Planck vs Other Solutions

To fully understand the competition chart above, please read the detailed description below for an extensive explanation on how we are better, each point explained.

We are an AI cloud not a general GPU sharing platform

IO.NET, Akash, and DePINs supply GPU directly (general GPU sharing platform, which is really easy to build), but there are no solutions built on top of it. Consider this: if AWS simply gave its data centers full with GPUs, it would never have been as successful as it is today. The reason for this is that their cloud computing platform, which sits between their clients and GPUs, allows people to leverage their compute to develop and grow websites and applications without having to hire enormous teams who know how to construct everything from scratch on bare metal hardware. Planck offers a cloud computing infrastructure sandwiched between GPUs and AI clients. It is our own AI cloud that provides all kinds of solutions from fine-tuning, inferencing, model deployment, and custom ML pipeline advice and custom creation by our team for model training, this makes Planck easy to use and a real AI Cloud.

Security

IO.NET, Akash, and other DePINs use the kernels of the devices that contribute processing power. This means that if there is a kernel-level vulnerability, the entire device, including all data, is compromised and cannot be recovered. This is a major security risk when using personal devices, including high-quality GPUs, in datacenters. Our mining application includes PlanckOS, which is a custom linux distribution and is custom build by our team. It uses a separate kernel for code isolation, which totally eliminates any kernel-level vulnerabilities on the host machine.

Configuration of Compute

IO.NET, Akash, and other DePINs rely on typical Docker images, which are difficult for non-technical users to use and do not let them specify how much processing power they wish to supply, restricting customisation. Planck's mining application allows users to specify how much computational power they want to provide via a slide bar. The settings offer numerous customisation options for how much hardware (GPU, RAM, CPU) you wish to send to the network.

Supported for All Major OS

Planck’s mining application supports various kinds of devices from smartphones to desktops to big data centers for distributing AI workloads.

Accessibility

With IO.NET and Akash and other DePINs you need technical knowledge to install their mining software in your terminal. 89% of people on earth don’t even know how to change their Wi-Fi password, so these DePINs that require technical knowledge to participate exclude 90%+ of the world from being a part. Planck developed a very easy-to-use mining application, it requires zero technical knowledge, everybody can participate.

Business Volume

IO.NET, Akash, and other DePINs charge their clients with volatile native tokens, which is a major drawback of their systems. While these DePINs appear to rely on web3 AI apps or compute customers who are comfortable paying in a token that fluctuates on the exchange daily, web2 AI is not. And the tremendous adoption of AI is baked into web2, not web3. These web2ai enterprises will not pay for their business operations using this volatile currency. No CFO in the world will accept that. Planck charges in dollars via a Stripe integration, money flows into our Dubai bank account, and we buy back $PLANCK tokens with 90% of the revenue and return it to the mining pool allocation; this is how we completely serve web2 who do not want to deal with crypto while maintaining buy pressure on the chart.