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Rank #1736
Raven Protocol Price (RAVEN)
Raven Protocol (RAVEN)
$0.000338611175 ?
Last Updated: 2022-09-12 03:01:49 UTC (23 days ago)
On 2,108 watchlists
24H Range
Market Cap $1,502,298
24 Hour Trading Vol ?
Circulating Supply 4,436,646,536
Total Supply 10,000,000,000
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Raven Protocol Price Chart (RAVEN/USD)

Last updated 03:01AM UTC. Currency in USD.
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Convert RAVEN to USD


1 RAVEN = $0.000338611175

RAVEN Price Statistics

Raven Protocol Price Today
Raven Protocol Price $0.000338611175
24h Low / 24h High ? / ?
7d Low / 7d High ? / ?
Trading Volume ?
Market Cap Rank #1736
Market Cap $1,502,298
Market Cap Dominance 0%
Volume / Market Cap ?
All-Time High $0.004547774121 ?
Jul 12, 2019 (about 3 years)
All-Time Low $0.000062465854 ?
Mar 16, 2020 (over 2 years)

RAVEN Price Today

Raven Protocol price today is $0.000338611175 with a 24-hour trading volume of ?. It has a circulating supply of 4.4 Billion RAVEN coins and a total supply of 10 Billion.

What was the highest price for Raven Protocol?

Raven Protocol hit an all time high of $0.004547774121 on Jul 12, 2019 (about 3 years).

What was the lowest price for Raven Protocol?

Raven Protocol had an all time low of $0.000062465854 on Mar 16, 2020 (over 2 years).

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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