AI/MLCloudDevelopersNews

Platform9 Helps AI Startup Norna Remove Kubernetes Production Bottlenecks

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Platform9 has announced that AI startup Norna experienced a ten-fold productivity improvement and a 78% total cost of operations (TCO) reduction after implementing Platform9’s Managed Kubernetes-as-a-Service to power the company’s retail fashion AI technology.

Norna turned to Platform9 to solve two major challenges the company was facing in using a public cloud platform – the rapidly escalating costs for its public cloud based infrastructure and the high demands on the team’s time to manage its Kubernetes infrastructure. Platform9 said its Managed Kubernetes-as-a-Service provided Norna with the simplest and fastest path to running its production, cloud-native data harvesting, and processing applications, enabling Norna to quickly deploy Kubernetes clusters with a rich set of pre-built, cloud-native services and infrastructure plug-ins.

Since utilizing Platform9 Managed KaaS, Norna improved its customer service, reaching 99.98% uptime for its Kubernetes clusters after a 90% reduction in unplanned downtime. The 78% reduction in Norna’s overall TCO for Kubernetes is attributed to a combination of workload repatriation from the public cloud, reducing cloud costs by 50%, and operations productivity gains by leveraging Platform9’s hyperscale automation, the company said.

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Norna’s applied AI technology stack uses Kubeflow, Tensorflow, and Pytorch, and its AI approach includes two types of artificial neural networks – LSTMs (Long short-term memory networks, a form of recurrent neural network (RNN)) and CNNs (convolutional neural networks) for image analysis.

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