Pattern-enabled aluminum nitride thermal test vehicle for datacenter cooling systems

1. A datacenter cooling system, comprising:

an aluminum nitride (Al—N) heat spreader comprising a patterned heat trace on one side, the patterned heat trace comprising a first concentration pattern that is dense relative to a second concentration pattern of the patterned heat trace, the Al—N heat spreader forming a part of a thermal test vehicle (TTV) to replicate heat generation by a computing device in a test of the datacenter cooling system.

2. The datacenter cooling system of claim 1 , further comprising:

an insulation layer under the Al—N heat spreader, the insulation layer supported by a base layer and a bracket to associate the TTV to a test server tray or box of a test rack.

3. The datacenter cooling system of claim 1 , wherein

the patterned heat trace is printed, grown, or laid on the one side of the Al—N heat spreader based at least in part on a predetermined pattern associated with different heat generation areas of the computing device.

4. The datacenter cooling system of claim 1 , further comprising:

at least one processor associated with a flow controller and a cold plate to enable the datacenter cooling system to respond to the test of the datacenter cooling system by controlling a flow of a fluid to the cold plate, the cold plate being associated with the Al—N heat spreader to cool the TTV.

5. The datacenter cooling system of claim 1 , further comprising:

at least one processor to determine a workload for the computing device and to enable one or more heating schemes for the TTV to cause heat generation areas in the patterned heat trace to replicate the heat generation by the computing device for the workload.

6. The datacenter cooling system of claim 1 , further comprising:

a nickel-copper alloy that forms the patterned heat trace by printing, growing, or laying a predetermined pattern comprising the first concentration pattern and the second concentration pattern on the one side of the Al—N heat spreader.

7. The datacenter cooling system of claim 6 , further comprising:

the patterned heat trace comprising the predetermined pattern determined based in part on the computing device, the predetermined pattern comprising the first concentration pattern in a first location of the TTV that is associated with a first heat generation area of the computing device and comprising the second concentration pattern in a second location associated with a second heat generation area of the computing device, wherein the first location generates more heat than the second location.

8. The datacenter cooling system of claim 1 , further comprising:

at least one processor to receive input from one or more sensors associated with the TTV and to enable the TTV to replicate the heat generation by one or more heating schemes determined based in part on the input from the one or more sensors.

9. The datacenter cooling system of claim 8 , further comprising:

one or more neural networks to receive the input and to infer the one or more heating schemes for the TTV based in part on the one or more neural networks having been trained using prior heat generation information and one or more parameters associated with computing devices.

10. A processor comprising one or more circuits, the one or more circuits configured to determine heat to be generated by an aluminum nitride (Al—N) heat spreader in a thermal test vehicle (TTV) to replicate heat generation by a computing device in a test of a datacenter cooling system, the Al—N heat spreader comprising on one side a patterned heat trace with a first concentration pattern that is dense relative to a second concentration pattern of the patterned heat trace, the processor configured to cause the TTV to generate the heat for the test of the datacenter cooling system.

11. The processor of claim 10 , wherein

the one or more circuits are configured to provide signals to enable the TTV to generate the heat for the test of the datacenter cooling system, wherein the signals enable a first part of the heat in the first concentration pattern of a first location of the TTV and enable a second part of the heat in the second concentration pattern of a second location of the TTV, the first location of the TTV being associated with a first heat generation area of the computing device that generates more heat than a second heat generation area of the computing device associated with the second location of the TTV.

12. The processor of claim 10 , further comprising:

an input adapted to receive input from one or more sensors associated with the TTV and to enable the TTV to replicate the heat generation by one or more heating schemes determined based in part on the received input from the one or more sensors.

13. The processor of claim 10 , further comprising:

one or more neural networks to receive an input and to infer one or more heating schemes for the TTV based in part on the one or more neural networks having been trained using prior heat generation information and one or more parameters associated with computing devices.

14. The processor of claim 10 , wherein at least one of the one or more circuits comprises:

at least one logic unit to determine the heat to be generated by the Al—N heat spreader in the TTV based in part on one or more parameters determined for the computing device in the test of the datacenter cooling system.

15. A method for datacenter cooling, comprising:

providing an aluminum nitride (Al—N) heat spreader as part of a thermal test vehicle (TTV), the Al—N heat spreader comprising a patterned heat trace on one side of the Al—N heat spreader, the patterned heat trace comprising a first concentration pattern that is dense relative to a second concentration pattern of the patterned heat trace;

determining a test for a datacenter cooling system; and

replicating, using the TTV, heat generation of a computing device for the test of the datacenter cooling system.

16. The method of claim 15 , further comprising:

enabling, using at least one processor associated with a flow controller and a cold plate, the datacenter cooling system to respond to the test of the datacenter cooling system by controlling a flow of a fluid to the cold plate, the cold plate being associated with the Al—N heat spreader to cool the TTV.

17. The method of claim 15 , further comprising:

determining, using at least one processor, a workload for the computing device; and

enabling one or more heating schemes for the TTV to cause different heat generation areas in the patterned heat trace to replicate the heat generation by the computing device for the workload, the first concentration pattern being a higher heat generation area relative to the second concentration pattern.

18. The method of claim 15 , further comprising:

determining, using at least one processor, a workload for the computing device; and

enabling one or more heating schemes for the TTV to cause different heat generation areas in the patterned heat trace to replicate the heat generation by the computing device for the workload.

19. A method for preparing a thermal test vehicle (TTV), comprising:

machining an aluminum nitride (Al—N) heat spreader to comprise a patterned heat trace on one side; and

forming the patterned heat trace from a metal alloy in accordance with a predetermined pattern associated with a computing device and comprising a first concentration pattern that is dense relative to a second concentration pattern, wherein the patterned heat trace replicates heat generation of the computing device in a test of a datacenter cooling system.

20. The method of claim 19 , further comprising:

providing an insulation layer under the Al—N heat spreader, the insulation layer being supported by a base layer and a bracket to associate the TTV to a test server tray or box for the test in the datacenter cooling system.