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Scaling with AIS nodes may not be easy according to the demand and availability of the resources, as it depends on the number and capacity of the edge devices.
AIS node is a program that distributes the AI training process across multiple devices. However, due to the technical difficulties of implementing everything perfectly at the moment, technologies will be implemented gradually and sequentially.
The AIS node is still under development and may not have all the features and functionalities that are expected or desired. We are working hard to improve the AIS node and make it more robust and efficient.
Some technologies involved are complex and challenging and may require more time and resources to implement. Therefore, AIS nodes will be released in several stages of development, starting with the most basic and essential features, and then adding more advanced and optional features later.
There may be some limitations in implementing and operating AIS nodes due to the following reasons:
Network bandwidth: AIS nodes require high network bandwidth to communicate with the main server and other nodes, which may not be available or reliable in some edge locations.
Distributed computing: AIS node involves distributed computing across multiple devices, which may introduce complexity and inconsistency in data processing and synchronization.
Latency: AIS nodes may still experience latency issues due to network congestion, device mobility, or server overload, which may affect the performance and accuracy of the LLMs.
Security and accessibility: AIS nodes may pose security and privacy risks for the users’ data and devices, as they may be exposed to malicious attacks or unauthorized access from the network or the physical environment.
Backup: AIS nodes may not have a reliable backup mechanism for the data and models stored on the edge devices, which may result in data loss or corruption in case of device failure or damage.
Data accumulation: AIS nodes may generate a large amount of data on edge devices, which may exceed their storage capacity and processing power over time.
Control and management: AIS nodes may require more control and management from the users or administrators, as they need to monitor and update the devices, models, and parameters regularly.