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Grafik Live Harga Raven Protocol(RAVEN)
Harga Raven Protocol(RAVEN) Hari Ini
Harga Raven Protocol(RAVEN) hari ini adalah Rp2.6, dengan volume perdagangan 24 jam sebesar Rp3.38M dan dengan begitu Raven Protocol(RAVEN) memiliki kapitalisasi pasar sebesar Rp11.55B, yang memberinya dominasi pasar sebesar +0%. Harga Raven Protocol(RAVEN) bergerak -0.01% dalam 24 jam terakhir.
Data Harga RAVEN
- Volume 24JRp3.38M
- All-Time High(ATH)Rp74.83
- Tinggi 24JRp2.67
- All-Time Low(ATL)Rp1.02
- Rendah 24JRp2.52
Info Kap Pasar RAVEN
- Kap PasarRp11.55B
- Fully Diluted ValuationRp26.03B
- Kap Pasar/FDV44.37%
- Sentimen PasarNetral
Pasokan RAVEN
- Pasokan Beredar4.43B RAVEN
- Total Pasokan10B RAVEN
- Pasokan Maks∞
Indikator Kredibilitas Raven Protocol(RAVEN)
59.62
Skor Realibilitas
PersentilTOP 30%
Tentang Raven Protocol(RAVEN)
Kontrak

RAVEN-F66
Explorer
explorer.binance.org
Situs web
ravenprotocol.com
Komunitas
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.
Raven Protocol(RAVEN) Investor






