Author: Biteye Core Contributor Viee
Editor: Biteye Core Contributor Crush
Community: @BiteyeCN
* The full text is approximately 2500 words, with an estimated reading time of 5 minutes.
From the strong collaboration of AI + DePIN in the first half of the year to the current creation of market value myths by AI + Meme, AI Meme tokens like $GOAT and $ACT have captured most of the market attention, indicating that the AI track has become a core area in the current bull market.
If you are optimistic about the AI track, what can you do? Besides AI + Meme, what other AI sectors are worth paying attention to?
01 AI + Meme Boom and Computing Infrastructure
Continuing to be optimistic about the explosive potential of AI + Meme
AI + Meme has recently swept the entire heat from on-chain to centralized exchanges and continues to show a sustained trend.
If you are an on-chain player, try to choose new narratives, strong communities, and small market cap tokens, as these tokens exhibit significant wealth effects between primary and secondary markets. If you are not playing on-chain, you might consider news arbitrage when certain tokens are announced to be listed on major exchanges like Binance.
Digging for high-quality targets in AI infrastructure layers, especially those related to computing power.
Computing power is the definitive narrative for AI development, and cloud computing will elevate valuation foundations. With the explosive growth of AI computing power demand, especially with the emergence of technologies like large language models (LLMs), the demand for computing power and storage is rising almost exponentially.
The development of AI technology relies on powerful computing capabilities, and this demand is not short-term but a long-term and consistently growing trend. Therefore, projects that provide computing infrastructure essentially solve the fundamental issues of AI development, making them very attractive in the market.
02 Why is Decentralized Computing So Important?
On one hand, the explosive growth of AI computing power faces high costs.
Data from OpenAI shows that since 2012, the amount of computation used to train the largest AI models has nearly doubled every 3-4 months, far exceeding Moore's Law.
With the soaring demand for high-end hardware such as GPUs, the imbalance between supply and demand has caused computing costs to reach new highs. For example, training a model like GPT-3 requires an initial investment of nearly $800 million in GPUs, with daily inference costs reaching as high as $700,000.
On the other hand, traditional cloud computing cannot meet the current computing power demands.
AI Inference has become a core link in AI applications. It is estimated that 90% of the computing resources consumed during the AI model lifecycle are used for inference.
Traditional cloud computing platforms often rely on centralized computing infrastructure. With the dramatic growth of computing demand, this model clearly cannot meet the ever-changing market needs.
03 Project Analysis: The Decentralized GPU Cloud Platform Heurist
@heurist_ai has emerged against this backdrop, providing a brand new decentralized solution for the global distributed GPU network, meeting the computing needs for AI inference and other GPU-intensive tasks.
As a decentralized GPU cloud platform, Heurist is designed for compute-intensive workloads such as AI inference.
It is based on the DePIN (Decentralized Infrastructure Network) protocol, allowing GPU owners to freely offer their idle computing resources to the network, while users can easily access these resources through simple APIs/SDKs to run complex tasks such as AI models and ZK proofs.
Unlike traditional GPU cloud platforms, Heurist eliminates the complex virtual machine management and resource scheduling mechanisms, instead adopting a serverless computing architecture that simplifies the use and management of computing resources.
04
AI Inference: Heurist's Core Advantage
AI inference refers to the computing process based on trained models for real-world application scenarios. Compared with AI training, the computing resources required for inference are relatively less and can usually be efficiently executed on a single GPU or machines with multiple GPUs.
Heurist is designed based on this point to create a globally distributed GPU network that can efficiently schedule computing resources and ensure the rapid completion of AI inference tasks.
At the same time, the tasks supported by Heurist are not limited to AI inference, but also include training of small language models, model fine-tuning, and other compute-intensive workloads. Since these tasks do not require intensive inter-node communication, Heurist can allocate resources more flexibly and economically, ensuring optimal resource utilization.
Heurist's technical architecture adopts an innovative Platform-as-a-Service (PaaS) model, providing a platform that requires no management of complex infrastructure. Users and developers can focus on the deployment and optimization of AI models without worrying about the management and scaling of underlying resources.
05 Heurist Core Features
Heurist offers a range of powerful features designed to meet the needs of different users:
Serverless AI API: Users only need a few lines of code to run over 20 fine-tuned image generation models and large language models (LLMs), greatly lowering the technical barrier.
Elastic Scaling: The platform dynamically adjusts computing resources based on user demand, ensuring stable service even during peak times.
Permissionless Mining: GPU owners can join or exit the mining activities at any time, and this flexibility attracts a large number of high-performance GPU users to participate.
Free AI Applications: Heurist offers a variety of free applications, including image generation, chat assistants, and search engines, making it easy for ordinary users to experience AI technology directly.
06 Heurist's Free AI Applications
The Heurist team has released several free AI applications suitable for everyday use by ordinary users. Here are some specific applications:
Heurist Imagine: A powerful AI image generator that allows users to easily create artworks without any design background. 🔗https://imagine.heurist.ai/
Pondera: An intelligent chat assistant that provides a natural and smooth conversational experience, enabling users to easily obtain information or solve problems. 🔗 https://pondera.heurist.ai/
Heurist Search: An efficient AI search engine that helps users quickly find the information they need and enhances work efficiency. 🔗 https://search.heurist.ai/
07 Heurist's Latest Developments
Heurist recently completed a $2 million financing round, with investors including well-known institutions like Amber Group, which provides a solid foundation for its future development.
In addition, Heurist is about to conduct a Token Generation Event (TGE) and plans to collaborate with OKX Wallet to launch an event for minting AIGC NFTs. This event will provide 100,000 ZK token rewards to a thousand participants, bringing more opportunities for community involvement.
Activity Link: https://app.galxe.com/quest/OKXWEB3/GC1JjtVfaM
Computing power is the core driving force behind AI development. Any decentralized computing project that relies on computing power stands at the high point of the industry. It not only meets the growing demand for AI computing power but also, due to the stability of its infrastructure and market potential, becomes a coveted target for capital.
As Heurist continues to expand its ecosystem and launch new features, we have reason to believe that decentralized AI computing platforms will play a crucial role in the global AI industry.
