Rack Power Throttling with Datacenter Power Capping
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Solution Overview
Problem
Datacenters face issues with server overload and potential damage due to inconsistent power demands, leading to overloaded components, short-circuiting, and increased infrastructure costs from maximizing power capacity.
Innovation Solution
Implementing a power throttling mechanism that adjusts voltage references based on throttling offsets, using hardware components within the payload to create a fast control loop for power management, allowing for power consumption to be sustained for a predetermined period, enabling data backup before shutdown.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If power capacity is maximized to each server, then power output is improved, but servers may cross power limits causing overload or short-circuiting
Solution Approach 1:
The patent implements dynamic power throttling that adjusts power delivery in real-time based on actual payload consumption. The system monitors power usage and dynamically modifies power output to prevent exceeding capacity limits, transitioning from static maximum power delivery to adaptive power management that maintains reliability while optimizing power utilization.
Solution Approach 2:
The system incorporates feedback mechanisms where payloads report their actual power consumption to the rack controller. This feedback loop enables the controller to adjust power delivery dynamically, ensuring that power capacity is optimized based on real-time conditions rather than fixed maximums, thereby preventing overload while maximizing available power.
2Power
If power capacity is maximized to every server, then power output is improved, but infrastructure costs increase
Solution Approach 1:
The patent enables partial power delivery rather than full maximum power to all servers simultaneously. By allowing the rack to deliver power only when and where needed based on actual consumption patterns, the system avoids the excessive infrastructure investment required for maximum capacity everywhere, optimizing the balance between power availability and infrastructure cost.
Solution Approach 2:
The system changes the power delivery parameter from fixed maximum capacity to variable throttled output. By dynamically adjusting power parameters based on payload needs and rack capacity, the infrastructure can be sized for moderate capacity with intelligent control rather than oversized for peak demands, reducing overall infrastructure costs while maintaining adequate power output.
3Duration of action of moving object
If power throttling is applied to extend operational time, then data backup time is improved, but power consumption is reduced
Solution Approach 1:
The system performs preliminary actions by throttling power consumption before complete power exhaustion occurs. By proactively reducing power usage in anticipation of capacity limits or power events, the system extends operational time and creates buffer periods for data backup activities, rather than waiting for critical power situations to arise.
Data Source
AI summary
The technology is generally directed to a power throttling mechanism controlled by a payload receiving power provided by a rack, or other such power source. The power level provided by the rack may be maintained for a predetermined period of time. The power throttling mechanism may include the payload determining the predetermined period of time and a throttling offset. The payload may execute the power throttling by adjusting a voltage reference based on the throttling offset, after which the payload may maintain power usage for at least the predetermined period of time. According to some examples, in addition to throttling power for a payload, power capping may occur at substantially the same time. A power capping mechanism may transmit a notification to a controller, such as a baseboard management controller, to cap the power consumption of the datacenter.