The New Miner Paradyme
Proof of work Mining was very popular back in the day. I started mining in 2011 and helped build multiple mining operations out of thousands of video cards. I remember walking into Fry Electronics in Tempe Arizona to buy some video cards and there were no video cards in the entire store.
Miners had figured out how to buy an Nvidia Video Card, plug into Mempool, and earn digital currencies that same day. Payback for a video card at one point was a matter of weeks. The gear Proof of Work miners used back in the day was Nvidia Cuda Cores. Proof of work and mining is gone, but the people who liked the passive income it created?
They are still around.
Mining is coming back, except it is much bigger this time. And not just mining for consensus. The next iteration will not solve complicated math problems, or provide consensus. The next iteration will provide Bandwidth, Compute, and Storage for AI. And it will not be in a centralized data center, it will be distributed worldwide. And it will be located near where you are which means you can get involved.
This is being accomplished on a new kind of decentralized network known as Depin Networks (Decentralized Public Infrastructure Networks). DePINs are peer-to-peer (P2P) networks where individuals contribute physical infrastructure resources like data storage, wireless connectivity, sensors, or even energy grids. In return, they earn rewards as per the protocol’s incentive mechanism.
The concept of using incentives and game theory to turn the flywheel of a system for long-term viability is not new to WEB3. DePINs, however, merge the game theory associated with blockchains with practical, real-world applications that appeal to the masses.
Mining Value
Data is now more valuable than gold or oil. In 2023, investment in artificial intelligence (AI) reached $142.3 billion, a significant increase from the $92 billion invested in 2022. This growth is due to increased corporate interest and startup funding. In a major shift, artificial intelligence (AI) has emerged as the top investment priority for enterprises in 2024, outpacing both security and cloud deployment.
A recent survey by industry analyst firm IDC, sponsored by Lumen Technologies, reveals that 73% of midsize and large enterprises are either currently utilizing AI or plan to do so within the next 12 months to enhance customer engagement. Large enterprises are leading this charge, with 81% of companies with over 5,000 employees adopting AI, compared to 67% of midsize companies (500-4,999 employees).
The AI market is expected to grow from around $200 billion in 2023 to over $1.8 trillion by 2030.
AI startups, collect information from locations all around the globe and use this data to build and store one of the largest data silos the world has ever known. This is where AI draws its intelligence. Large Language Models all have extensive databases. They need to have data added and then will access that data as the AI goes to work.
The Large Language Model (LLM) is a type of artificial intelligence (AI) that can understand, process, and generate human language. LLMs are trained on large amounts of text data to learn statistical relationships and predict the next word or sequence of words. Most of that information comes from the internet.
Today, and continuing through the next few years, more and more AI startups are beginning to collect data for their LLM. And it’s not just a handful of AI startups it’s thousands of very large databases spinning up all at the same time. They need storage and connectivity to collect that data. There is a huge and rapidly growing demand for these services right now.
Grass for instance. Grass is still in beta, Grass’s network uses your excess bandwidth to scrape AI data from the internet. This is how AI labs train their language models, we can learn a bit about what types of material the network accesses, and why your data is not part of the equation.
I am mining Grass, you can register here with my link for free and start earning today -https://app.getgrass.io/register?referralCode=y9S908tvyxFhFdr
UpRock is another – Democratizing the AI internet future.
Data is now more valuable than gold or oil. Seize this untapped resource with UpRock, leverage your unused internet, and take advantage of the AI internet future. Real browsers, real devices, real rewards.
Join the first AI data network that rewards the community here using my link – https://link.uprock.com/i/471f984b
When data collection for all of these LLMs is completed, these thousands of well-funded AI startups are going to need to compute that data to provide the things AI is good at. Like a customized super helpful virtual customer service AI at a resort using Nvidia Nim’s, or using positive feedback loops to increase efficiencies in workflows.
All of the infrastructure for this still needs to be built. In a traditional setting, a network provider, like a cloud storage company, pays stakeholders to build and maintain the infrastructure. There are obvious downsides to this like high entry barriers for new entrepreneurs, and the threat of centralization.
Decentralized Physical Infrastructure Networks turn this around by offloading the aspect of building and maintaining the entire infrastructure. The concept is that, with enough participants, the entire network would be self-sustained like its own economic cocoon.
Simply put, DePINs thrive in the web of connectivity by leveraging the core principles of distributed networks to address the challenges of physical infrastructure management. The value of a network often increases as more people participate. As incentivized individuals share their resources, the overall infrastructure becomes more extensive and valuable. This incentivizes further participation and fuels the network effect.
For the most part, the industry is DIY. File coin for Storage, UpRock for Bandwith, someone else for computing, and then a bunch of Zappier work to tie things together.
This is why there is Revofi.
RevoFi is at the forefront of decentralized technology, transforming how we connect and compute.
With our innovative edge computing solutions, we bridge the gap between IoT, AI, and blockchain to create a seamless, secure, and scalable network experience.
Managed devices you place in your locations. Imagine AI customer experiences at your location. Then imagine, renting this resource out to other AI, when you’re not using it.
Revofi Managed Service is an innovative platform that leverages decentralized infrastructure to maximize the use of edge computing devices.
By automating network optimization and deploying a variety of workloads, RevoFi allows users to earn revenue through multiple streams. This managed service seamlessly integrates AI, blockchain, and cloud technologies, providing opportunities to monetize onboard resources such as CPU, GPU, Bandwith, and storage. Whether through token earnings, cash payouts, or the direct sale of resources, RevoFi enables continuous revenue generation in a decentralized ecosystem.
Technical Specification
CPU / GPU / Memory / Storage
- Computing with Jetson Nano
- GPU – NVIDIA Maxwell architecture with 128 NVIDIA CUDA® cores
- CPU – Quad-core ARM Cortex-A57 MPCore processor
- 4 GB 64-bit LPDDR4, 1600MHz 25.6 GB/s
- 16 GB eMMC 5.1
- Micro SD Card – 256GB / 400GB / 512GB / 1TB
Wi-Fi 6 Mesh
- ARM Cortex R4 Processor
- Full host CPU offload from Jetson Nano
- 32-bit RISC Microprocessor (MCU) onboard
- 4T4R – 2×2 + 2×2 DBDC (circuit 4 RF outputs 2×2.4GHz, 2x5GHz, 2 radios in driver)
- Multi-user MIMO (MU-MIMO)
- 1800 Mbps PHY rate
- IEEE 802.11ax/ac + IEEE 802.11 ac/a/b/g/n
- Intelligent power saving
- Wi-Fi Alliance EasyMeshTM
Wi-Fi 5
- MediaTek MT7610OU Chipset
- IEEE 802.11ac/a/b/g/n
- 2.4GHz / 5GHz
- Up to 433Mbps rate
Cellular Backhaul
Additional Features & Capabilities (IO Expansion – Internal)
- 1x CSI Camera Lane
- 4x USB 3.0 Ports
- 1x USB 2.0 Port
Power Consumption
- Avg. Total Watts 25.5
- Avg. Total Amps 2.13
Currently taking orders for 1st quarter 2025
Quantities of 10, 100, and 1,000.
For more information please email MikeNoel@100Zero.US