You’ve heard of the next coin coming but do you know what it really does?🤫🤫🚀🧨🧨

Before June 2022, io. One of the main investigated area of net was the building of trading models for trading in the U. S. stock and cryptocurrency market. They needed a highly scalable platform architecture to parse the data feed in real-time for over 1000 quotes, 150 virtual currencies and more than 30000 clients.

In the initial stage of the team formation they thought that they must have a pool of skilled professionals in the team. But this can be done by utilizing open source platform referred to as “Ray”. About io, they created the system over a period of thirty nine days only. But it was at a cost of extensive utilization of GPU resources at some point. This was not sustainable as NVIDIA A100 cards which were used for the training cost $80 per day for training more of the model, and running the system was at a cost of whooping $100,000 per month which was more than what a self-funded start up entity could afford.

To solve this, io. net could:

1. Optimize Algorithms: It therefore must be made less computationally intensive if it is to be of any useful .

2. Dynamic Scaling: The fourth advice is to use only those cloud services for which it is possible to gain priority over other consumption and use their resources for their own needs.

3. Cost-Effective Solutions: Instead you should consider cheaper use such as spot instance, hybrid cloud, on-premise hosting, or certain particular niche cloud solutions provider.

You can stake with your $BNB and $FDUSD in the launchpool. Don’t forget to follow and comment….

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