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Who Are We?

Introduction​

StarLanAI is the first AI Model-as-a-Service (MaaS) DePIN network, capable of running large multimodal models using any type of DePIN computing devices.

We support running AI DApps on DePIN devices, and you can contribute computing devices such as PCs, mobiles, GPUs, etc., to access the network for more benefits.

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Product Modules​

  1. Cloud-Native Enhanced DePIN Networks Utilizing microservices, containers, immutable infrastructure, and declarative APIs to ensure the rapid and resilient deployment of GenAI services on any type of computing device.
  2. Generative AI models as a service (MaaS) Providing multimodal large models through cloud services and APIs, including text, voice, image, and video, etc., allowing for scalability, ease of access, and flexibility.
  3. Generative AI Applications Matrix Offering GenAI applications like AI Avatars, AI Face Swap, and AI Style Transform generation at GPT-level quality, compatible with blockchains including Solana, Ethereum, Bitcoin and more.
Tips

For example, you can conveniently create on-chain AI avatars and chat with AI avatars on the blockchain. Also, you can use AI Dapps to create your pictures. Both utilize the latest AI model technologies, such as LLM, langchain, ReAct, Chain-of-Thought, Vllm, VITS-fast-fine-tuning, Lora, etc.

Visions​

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Harness All Idle Compute Resources

We integrate various unused computing powers, including GPUs such as the 4090, 3090, and 3080, as well as computing from PCs, edge devices, and mobile platforms, transforming them into a versatile resource pool for multimodal large-scale models.

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Innovative AI Layer2 for Blockchains

Advance Solana and others with AI Layer 2, bringing Web 2.0 AI users to blockchain. We aim to build a healthy economic ecosystem among compute providers, developers, AI creators, and public blockchains, fostering mutual growth and innovation.

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Simplifying AI Development with One-Click APIs

Our platform offers developers easy-to-use APIs and cloud services, enabling seamless use and further development of all open-source large models without requiring in-depth technical knowledge.