There are several other blockchains and projects that focus on AI (artificial intelligence) and RWA (Real-World Assets) that use NVIDIA, Intel, AMD and in general GPU/CPU for the acceleration of intensive calculations. These technologies are fundamental for the training and inference of AI models and are widely used on decentralized platforms that run AI applications or integrate real-world assets.

BITTENSOR
Bittensor is a decentralized network that combines AI and blockchain to incentivize the development and contribution of AI models. The main goal of Bittensor is to create an ecosystem where AI model contributors can collaborate, share resources and expertise, and receive rewards for their work in the form of cryptocurrency ($TAO). Bittensor uses a mechanism called Proof Of Intelligence, which evaluates the quality of AI models contributed by participants. Instead of using traditional Proof Of Work or Proof Of Stake, POI evaluates the effectiveness of an AI model in solving specific problems, rewarding those who provide correct contributions.

RENDER NETWORK
Render Network is a blockchain that enables distributed rendering of images and 3D graphics using the power of GPU spread across a decentralized network. While Render Network's primary focus is on graphics, its GPU, often NVIDIA, can also be used to perform complex calculations, including those related to artificial intelligence. The platform is not only used by artists and designers, but also by AI model developers who need GPU for training and inferencing neural networks.

INTERNET COMPUTER PROTOCOL
Internet Computer aims to decentralize the infrastructure of the internet, allowing websites, dApps, smart contracts and complex data systems to run natively on the blockchain. ICP aims to provide a decentralized infrastructure for applications including artificial intelligence. With its ability to run complex computations at scale and its ambition to replace the centralized cloud, it can be used as a platform to develop and run AI applications in a decentralized way.

AKASH NETWORK
Akash Network is a decentralized cloud computing platform, known as the "decentralized cloud for Web3". Akash aims to provide an alternative solution to centralized cloud providers such as Amazon Web Services (AWS), Google Cloud and Microsoft Azure, making cloud computing accessible to a decentralized and P2P community. Akash allows users to rent unused computing resources from data centers or private infrastructure, creating a global network of computing power providers. This decentralized model reduces costs, increases efficiency, security, and reduces dependency on large centralized providers.

ARKHAM
Arkham is a platform that provides on-chain analytics tools, using advanced techniques to track and monitor addresses and activity on the blockchain.
Arkham is closely connected to AI, as it uses artificial intelligence and machine learning techniques to analyze large amounts of data. These tools are useful for identifying patterns, fund tracking, and other suspicious activity, making AI a crucial component to its operation.

ARTIFICIAL SUPERINTELLIGENCE ALLIANCE
This token called $FET brings together the three projects mentioned below: Fetch AI, SingularityNET, and Ocean Protocol.

FETCH AI
Fetch.ai uses autonomous AI-powered agents to perform tasks such as transportation network optimization, resource management, and other decentralized economic applications. Fetch.ai AI models require high computational power, which can be accelerated with NVIDIA GPUs, especially for training the machine learning algorithms that power these autonomous agents.

SINGULARITYNET
SingularityNET is a decentralized platform that allows developers to create, share, and monetize AI algorithms. Through this network, AI algorithms are run using distributed computational resources.
GPUs are used for applications such as image recognition, natural language processing, and other complex functions.

OCEAN PROTOCOL
On Ocean Protocol, NVIDIA GPUs are used to run AI models on datasets shared across the platform. Specifically, data providers can use GPU power to run machine learning algorithms on monetized data, while data consumers can request access to GPU computing power to analyze large volumes of data.

CORTEX LABS
Cortex aims to integrate AI models into smart contracts. On the platform, developers can build and deploy AI models that run directly on the blockchain. Cortex network miners use GPUs to run deep learning models and provide computational power to smart contracts that require AI data processing.

NUMER.AI
Numer.ai (ex Numeraire) is a decentralized hedge fund platform that uses machine learning models to predict financial markets. Model developers can use GPU to run analytics on large datasets and optimize their predictions. This project is an AI and machine learning intensive project, leveraging GPUs to run complex models.

GOLEM NETWORK
Golem is a decentralized network that allows users and developers to rent computational power. NVIDIA GPU are essential for rendering and machine learning tasks that can be run on the Golem network. Golem provides access to powerful GPU for tasks such as training large-scale neural models.

H2O AI
H2O.ai is an AI platform that offers automated machine learning tools and integrates with blockchains such as Ocean Protocol to facilitate training AI models in a decentralized manner. NVIDIA GPU are widely used for accelerating model training on distributed datasets.

THE GRAPH
The Graph is not strictly connected to AI because it is a data indexing and querying protocol for blockchain networks, designed to make complex information accessible. It is often described as the "search engine of blockchains" because it allows decentralized applications to perform queries and searches. Its ability to handle large amounts of structured data makes it an important tool for AI applications that require access to decentralized data. Artificial intelligence often requires large data of some kind, and The Graph is used as the infrastructure to provide it in real time.

AIOZ NETWORK
Aioz Network is a blockchain platform that focuses on the decentralized distribution of media content, using a network of P2P nodes to reduce costs and improve efficiency. AI is used to optimize content distribution, storage, DePIN, improve streaming efficiency and provide personalized recommendations to users. Decentralized media distribution and computing can benefit from AI models, for example in improving video quality or dynamically managing network resources.

Be careful, these infrastructures are AI-based, however this does not mean that the token must perform well long term. AI is a big trend in both crypto and stocks but it will not last forever! DYOR.

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