“Platform9’s team demonstrated one of the highest levels of customer service I have experienced. Their commitment, diligence, and great sense of ownership ensured the successful and timely rollout of our new managed AI platform.”
AI Pioneer outperformed their rollout targets by more than 200% in the first six weeks after the launch of their new managed platform powered by Platform9 Managed Kubernetes.
Company: AI Pioneer
Company size: 370 employees
Industry: AI and Deep Learning
Products used: Platform9 Managed Kubernetes
In the new era of accelerating AI transformation, one AI company is pioneering a full-stack generative AI hardware and software platform, enabling quick deployment and operation of deep learning models in customer data centers. AI Pioneer’s custom-chip AI hardware vastly outperforms traditional GPUs, enabling their customers’ data scientists to train models faster and generate high-quality text, images, and content from confidential data.
In preparation for the release of their managed platform, AI Pioneer’s DevOps teams were tasked with finding an efficient method to scale delivery and operations across their extensive base of enterprise customers.
A standardized approach was essential to remove complexity and streamline rollouts. To accomplish this, they needed to buy or build a Kubernetes distribution solution and develop drivers for their custom-chip hardware. They recognized that managing Kubernetes in house wouldn’t be cost-effective and would delay the launch of their new offering by several months.
The customer turned to Platform9 Managed Kubernetes for automated delivery of their AI models and associated software to customer locations.
They used Platform9 APIs for end-to-end Kubernetes provisioning, easing deployment and creating a scalable standard rollout mechanism for all customers. Platform9’s centralized management plane helped remotely upgrade Kubernetes versions and monitor the health of all customer deployments.
AI Pioneer exceeded rollout targets by more than 200% in the first six weeks. This was due to meticulous onboarding by Platform9 solution architects, who were there every step of the way, helping AI Pioneer automate end-to-end deployments with Platform9’s CLIs and APIs. They provided examples, shared best practices, and aided in configuration and architecture decisions.
Platform9’s self-service and flexible deployment for SaaS and air-gapped configurations ensured that AI Pioneer could easily meet diverse customer requirements for security and confidentiality. When a production problem arose during the initial rollout, Platform9’s outstanding support team worked tirelessly around the clock to quickly diagnose and resolve the issue.
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