Cryptocurrencies Raven Protocol
undefined Logo

Raven Protocol

Price range last 24 hours
Rank #1446
Artificial Intelligence
Market Cap
24 Hour Trading Vol
Circulating Supply
4.436,646,536 / 0
Total / Max Supply
Raven Protocol to USD Price Chart

Raven Protocol Price Today

Price RAVEN to USD now is $0.001. Trading volume by 24-hours $19.109. Raven Protocol, which_ranked #1446 price is down -7.38% in the past 24-hours. Raven Protocol has circulating supply of $0 and have $2.342,945 capitalization. In additional, total supply is $4.436,646,536.

Highest price for Raven Protocol

The all-time high price of RAVEN is $0.005, the record was set on the 0.

Lowest price for Raven Protocol

RAVEN all-time low price is $0, the record was set on 0.

How much has the price of Raven Protocol changed lately?

7 days ago the price was $0 , this changed the RAVEN price by -25.48049%

14 days ago the price was $0 , this changed the RAVEN price by -20.46065%

30 days ago the price was $0 , this changed the RAVEN price by -14.12582%

60 days ago the price was $0 , this changed the RAVEN price by -2.79983%

1 days ago the price was $0 , this changed the RAVEN price by -84.23644%

What is Raven Protocol

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.