AI and Future Technologies Overview

Aethir's core technology that allows it to adjust its size and capacity to meet the demands of rapid AI and cloud gaming growth.

Aethir's network model where data centers are spread out, providing faster response times and better performance compared to centralized models.

The ability of Aethir to quickly deliver the most optimal and affordable computing resources wherever they are needed.

A measure of how quickly Aethir's network can process information, ensuring smooth experiences for real-time applications like gaming and AI.

Aethir uses blockchain technology to reward resource owners for contributing their computers to the network, using its native cryptocurrency, $ATH.

The combination of real-time rendering and AI inferencing that Aethir offers for creating immersive worlds in gaming and AI applications.

Aethir's core components: "Containers" are where the actual work happens, "Checkers" ensure quality and performance, and "Indexers" connect users to the right resources.

Applications like AI model training, AI inferencing, cloud gaming, cloud phone, and AI productization that Aethir supports.

The process of making AI models accessible and usable for a wide audience, similar to how smartphones became widespread.

AI agents that appear as realistic 3D characters, allowing for more natural and engaging interactions.

A decentralized network of computers that can be accessed and used by anyone, enabling efficient and affordable access to computing power.

A set of technologies that enable decentralized applications and services, including blockchain, smart contracts, and cryptocurrency.

A system that uses blockchain technology to track and manage resource consumption, ensuring transparency and fairness.

Automated agreements that run on blockchain, automating and simplifying resource allocation and payment processes.

Digital currencies used in Web3 systems, streamlining value transfer and making it easier to pay for computing resources.

The phenomenon of increasing demand for GPUs, exceeding the rate of technological advancements in hardware efficiency, as driven by the intensified race towards Artificial General Intelligence (AGI).

A measure of how quickly the capabilities of computer hardware increase. Typically doubling every 18 months, it describes the speed at which we can process information.

A benchmark for the powerful GPUs desired by AI and gaming industries. NVIDIA holds a dominant market share with its ability to deliver these high-performance chips.

The financial investment made by companies in AI development. It's a major driver of technological advancement, with significant sums spent on computing resources, hardware, energy, and personnel.

The goal of creating artificial intelligence with human-level general intelligence, capable of performing a wide range of cognitive tasks.

The significant investment required to train advanced AI models, exemplified by the drastically increased compute resources needed to develop GPT-4 compared to its predecessor, GPT-2.

The idea that we are on the verge of a significant change in the nature of work, potentially making many current occupations obsolete due to advancements in AI.

DePINs rely on rewards to attract and retain resource providers. Web3 allows for efficient and cost-effective incentive systems using native tokens.

The Proof of Capacity reward encourages resource owners to participate early and keep their resources online even when there is no immediate demand.

This reward is paid by the Aethir network to resource owners based on the quality of their resources. Higher quality resources receive higher rewards.

This cost is paid by the resource consumer and is determined by the Aethir network and/or the resource owner.

This mechanism prevents malicious actors from harming the network by requiring them to stake their native tokens. If they act negatively, they lose their stake.

Blockchain technology is used to track all activities, transactions, and resource usage within the Aethir network.

Aethir leverages blockchain and crypto to make real-time payments to resource owners for their contributions.

A method of training AI models at a massive scale, which is crucial for achieving Artificial General Intelligence (AGI) and ensuring a fair distribution of AI benefits.

The process where a trained AI model analyzes new data and draws conclusions, enabling applications like ChatGPT to answer questions.

The use of distributed cloud computing to provide low-latency compute power for AI inferencing, enabling faster responses and supporting demanding applications.

The ability to access high-quality gaming experiences through cloud computing, eliminating the need for expensive hardware.

A distributed computing network that leverages blockchain technology for secure and instant payments, enabling efficient and transparent transactions.

Aethir's approach to building trust with resource owners by using DePINs to streamline payments in near real time.

The potential for innovation created by accessible, on-demand compute resources.

The need for significant compute power to process real-time data for mission-critical applications like self-driving cars and traffic management.

A device that acts as a standardized container node, enabling its owner to contribute their consumer-grade compute resources to the Aethir network in exchange for rewards.

A component of the Aethir network responsible for ensuring the integrity and performance of containers by running tests at various stages of their life cycle.

The Checker performs tests on containers at three specific phases: registration, during standby, and during delivery.

The Checker uses two methods to test containers: performance parameters and simulation testing.

It's a mechanism that rewards node operators for their availability, even when their resources are not being actively utilized.

This concept ensures a consistent baseline level of compute resources available for users, even during periods of high demand.

Performance parameters involve directly reading a container's performance data to assess its quality.

Simulation testing involves the Checker acting as a compute buyer to assess resource consumption and ensure compliance with claimed specifications.