Case Study

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Mystery of Data Center Hot Spots
Data centers are perhaps the most important cyber-physical system in this digital era. Hot spots (localized high temperature zones/equipment) pose
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Air Temp. Sensor Network-based Cooling Controls is NOT Enough for Modern Data Centers
First of all, why should we care about data center cooling controls? We should because: Data centers are responsible for
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IPMI Security
Intelligent Platform Management Interface (IPMI) is a set of low-level interface specifications for an autonomous computing system. It is an
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A Chronicle of AI Frontiers Conference at Santa Clara, Nov 4-5 2017
Last weekend, I attended AI Frontiers Conference at Santa Clara. It was a great learning experience to listen to top
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In the absence of an appropriate pattern recognition algorithm, granular and real-time data is just computing burden. To fully utilize it, it is important to be supported by an efficient pattern-recognition algorithm.
Enterprise-grade servers supporting AI workloads are at least few orders of magnitude more expensive than the traditional volume servers. The equipment failure cost is too high to be ignored.
Typical lifetime of an IT equipment is 6-18 months, while that for a facilities equipment such as a Liebert cooling systems 15-20 years. The deployment times are also very different. Furthermore, the typical time-scale for data center facilities operations is in order of few minutes, while that for IT systems is few minutes. Therefore, matching data center facilities to its IT demand is very difficult.
Following Moore law’s, the number of transistors in electronic circuit is rapidly increasing at 1.3x annual rate. Moreover, virtualization of computing resources made data center workload rapidly non-uniform. This two factors lead to a complex data center operation.
Data centers are increasingly supporting application ecosystem such as video streaming, high-frequency merchandise, and real-time image recognition. This new generation applications require fast and high-throughput computation.
A typical data center hosts a multitude of IT, power, and cooling systems with varied response characteristics. This makes data center thermal profile non-uniform and complex. In addition to that, turbulent air cooling adds to the data center thermal profile to an extent that it become non-linear. Therefore, it is literally impossible to build a traditional formula-based mathematical modeling for data center thermal evolution. It necessitates a data-driven real-time framework for data center thermal modeling and prediction.
As much as 50% of data center downtimes happen due to thermal issues. AdeptDC’s data-informed predictive maintenance and automated cooling optimization reduces the risks of these downtimes.
Most of the hardware failures occur due to temperature, voltage, power, or humidity related issues. AdetpDC’s solution reduces the hardware mortality rates with its granular and real-time monitoring and end-to-end feedback control solution.
With data center cooling demand being difficult to predict, data center managers are forced to over-compensate their cooling capacity. AdeptDC’s end-to-end automated cooling optimization removes guessworks from the cooling controls, making it more efficient.
Although most of the data center managers are trained IT professionals, a significant part of their work hours are spent on calibrating cooling system and fixing thermal issues. AdeptDC’s predictive maintenance application intends to save time for IT professionals so that they can focus more on their core jobs.
Data center maintenance could be an intractable problem with unpredictable nature of data center operations and complex thermal response patterns. AdeptDC aims to removes this uncertainty and provides data center managers with much needed peace of mind.
More than half of unplanned downtimes are caused by inappropriate operating points (e.g. high temperatures, circuit voltage) and inadequate mitigation procedures (e.g. poor temperature control, response to voltage surge). AdeptDC’s AI solution can efficiently identify the operational weaknesses such as components with high thermal risks and provide early warnings to the operators. It can go an extra  mile by automatically mitigating those weaknesses and preempt expensive downtimes.
The lifetimes of servers and other IT assets get severely affected if they operate beyond a tight operating band. AdeptDC prevents the assets operations outside the band. I also detects equipment operating beyond that band and mitigates the potential damage by dynamic infrastructure optimization.
Most data centers put atleast three times more power capacity than required to meet SLA to handle possible worst case scenarios. AdeptDC’s dynamic thermal management can efficiently handle this problem.
Do you know at least one out of three serves in data centers are comatose, meaning they are just consuming power without performing any useful work? AdeptDC’s AI software offers an efficient and scalable solution.

Monitoring and managing critical thermal data are important for compliance checkup. AdeptDC’s software supports compliance checkup for data centers.

Most data center operators found themselves engaged in low leverage tasks such as sensor deployments, policy configurations, equipment troubleshooting. AdeptDC’s operational intelligence takes care of most these problems.
A data center is deployed with expensive equipment and high-skilled professionals. Striking the best performance point from this heterogeneous resource poor under a time-varying demand profile needs dynamic and granular operational transparency. AdeptDC brings that transparency to the data center operations.
To avoid expensive data center downtimes, data centers deploy redundant capacity. This often leads to stranded capacity causing needlessly high total cost of ownership. AdeptDC’s software reduces these stranded capacity with its superior demand forecasting and scalable deployment.