{"id":2102,"date":"2023-12-01T16:16:36","date_gmt":"2023-12-01T15:16:36","guid":{"rendered":"https:\/\/vminded.com\/?p=2102"},"modified":"2023-12-01T16:16:36","modified_gmt":"2023-12-01T15:16:36","slug":"new-instance-type-m7i-with-disaggregated-storage-for-vmware-cloud-on-aws","status":"publish","type":"post","link":"https:\/\/vminded.com\/index.php\/2023\/12\/01\/new-instance-type-m7i-with-disaggregated-storage-for-vmware-cloud-on-aws\/","title":{"rendered":"New instance type: M7i with disaggregated storage for VMware Cloud on AWS"},"content":{"rendered":"\n

Since the launch of VMware Cloud on AWS, we have been releasing only two additional type of instances: i3en.metal and i4i.metal. The i3en instance type is suited for data-intensive workloads both for storage-bound and general-purpose type of clusters. The i4i.metal released in August<\/a> last year is a new generation of instances that supports memory bound and general purpose workloads like databases, VDI or mission-critical workloads.<\/p>\n\n\n\n

We are proud to announce the release of a new disaggregated instance option to support new innovative use cases like Artificial Intelligence (AI) and Machine Learning (ML): <\/p>\n\n\n\n

welcome to the m7i.metal-24xl<\/strong> instance !<\/p>\n\n\n\n

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With this announcement, customers will soon have the option to choose between three instance types, which include i3en.metal, i4i.metal and m7i.metal-24xl.<\/p>\n\n\n\n

M7i Use Cases<\/h2>\n\n\n\n

Traditionally, we have offered to extend the SDDC storage capacity by adding an additional number of hosts which was not the best in term of cost optimization. In addition we have seen customers willing to add compute for certain use case or business needs without having to add more storage.<\/p>\n\n\n\n

As AI (Artificial Intelligence) and ML (Machine Learning) use cases have also become crucial to businesses, driving insights, automation, and innovation, the need for specialized solutions tailored to AI\/ML workloads becomes a reality. This kind of applications generates and processes vast amounts of data, requiring performant, reliable, and scalable storage architectures as well as a performant and reliable modern compute. <\/p>\n\n\n\n

With the release of this new Amazon EC2 M7i instance <\/a>type, we offer the capacity to scale the storage elastically and independently from the compute capacity. This will allow more flexibility in controlling the compute and storage resources.<\/p>\n\n\n\n

The M7i instance itself doesn’t come with any storage and an external storage solution like VMware Cloud Flex Storage<\/a> (that we announced last year) must be configured for planning the capacity of the clusters. This permits to size the storage for the real needs and avoid wasting resources and paying for unused or redundant capacity.<\/p>\n\n\n\n

The other innovation coming with the m7i.metal instance is the Advanced Matrix Extensions accelerator which accelerates matrix multiplication operations for deep learning (DL) inference and training workloads.<\/p>\n\n\n\n

With the solution, customers will be able to build a cost-effective infrastructure solutions and find the right balance between the storage and compute resources.<\/p>\n\n\n\n

Some of the key use cases of m7i.metal-24xl instance are:<\/p>\n\n\n\n

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