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Have questions or need help? We’re here for you
FAQ'S
Frequently Asked Questions
Find quick answers to the most common support questions
Still Have Questions?
Still have questions? Feel free to get in touch with us today!
Why combine centralized task design with decentralized execution?
This hybrid model ensures tasks are well-structured and high quality (avoiding chaos from full decentralization) while still benefiting from the scale, cost savings, and fairness of a decentralized network.
How does DeTrainAI prevent bad actors from gaming the system?
Nodes must stake $DTRN tokens to participate. If they submit poor or malicious work, their stake is slashed, aligning incentives toward honest contributions.
What makes DeTrainAI more cost-efficient than cloud-based AI training?
Instead of renting expensive centralized compute from a single provider, DeTrainAI distributes workloads across global nodes, cutting costs while improving redundancy and scalability.
Can enterprises keep their proprietary data secure during training?
Yes — training tasks are split and distributed in a way that ensures data privacy. Enterprises can choose to run sensitive portions on their own secure nodes if required.
How is validator reputation tracked?
Validators earn credibility through accurate performance over time. A scoring system ranks validators, giving enterprises confidence that only the most reliable nodes validate their outputs.
What happens if demand for training spikes?
The task board automatically scales by assigning jobs to available trainer nodes worldwide, ensuring workloads are distributed efficiently without bottlenecks.
FAQ'S
Frequently Asked Questions
Find quick answers to the most common support questions
Still Have Questions?
Still have questions? Feel free to get in touch with us today!
Why combine centralized task design with decentralized execution?
How does DeTrainAI prevent bad actors from gaming the system?
What makes DeTrainAI more cost-efficient than cloud-based AI training?
Can enterprises keep their proprietary data secure during training?
What industries benefit the most?
How is validator reputation tracked?
Validators earn credibility through accurate performance over time. A scoring system ranks validators, giving enterprises confidence that only the most reliable nodes validate their outputs.
What happens if demand for training spikes?
The task board automatically scales by assigning jobs to available trainer nodes worldwide, ensuring workloads are distributed efficiently without bottlenecks.
FAQ'S
Frequently Asked Questions
Find quick answers to the most common support questions
Still Have Questions?
Still have questions? Feel free to get in touch with us today!
Why combine centralized task design with decentralized execution?
This hybrid model ensures tasks are well-structured and high quality (avoiding chaos from full decentralization) while still benefiting from the scale, cost savings, and fairness of a decentralized network.
How does DeTrainAI prevent bad actors from gaming the system?
Nodes must stake $DTRN tokens to participate. If they submit poor or malicious work, their stake is slashed, aligning incentives toward honest contributions.
What makes DeTrainAI more cost-efficient than cloud-based AI training?
Instead of renting expensive centralized compute from a single provider, DeTrainAI distributes workloads across global nodes, cutting costs while improving redundancy and scalability.
Can enterprises keep their proprietary data secure during training?
Yes — training tasks are split and distributed in a way that ensures data privacy. Enterprises can choose to run sensitive portions on their own secure nodes if required.
How is validator reputation tracked?
Validators earn credibility through accurate performance over time. A scoring system ranks validators, giving enterprises confidence that only the most reliable nodes validate their outputs.
What happens if demand for training spikes?
The task board automatically scales by assigning jobs to available trainer nodes worldwide, ensuring workloads are distributed efficiently without bottlenecks.