Fetch.ai released their mainnet yesterday, December 19th 2019, with around 10% of their master nodes up and running already. Fetch.ai will add more live nodes to the network over the coming weeks, with the aim to have all 200 master nodes running in the first few months of 2020.
Ankr will provide a node hosting application where users can easily run their Fetch.ai master node in just a couple of easy steps in our App Store. We will soon publish our guide and tutorial on how to achieve this.
Users will also be able to operate relay nodes. These nodes do not take part in consensus, but are full nodes that assist with validation and can act as end-points and servers for connecting autonomous economic agents.
Chandler Song, CEO and Co-founder of Ankr said: “Fetch.ai are a unique proposition, aiming to address real-world problems that the real-world struggles to solve. This is what blockchain needs to accomplish eventual acceptance and adoption. Ankr are proud to be part of their journey and look forward to working alongside their team to support both their infrastructure and platform.”
“It’s a great pleasure to be working with Ankr and their team of experts to support the growth of our network,’’ commented Toby Simpson, co-founder of Fetch.ai. “This is a reliable, flexible and cost-effective way of operating Fetch.ai nodes and their focus on a great user experience ensures that it’s an entirely stress free process.”:
Fetch.ai is a decentralized connectivity platform that enables devices to connect directly with digital agents delivering autonomous solutions to complex tasks.
Fetch.ai are accelerating research and deployment of emerging technologies, including blockchain and artificial intelligence. This enables us to build real world applications to provide solutions to everyday problems.
Fetch.ai is working to create ecostructures — ecosystem infrastructures — in which billions of devices can communicate seamlessly, autonomously and securely.
The platform simplifies the deployment of algorithms, IoT and complex systems. By using a collective learning AI/ML architecture, Fetch.ai enables devices and software agents to find each other, learn from each other and exchange value with each other, enhancing and optimizing solutions to problems through intelligent connectivity, machine learning and AI.
Fetch.ai master nodes (or Validator nodes) are computers that run copies of the ledger. The operators of the master nodes lock their FET tokens as a stake to gain entry to the Proof-of-Stake (PoS) consensus. This requires them to be online and submit valid blocks during the staking period and gives them the right to earn rewards if they conform to the protocol.
We will provide all essential details, requirements, pricing and a step-by-step tutorial in the coming weeks, so that you can be among the first users to run the Fetch.ai master nodes once they are live.
The Ankr platform is connected to top-end specification servers, hosted globally from data centers owned by some of the largest companies on the planet, to provide the highest quality service to the Ankr platform.
These data centers guarantee a tremendous global scope to our platform. While services such as Amazon’s AWS or Microsoft Azure offer only 20 global locations, Ankr can offer many times more, by virtue of each data center provider being a location in their own right, each with different global configurations. This results in the latency of your Ankr-hosted blockchain being minimized and the compute power maximized, meaning transactions will be smooth, efficient and lightning-fast.
Moreover, Ankr are significantly cheaper as public cloud providers, and our approach to cloud computing is notably eco-friendly since we use idle resources that would otherwise still be consuming power. By optimizing the use of existing hardware rather than adding to the global footprint, we present the most ecologically sound solution possible to the Cloud Computing market.
Ankr and Fetch.ai partner to host Fetch.ai mainnet nodes was originally published in Ankr on Medium, where people are continuing the conversation by highlighting and responding to this story.
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