As more and more organizations choose to train or fine-tune their own AI models, the field of MLOps is becoming increasingly important. Many of the leading MLOps tools are open-source. While these tools offer cutting-edge AI/ML and data science features, they often lack enterprise-scale data management capabilities. Pairing these tools with an intelligent data infrastructure from NetApp can help to address this gap.
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In this post I’ll introduce you to workload factory and discuss the core concepts and benefits of the service.
The workload management challenge
So what is BlueXP workload factory?
The concepts behind workload factory
Workload-centric management
Automated best practices implementation
Meeting different operational models
Automatic generation of IAC code snippets
Embracing a new approach for workload management
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Learn how to optimize space reclamation when using NVMe-based storage with VMware vSphere 8 and ONTAP 9.16.1 and deep dive into managing datastore capacity with the next-generation block storage protocol.
In this post, I'll introduce you to the NVMe deallocate command in ONTAP 9.16.1, which optimizes storage by enabling ESXi and other hosts to reclaim unused data blocks, thereby enhancing overall efficiency. The post also provides a historical overview on the topic of in-band space reclamation with block protocols.
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