Raven Protocol Price (RAVEN)

Price of Raven Protocol (RAVEN) Today

The live price of Raven Protocol (RAVEN) today is 0 USD. It has a current market cap of $ 598.32K USD. RAVEN to USD price is updated in real-time.
Key Raven Protocol Market Performance:
- 24-hour trading volume is -- USD
- Raven Protocol price change within the day is -1.21%
- It has a circulating supply of 4.44B USD

Get real-time price updates of the RAVEN to USD price on MEXC. Stay informed with the latest data and market analysis. It is essential for making smart trading decisions in the fast-paced cryptocurrency market. MEXC is your go-to platform for accurate RAVEN price information.

Raven Protocol (RAVEN) Price Performance in USD

During today, the price change of Raven Protocol to USD was $ 0.
In the past 30 days, the price change of Raven Protocol to USD was $ 0.
In the past 60 days, the price change of Raven Protocol to USD was $ 0.
In the past 90 days, the price change of Raven Protocol to USD was $ 0.

Raven Protocol (RAVEN) Price Analysis

Discover the latest price analysis of Raven Protocol: 24h Low & High, ATH and daily changes:

Raven Protocol (RAVEN) Market Information

Dive into the market statistics: market cap, 24h volume, and supply:

What is Raven Protocol (RAVEN)

Raven Protocol's specific use case is to perform AI training where speed is the key. We're taking a 1M image dataset that takes 2-3 weeks to train on AWS down to 2-3 hours on Raven. AI companies will be able to train models better and faster. Raven Protocol is creating a self-sustaining and dynamic ecosystem for: Customers who want to train their AI engines; and/or Contributors who would like to share their compute resources in the form of Computers, Smartphones, or even a server rack. Raven Tokens (RAVEN) will work as the common ground to facilitate a secure transaction that will take place inside our ecosystem. Enterprise clients who want to rent compute power will do so with RAVEN and contributors of the compute power will be rewarded in RAVEN. Raven is creating a network of compute nodes that utilize idle compute power for the purposes of AI training where speed is the key. A native token is the key to bootstrapping a nascent network. We want to incentivize and reward people all over the world to contribute their compute power to our network. Additionally, we will reward token holders for running masternodes which will be responsible for orchestrating the training of various deep neural networks. Our consensus mechanism is something we call Proof-of-Calculation. Proof-of-Calculation will be the primary guideline for the regulation and distribution of incentives to the compute nodes in the network. Following are the two prime deciders for the incentive distribution: Speed: Depending upon how fast a node can perform gradient calculations (in a neural network) and return it back to the Gradient Collector. Redundancy: The 3 fastest redundant calculation will only qualify for receiving the incentive. This will make sure that the gradients that are getting returned are genuine and of the highest quality.

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