on the miner.

Now, after a bit of research it becomes apparent that the miner was criticized even before it hit the shelves. In most of the cases, people would give their opinions about the company and the product without even trying it first.

The main arguments against the PandaMiner B1 were that:

  • a. PandaMiner is new and has no reputation yet
  • b. You pay too much for something you could do yourself
  • c. You get trusted warranty for products you purchase through Amazon, which means it’s safer to purchase all the components separately and assemble the rig on your own.

Benchmark & Motherboard with AMD GPU

Now, those were the most rational arguments that actually make sense. Problem is – the forums are also filled with people yelling “scam”. That makes no sense, because people would label PandaMiner as “Chinese scammers” way before the miner was even released. Of course, there is a share of real life stories about Chinese companies scamming their customers, but does it mean that every Chinese company is a scam?

Now, if we get back to those three reasonable arguments, we suppose that (A) and (C) make sense – PandaMiner is new to the market and they had no way to prove themselves yet. Now, the whole altcoin mining world is new to, so it would be naïve to expect them to be a company with 10 years of expertise on the field.

The point (B) is rather subjective. We have listed the manufacturing costs, and it’s up to you to decide whether you want to save that money and build the rig on your own.

Testing & Shipping

Where to Buy

USA & Canada

or China from their maine website

PandaMiner’s Website

Help me to buy a PandaMiner

[totaldonations_circle_bar id=”1708″ campaign=”PandaMiner”]
[totaldonations-text-fields text=”I got #total# for the PandaMiner by now. We need to raise #remainder# more to reach our #target# target.” ]

As always, i will keep you updated with the PandaMiners!

PandaMiner B1 Plus Overall Rating

  • Performance

  • Profitability

  • Power Consumption

  • Material

  • Design

  • Price

Summary

Pros

– All-in-one solution that allow you to save research and setup time;
– Great hashrate and good ROI;
– Solid build quality, good components;
– Can be purchased with bitcoins
– 180 days warranty

Cons

– You will be dealing with a new company
– Some parts cannot be re-sold afterwards

Disclaimer: This is not financial advise, I am not a financial advisor, this is for educational purposes only. If you want to invest in cryptocurrency please do your own research and invest at your own risk, 1stMiningRig is never liable for any decisions you make. 1stMiningRig may receive donations or sponsorships in association with certain content creation. 1stMiningRig may receive compensation when affiliate/referral links are used.

Thank you for reading. As always, your comments, suggestions and questions are welcome.

Subscribe and stay tuned for further updates!

To receive the latest updates follow me on social media! 🙂

 

]]> https://earlybirdsinvest.com/comment-on-pandaminer-b1-plus-review-8x-rx480-gpu-integrated-miner-by-anonymous/feed/ 0 30177 Mining is Profitable Again: How to Earn Bitcoins with a Regular GPU in 2025 https://earlybirdsinvest.com/mining-is-profitable-again-how-to-earn-bitcoins-with-a-regular-gpu-in-2025/ https://earlybirdsinvest.com/mining-is-profitable-again-how-to-earn-bitcoins-with-a-regular-gpu-in-2025/#respond Thu, 06 Feb 2025 01:20:45 +0000 https://earlybirdsinvest.com/mining-is-profitable-again-how-to-earn-bitcoins-with-a-regular-gpu-in-2025/

How to Earn Bitcoins Through Mining: A Quick Guide

Below, we’ll explore changes in cryptocurrency mining, Bitcoin’s prospects, and the factors driving this bull run. If you’re eager to start mining right away, here’s a step-by-step guide.

Here’s what you need to do to configure your GPU for mining and, if needed, convert the mined coins into bitcoins:

Visit a mining profitability calculator and enter your GPU model—for example, Nvidia GeForce RTX 3070. Select your GPU to view a list of the most profitable cryptocurrencies to mine.

For instance, Naurai XNA mining generates about $0.62 daily (excluding electricity costs). What’s next?

  • Open the Naurai XNA mining help page.
  • Create a wallet using the provided links. If you prefer, use an address from a cryptocurrency exchange.
  • Download a mining program from this archive (password: 2miners). For Nvidia GPUs, choose T-Rex or GMiner; for AMD GPUs, use NBMiner or TeamRedMiner.
  • Edit the .bat file to include your wallet address. If you want the mining pool to automatically convert your rewards into BTC and send them to you, specify a Bitcoin address.
  • Run the miner, leave your computer running, and enjoy receiving coins over time. If you’ve specified a Bitcoin address, the payouts will be in BTC.
We’ve detailed the process of earning bitcoins through mining in a separate article. Check it out if you’re new to mining.

Most coins on the 2Miners pool allow BTC payouts. You can check for this feature on their homepage.

How to Start Earning Bitcoin and Cryptocurrency in 2025

How much can you earn in dollars through mining? Use the calculator with a more powerful GPU, like the Nvidia GeForce RTX 3090.

Currently, this GPU earns about $1.16 daily. After electricity costs (which vary by location), you can expect approximately $30 monthly or $350 annually.

Is this extra income worthwhile? Definitely. Can Bitcoin or other coins grow by tens or hundreds of percent in months? Absolutely.

Start mining now to capitalize on the bull run. Remember, the bull market won’t last forever, so your GPU won’t need to run for an entire year.

Now, let’s dive into the details.

What’s Changed in Cryptocurrency Mining Over the Years?

Ethereum used to dominate mining due to its accessibility with GPUs instead of noisy, specialized ASICs. However, in September 2022, Ethereum transitioned to a Proof-of-Stake (PoS) consensus algorithm, eliminating GPU mining.

Validators now secure the network by locking 32 ETH in a deposit contract, running validator clients, and performing tasks previously handled by miners. Users can also join staking pools with smaller amounts of ETH.

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This shift left millions of GPUs unemployed, prompting their owners to mine other cryptocurrencies, significantly reducing profitability.

Despite these challenges, mining has evolved, with new Proof-of-Work (PoW) projects emerging. These coins are traded on exchanges, making it easy to convert mining rewards into everyday essentials.

Cryptocurrencies are now experiencing rapid growth, attracting new investors. For instance, the crypto market capitalization has surpassed previous all-time highs from 2021 and continues to climb.

What Can Bitcoin’s Peak Price Be This Cycle?

Analysts at IntoTheBlock studied Bitcoin’s past performance, examining growth after halving events (block reward reductions occurring every four years):

  • 2013 cycle: Bitcoin grew by 7,900%.
  • 2017 cycle: Bitcoin surged by 2,560%.
  • 2021 cycle: Bitcoin rose by 594%.

With each cycle, Bitcoin’s growth rate decreases due to its growing market capitalization, now at $1.9 trillion. IntoTheBlock analysts predict BTC could rise 100–200% from its April 2024 halving price, potentially reaching $130,000–$190,000 this bull run.

Which Coins Can You Mine in 2025?

There are plenty of PoW coins to mine. Here’s a list of popular options with significant market caps, led by Bitcoin.

Their combined market capitalization is $2.08 trillion, with a daily trading volume of $92 billion.

On the 2Miners pool, favorites include Ravencoin, Ethereum Classic, Kaspa, Clore, Cortex, and others. For profitability, use the 2CryptoCalc tool.

Ravencoin surged 44% in a month, ETC rose 56%, Clore jumped 43%, and Cortex delivered 239% monthly growth. Meanwhile, Kaspa (KAS) saw its price multiply by 11x within 18 months.

Exactly a year and a half ago — June 6, 2023 — 1 KAS was worth just 1.4 cents. Today, the coin is valued at $0.16, marking an elevenfold increase. And that’s far from the cryptocurrency’s all-time high.

Experienced players might well hold onto their mined altcoins and sell them later. Sudden spikes in coin values are not uncommon in the crypto industry.

Why mining still makes sense

Some people might think it’s already too late to get involved with coins, believing their first purchase will inevitably trigger a market crash or even usher in a bearish trend in crypto.

However, that’s not entirely true, as there are plenty of reasons to expect the bull run to continue.

Here they are:

  1. Donald Trump won the U.S. presidential election. During his campaign, he expressed support for the crypto industry and promised to implement reasonable regulations for digital assets in the country. This would be unprecedented in America, leading investors to anticipate further global adoption of cryptocurrencies.
  2. The leadership of the Securities and Exchange Commission (SEC) is set to change. The new chairman will be Paul Atkins, known for his favorable stance toward cryptocurrencies. It’s reasonable to assume that the SEC will put an end to the pointless lawsuits against numerous blockchain companies that have plagued the industry in recent years.
  3. Earlier it was announced that Trump has chosen a candidate for the position overseeing AI and cryptocurrency policy. The role will be filled by former PayPal COO David Sacks, who will focus on developing the country’s cryptocurrency regulatory framework.
  4. There’s ongoing discussion in the U.S. and other countries about creating national Bitcoin reserves. For example, a bill proposed by Senator Cynthia Lummis suggests acquiring one million BTC to be held for at least 20 years.
  5. MicroStrategy, led by Michael Saylor, continues to make massive investments in Bitcoin. On Monday, the company announced the acquisition of 21,550 BTC worth $2.1 billion. Moreover, it plans to raise an additional $42 billion in the coming years to purchase more coins.

The current optimism in crypto sometimes leads to absurd price surges. A prime example in recent weeks has been XRP by Ripple.

This month alone, the coin has jumped by 251%, multiplying in value several times. Here’s what XRP’s chart looks like over the past year:

Accumulating Bitcoin and other cryptocurrencies under current conditions seems like a solid idea.

Should You Convert Mining Rewards to Bitcoin?

Some crypto investors are hesitant to engage with altcoins — that is, any coins other than Bitcoin. While altcoins often offer higher returns, this cautious approach is understandable.

First, altcoins tend to have greater volatility, meaning their prices fluctuate much more frequently — including downward. This makes them more unpredictable. New investors are unlikely to be prepared for such swings, so starting their crypto journey with Bitcoin is a reasonable choice.

Second, long-term investments in altcoins are riskier than those in Bitcoin. Many altcoin projects fail to survive market downturns or so-called bear trends. They lose investor interest, see trading volumes drop to mere hundreds of thousands of dollars, and eventually, the coin may become irrelevant.

Is mining still profitable in 2025

A way to mitigate this risk is through the unique feature of the 2Miners mining pool: Bitcoin payouts. As mentioned earlier, rewards earned in other coins can be automatically converted to BTC and sent to the designated wallet address.

However, if you have experience investing in diverse cryptocurrencies and the skill to sell them at pre-determined price levels, mining altcoins can still be a viable option.

Conclusion: Why Mining is Worth Trying

A bull run is the best time for cryptocurrency mining. Coin prices are actively rising, mining generates no losses, and it even allows you to accumulate coins. These coins, in turn, can be automatically converted into Bitcoin.

A prime success story is MicroStrategy. The company invested $25.5 billion in its 423,650 BTC holdings to date, and their value has now grown to $42.5 billion. This means unrealized profits of nearly $17 billion, making the risks of a novice mining new coins seem negligible compared to MicroStrategy’s bold strategy.

Moreover, mining is relatively simple and won’t burn out your GPU. As a bonus, you’ll receive a steady stream of Bitcoin, which can be safely held for several years without fear.

As always, we remain committed to supporting your mining activities. Stay updated through our X (Twitter) and Telegram miner community. Happy mining!

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