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High performance AI/ML storage through Local SSD support on GKE

February 20, 2023
High performance AI/ML storage through Local SSD support on GKE
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Prospects on Google Kubernetes Engine (GKE) use Native SSD for purposes that must quickly obtain and course of knowledge eg. AI/ML, analytics, batch, in-memory caches. These purposes obtain knowledge to the Native SSD from object storage reminiscent of Google Cloud Storage (GCS) and course of this knowledge in purposes operating as pods on GKE. As knowledge is processed, it strikes between the native storage and RAM making enter/output operations per second (IOPS) efficiency necessary. Beforehand, GKE Native SSD utilization was both on older SCSI-based know-how or utilizing beta (and alpha) APIs. Now you need to use usually obtainable APIs for creating ephemeral or raw-block storage volumes which are all primarily based on NVMe, yielding as much as 1.7x higher efficiency than SCSI. 

Native SSD is a Compute Engine product that enables ephemeral entry to high-performance SSDs straight hooked up to the bodily host. Native SSDs give higher efficiency than PD SSDs and Filestore in trade for much less sturdiness; the information is misplaced if the Compute Engine occasion is stopped or encounters varied error circumstances. In case your workload wants extra IOPS and higher latency over sturdiness, you’ll discover it is a affordable trade-off. 

GKE lately launched built-in Native SSD assist to grow to be the primary managed Kubernetes platform to supply purposes ephemeral and raw-block storage that may be provisioned with acquainted Kubernetes APIs. This represents the end result of labor throughout the upstream Kubernetes group so as to add isolation for ephemeral volumes and to make Google Cloud APIs usually obtainable for configuring Native SSD for performant native storage.

Now Native SSD can be utilized by way of GKE with two totally different choices: 

1) The ephemeral storage Native SSD choice is for many who need totally managed native ephemeral storage backed by Native SSDs that’s tied to the lifecycle of the pod. When pods request ephemeral storage, they’re mechanically scheduled on nodes which have Native SSDs hooked up. Nodes are autoscaled when the cluster is wanting ephemeral cupboard space with cluster autoscaling enabled.

2) The Native SSD block choice is for many who need extra management over the underlying storage and who wish to construct their very own node-level cache for his or her pods to drive higher efficiency for purposes. Prospects also can customise this selection by putting in a file system on Native SSDs by operating a DaemonSet to RAID and format disks as wanted. 

We advocate clients migrate from the earlier (GA) Native SSD Rely API to the newer GA APIs to profit from higher efficiency.



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