Exchange Raven Protocol

Живые данные о цене raven

Живая цена Raven Protocol сегодня составляет $ 0.00045 usd с 24-часовым объемом торгов $641 usd. Мы обновляем цену RAVEN в usd в режиме реального времени. Raven Protocol - down -3.62% за последние 24 часа. Текущий рейтинг coinmarketcap - #2488, с реальным рыночным капиталом $1 984 795 usd. У нее есть оборотное предложение 4 436 647 208 RAVEN монет и макс. Предложение 10 000 000 000 RAVEN монет.

Что такое Raven Protocol (raven)?

Raven Protocol's particular use case is to perform AI preparing where speed is the key. We're taking a 1M picture dataset that requires 2-3 weeks to prepare on AWS down to 2-3 hours on Raven. Simulated intelligence organizations will actually want to prepare models better and faster.

Raven Protocol is making a self-maintaining and dynamic environment for:

Customers who need to prepare their AI motors; and/or
Contributors who might want to share their process assets as Computers, Smartphones, or even a server rack.
Raven Tokens (RAVEN) will function as the shared view to work with a safe exchange that will occur inside our biological system. Venture clients who need to lease process power will do as such with RAVEN and patrons of the figure power will be compensated in RAVEN.

Raven is making an organization of register hubs that use inactive process power for the reasons for AI preparing where speed is the key. A local token is the way to bootstrapping an incipient network.

We need to boost and reward individuals all around the world to contribute their register capacity to our organization. Also, we will remunerate token holders for running masternodes which will be answerable for organizing the preparation of different profound brain networks.

Our agreement system is something we call Proof-of-Calculation. Verification of-Calculation will be the essential rule for the guideline and dispersion of motivations to the register hubs in the organization. Following are the two prime deciders for the motivator distribution:

Speed: Depending upon how quick a hub can perform angle estimations (in a brain organization) and get it once again to the Gradient Collector.

Redundancy: The 3 quickest excess computation will just fit the bill for getting the impetus. This will ensure that the inclinations that are getting returned are certifiable and of the greatest quality.