Distributed computing network comprised of autonomous vehicles carrying liquid immersion cooling platforms
An interconnected network including a plurality of autonomous vehicles is described. Each autonomous vehicle can include an immersion cooling system. The network can include a central server for determining whether there has been any network disruption. In the event of the network disruption (or when a network disruption is predicted), the central server can deploy at least one vehicle to the area to maintain the network connectivity. Upon receiving the instructions, the vehicle can drive to the area. The central server can use an artificial intelligence algorithm to make the prediction.
1. A system comprising:
an autonomous vehicle comprising:
a vessel configured to hold thermally conductive, condensable dielectric fluid;
a computer component configured to be at least partially submerged within the dielectric fluid;
a fluid circulation system configured to draw the dielectric fluid from a sump area of the vessel, pass the dielectric fluid through a filter and deliver the dielectric fluid to a bath area of the vessel; and
a heat exchanger configured to maintain a temperature of the fluid;
wherein the autonomous vehicle is configured to self-drive to a location upon receiving an instruction including coordinates for the location, and
wherein the autonomous vehicle further comprises a control unit configured to
detect a network disruption,
delineate an area affected by the network disruption, and
drive to a location within the area.
2. The system of claim 1 , wherein the autonomous vehicle comprises a generator for providing power to the vessel.
3. The system of claim 1 , wherein the autonomous vehicle comprises a transceiver for transmitting and receiving signals generated by the vessel.
4. The system of claim 1 , wherein the autonomous vehicle comprises a transceiver for connecting the vessel to a network.
5. The system of claim 1 , wherein the control unit is further configured to transmit a signal to a central server indicating the location.
6. The system of claim 5 , wherein the control unit is further configured to receive another signal from the central server indicating that the autonomous vehicle is or is not authorized to drive to the location.
7. The system of claim 6 , wherein when the another signal indicates that the autonomous vehicle is not authorized to drive to the location, the control unit is configured to determine another location within the area.
8. The system of claim 1 , wherein the control unit determines the location based on a machine learning algorithm.
9. The system of claim 8 , wherein the machine learning algorithm is trained using data from past locations determined by the autonomous vehicle and other vehicles.