All data and models on the Covalent network are confidential. The military-grade security and privacy provided by Trusted Execution Environment (TEE) are propagated throughout the entire computational network. Furthermore, Covalent’s scheduling system supports both High Throughput Computing (HTC) and Low-Latency Production (LLP). Users can train a Caffe RNN with the Apache Hadoop setup, or they can provide a pickled pre-trained L1 Regression for financial prediction as-a-service.
Verified 0%
Attention. There is a risk that unverified members are not actually members of the team
Verified 0%
Attention. There is a risk that unverified members are not actually members of the team
5 ICO
$26 400 000
This offer is based solely on information provided by the offeror and other publicly available sources.
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