What Makes NeurochainAI Smartphone App a Game-Changer?
The AI revolution is happening as we speak, but there’s a huge challenge affecting the pace of innovation in the field - a lack of computational resources.
Fortunately (at least in our case), the challenge served as the catalyst for extensive experimentation with different sources of computational power. Based on our extensive research and experimentations, the smartphone is the perfect solution to the biggest problem in the field.
Thanks to a high-powered processor under its belt, the smartphone is the most widespread tech device capable of serious computing - far more common than a desktop computer. With technology continuously advancing and phones receiving more powerful processing chips with each iteration, the options are limitless.
All this processing power residing in our pockets is underutilized - something we’re planning to turn on its head sooner than you may think.
Costs of AI computational power
Computational resources required to run AI models are extensive as generative AI requires an extraordinary amount of simultaneous computations - something CPUs aren’t designed to do.
Despite that, generative AI is in high demand these days and plenty of companies are diving headfirst into the field - until they’re faced with the hardware costs required.
Sadly, the potential price tag of hardware far outweighs the benefits of many potential AI solutions. To illustrate this point, an Nvidia A100 GPU costs upwards of $10k. Renting isn’t as cost-effective as you may think, requiring an investment of $3 per hour to rent out the processing power on AWS. That is if you’re lucky to get an allocation of A100 on AWS after standing in line.
Ultimately, if a company decides to implement some AI features into their software or develop an AI-based solution, they may struggle to find the cash to turn their dreams into reality. Potential for innovation screeches to a halt thanks to the excessive price of admission.
How do smartphones fit into the picture, though?
Surprise, surprise: not every type of AI app requires that much engine power. Numerous small-scale generative AI models can successfully be powered by smartphone processors. Here are some of the applicable scenarios:
- Customer service chatbots
- Social media monitoring solutions
- Content recommendation
- Risk detection
- Intelligent filtering
- Predictive analytics tools
- Language translation services
- Virtual assistants
- Information extraction
All of the listed above rely on AI but don't require nearly as much computational power as Sora does, for example.
Transformative power of smartphone-based AI mining
Those without a powerful PC or specialized GPU were barred from contributing to the AI industry - until now. With NeurochainAI mobile app, we’re en route to making AI “mining” accessible to the masses.
Smartphones are everywhere and it’s always nighttime somewhere in the world, meaning there are devices plugged in at all times, ready to contribute their processing power when needed. In the NeurochainAI DePIN, any available AI Mining Node can pick up AI compute tasks and execute them. This way, there are always plenty of AI computing resources to go around.
Plus, smartphones are cheap compared to PCs. Since most people purchase a new smartphone every two years or so, they may have multiple devices hiding in their drawers, just waiting to be used. In addition to that, new mobile devices are now equipped with Neural Processing Unites (NPU), a specialized chip for processing AI, making them more adept to the task than some old PCs. Even if you don’t have the latest Pixel Pro, you can use any Android phone - as long as it can support the app and you have a stable internet connection.
Moreover, users can mine anywhere at any time without being locked down to their PC. The process is simple: once you download the app, you don’t need to touch the phone - just keep the app running and make sure it’s charged.
The only additional cost is the electricity, which is an insignifican cost considering that charging a smartphone require very littler electricity. Your earnings will offset this expense by a wide margin.
How to jump aboard?
Although the app will be available on Google Play in the future, it’s currently open only to select early adopters. These users will be invited to test the app and get 50 $NCN for their effort.
To join this exclusive list, just sign up and invite your friends.
Whether you get in will depend on how early you signed up, your location (we need early adopters in different areas), and the number of invites you send out.
This technology is completely fresh so we understand you may be wary of proceeding into the “unknown”.
There is no need to worry. Running the NeurochainAI app only uses GPU/NPU/CPU resources when the network has to perform AI computations. The app is also light and doesn’t store any data on your device or have access to its features - which means you can also use your personal device for AI “mining”.
Another question we get all the time has to do with the hardware required to mine. If your phone has 4GB of RAM, an ARM processor, and is powered by an Android operating system (regardless of the smartphone brand), it will work.
For your effort, you’ll be rewarded with NCN points that you can later convert to $NCN after TGE in a ratio of one-to-one.
The future is here
AI computational resources are a hot commodity at the moment. Despite the prices of hardware setting the bar too high, our app makes it possible and easy for everyone with a simple smartphone to join the revolution.
The benefits are clear. Apart from earning some passive income, you’ll also make a heavy contribution toward innovation in the field. More importantly, you’ll be joining a community firmly set on stopping the monopolization of AI - a noble goal, to say the least.
Add your name to the waiting list - become an early adopter of the most innovative AI “mining” solution at the moment.