How W3AI will Spearhead Decentralized AI Inference
As more AI developers and businesses seek to start monetizing AI models, most of the investment and focus directed at the AI industry is gradually shifting from AI model training to AI inference.
In this article, we explore how AI inference works, analyze the shortcomings of centralized AI inference providers, and explain how decentralized AI inference - spearheaded by AIOZ W3AI - will address these shortcomings.
Let's dive in:
AI Inference is the process of running brand new data through trained AI models to make a prediction or solve a task in the real world.
AI models achieve this by recognizing patterns in the new data that are similar to patterns in the datasets they were trained with.
Inference can be viewed as an AI model's "moment of truth" - a test of how well it can apply information learned during the training stage.
A good example of AI inference in practice is a self-driving car capable of recognizing a zebra crossing on a road it has never driven on before. This process of identifying the zebra crossing in a new context is inference.
AI models spend over 90% of their lifecycle in the inference stage, consuming most of the computing resources dedicated to AI development - due to the multiplicative factor of using these resources continuously.
The heavy computational requirements of AI inference have led many AI developers and businesses to outsource their AI inference needs to centralized Cloud Service Providers (CSPs) who can handle their demands more effectively.
However, CSPs typically operate out of large data centers, whose underlying design makes it difficult for CSPs to scale and meet the growing AI inference demands of users without increasing their electricity usage and carbon footprint exponentially.
The inability of CSPs to scale on demand coupled with their centralized nature has led to a wide range of issues surrounding steep pricing, service downtime, and censorship risks.
These drawbacks make CSPs less adequate for handling AI inference on behalf of AI developers and businesses, especially with the recent rise of Generative AI - a branch of AI that utilizes more computing resources compared to Predictive AI.
Let's see how AIOZ W3AI will fix this with decentralized AI inference:
AIOZ Web3 AI (W3AI) is a decentralized AI-as-a-service infrastructure powered by 180,000+ global edge nodes in the AIOZ DePIN and a Web3-incentivized collaborative AI marketplace.
AIOZ DePIN nodes are owned and controlled by independent individuals who are rewarded with $AIOZ tokens whenever the computing resources on their nodes are utilized for computation on the AIOZ Network.
The release of AIOZ Node V3 enabled the execution of AI tasks directly on these DePIN nodes, transforming the concept of decentralized AI inference into a reality that would soon disrupt the AI industry.
Decentralized AI inference will provide multiple benefits to AI developers and businesses who utilize AIOZ W3AI for AI inference tasks.
These benefits include:
1.) Enhanced Performance: Executing AI inference locally on AIOZ DePIN nodes reduces the need for constant data transmission and enhances real-time decision-making by AI models.
2.) Cost-Effectiveness: The ability of the AIOZ DePIN to scale on-demand limits competition for computing resources on the network, helping to keep its pricing stable and affordable in the long term.
3.) Permanent Service Uptime: The decentralized nature of the AIOZ DePIN makes it impossible for the network to experience downtimes due to the outage of a few nodes, as computational service can simply be re-routed to other active nodes on the network.
4.) Zero Censorship Risks: Since no single entity has complete control over the AIOZ DePIN, it's impossible for an AI developer or business to be restricted from using its resources for AI inference tasks.
These benefits will help to establish AIOZ W3AI as the leading service solution - across Web2 and Web3 - for AI inference tasks that can help AI developers and businesses develop tomorrow's AI innovations without any drawbacks!
If you would like to learn more about AIOZ W3AI ahead of its imminent release, you can download its vision paper in the link below:
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AIOZ empowers a fast, secure, and decentralized future.
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