CONTAINERIZED DATA CENTER APPARATUS FOR RESILIENT AND SELF-CONTAINED HIGH-PERFORMANCE COMPUTING AT THE EDGE
A process can include receiving, by an edge compute unit, a pre-trained machine learning model from a cloud management platform, wherein the edge compute unit is deployed to an edge location and configured to obtain one or more sensor data streams at the edge location. The edge compute unit can transmit one or more batch uploads of information associated with inference performed by the edge compute unit using the pre-trained machine learning model and the one or more sensor data streams. The edge compute unit can receive one or more updated machine learning models generated by the cloud management platform responsive to the one or more batch uploads of information, wherein the one or more updated machine learning models are based on retraining or finetuning of the pre-trained machine learning model with the one or more batch uploads of information.
1 . A containerized edge data center unit deployed to an edge location and configured to obtain one or more sensor data streams at the edge location, the unit comprising:
one or more cooling components;
one or more power distribution components; and
one or more compute components, wherein the one or more compute components are configured to:
transmit a request corresponding to a pre-trained machine learning model;
receive the pre-trained machine learning model;
transmit information associated with inference using the pre-trained machine learning model and the one or more sensor data streams;
receive an updated machine learning model responsive to the information, wherein the updated machine learning model is based on retraining or finetuning of the pre-trained machine learning model with the information; and
perform localized instruction tuning of the updated machine learning model to a task of the inference.
2 . The containerized edge data center unit of claim 1 , wherein the containerized edge data center unit is transported assembled to the edge location.
3 . The containerized edge data center unit of claim 1 , wherein the containerized edge data center unit is approximately 10 feet in length.
4 . The containerized edge data center unit of claim 1 , wherein the containerized edge data center unit is approximately 20 feet in length.
5 . The containerized edge data center unit of claim 1 , wherein the containerized edge data center unit is approximately 40 feet in length.
6 . The containerized edge data center unit of claim 1 , wherein the containerized edge data center unit includes one or more sensors for environmental monitoring.
7 . The containerized edge data center unit of claim 1 , further comprising:
one or more networked communications modules to provide backhaul connectivity.
8 . The containerized edge data center unit of claim 7 , wherein the one or more networked communications modules are satellite transceivers.
9 . The containerized edge data center unit of claim 1 , further comprising:
one or more local network connectivity modules configured to provide one or more communication links between the containerized edge data center unit and respective ones of a plurality of edge assets.
10 . The containerized edge data center unit of claim 9 , wherein the one or more communication links include one or more of an LTE, 4G, 5G or other private cellular network.
11 . The containerized edge data center unit of claim 9 , wherein the plurality of edge assets include sensors, autonomous robots, drones, cameras, other containerized edge data center units.
12 . The containerized edge data center unit of claim 1 , wherein the one or more cooling components include forced airflow with direct expansion (DX) mechanical cooling.
13 . The containerized edge data center unit of claim 1 , wherein the one or more cooling components include liquid plate or immersion cooling.
14 . The containerized edge data center unit of claim 1 , further comprising:
a housing, wherein the housing is a rugged, outdoor-rated finish to prevent oxidation, sun bleaching, salt spray, and various other environmental degradation conditions of the edge location.
15 . A method comprising:
transmitting, by a containerized edge data center unit, a request corresponding to a pre-trained machine learning model, wherein the containerized edge data center unit is deployed to an edge location and configured to obtain one or more sensor data streams at the edge location;
receiving, by the containerized edge data center unit, the pre-trained machine learning model;
transmitting, by the containerized edge data center unit, information associated with inference using the pre-trained machine learning model and the one or more sensor data streams;
receiving, by the containerized edge data center unit, an updated machine learning model responsive to the information, wherein the updated machine learning model is based on retraining or finetuning of the pre-trained machine learning model with the information; and
performing, by the containerized edge data center unit, localized instruction tuning of the updated machine learning model to a task of the inference,
wherein the containerized edge data center unit comprising:
one or more cooling components;
one or more power distribution components; and
one or more compute components.
16 . The method of claim 15 , wherein the containerized edge data center unit is transported assembled to the edge location.
17 . The method of claim 15 , wherein the containerized edge data center unit is approximately 10 feet in length.
18 . The method of claim 15 , wherein the containerized edge data center unit is approximately 20 feet in length.
19 . The method of claim 15 , wherein the containerized edge data center unit is approximately 40 feet in length.
20 . The method of claim 15 , wherein the containerized edge data center unit includes one or more sensors for environmental monitoring.