AIM provides customers with granular planning, cost assessments and bill of materials for transitions from on-premise environments to VMware Cloud on AWS

August 28th, 2017, Santa Clara — Akasia, Inc., today announced the availability of Akasia Infrastructure Modeler (AIM) for customers of VMware Cloud™ on AWS. Launched today with initial availability, VMware Cloud on AWS brings together VMware’s enterprise-class Software-Defined Data Center (SDDC) software and elastic, bare-metal infrastructure from Amazon Web Services (AWS) to give organizations consistent operating model and application mobility for private and public cloud. AIM delivers granular bill of materials and projected costs of running workloads in the cloud should they be migrated from on-premise environments and confirms the cost economics of migrating applications to VMware Cloud on AWS.

Customers can start modeling for migrations to VMware Cloud on AWS by creating an account in AIM at and discovering their on-premise environments.

Akasia offers a complete suite of cloud planning solutions for lift & shift migrations as well as new deployments in the cloud including
• The Akasia Infrastructure Modeler (AIM) for lift & shift migrations: AIM is a SaaS application that discovers on-premise resources, and maps them to equivalent and right-sized cloud templates in minutes. In addition to mapping every VM to a cloud template, AIM’s cost assessment includes “hidden costs” such as network and I/O that incur additional charges in the cloud, and additional cloud services that need to be ordered to build a full environment in the cloud.
AIM Cloud Modeling Reports provide a granular cost comparison for on-premise vs. various clouds and a comprehensive cloud bill of materials that forms a starting point for lift and shift cloud migration projects.

• The Akasia Cloud Modeler (ACM) for new cloud deployments: ACM is a SaaS application that allows a user to select and configure cloud-native resources such as serverless computing, cloud storage and cloud data bases, etc. and compare the costs across different clouds.
ACM always has the latest cloud resource list and prices, and is the go-to planning solution for refactoring to cloud-native options.

• The Akasia Cloud Experts (ACE): ACE is a team of cloud experts who provide services involved in cost planning, bill of materials, performance estimates, comparisons across clouds and migration services. Akasia SaaS tools are easy to use and ACE further simplifies and expedites cloud transition projects so that organizations can transition to the cloud confidently.

Landing page for AIM for VMware Cloud on AWS
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“Customers love the innovative features and familiarity of VMware and the easy access to emerging technologies such as Artificial Intelligence, machine learning and IoT platforms that are conveniently available in AWS. Now with VMware Cloud on AWS they get the best of both worlds,” said Gautam Thockchom, CTO of Akasia. “Customers who are transitioning from on-premise VMware to cloud do not have to go through the cost and complexity of converting their VMware VMs to AWS AMI/VMs and instead can focus on their next generation applications.”

“Akasia’s cloud planning solutions enable customers to discover their on-premise resources and map them to the most optimal cloud resources in minutes”, said Ian Upton, Chief Business Development Officer” of Metron-Athene, Inc. “Akasia’s automated SaaS solution removes any doubts about cost savings and ambiguities about what to order in the cloud when planning transitions to the cloud.”

VMware Cloud on AWS technology partners enable customers to deploy the same proven solutions seamlessly in both the public and private cloud. VMware simplifies deployment and eliminates the need for partners to refactor solutions for VMware Cloud on AWS. If a partner solution works on-premises in a VMware vSphere® environment, it will easily support VMware Cloud on AWS. VMware technology partners complement and enhance native VMware Cloud on AWS service and enable customers to realize new capabilities.

“VMware Cloud on AWS provides customers a seamlessly integrated hybrid cloud offering that gives customers the SDDC experience from the leader in private cloud, running on the leading public cloud provider, AWS,” said Mark Lohmeyer, vice president, products, Cloud Platforms Business Unit, VMware. “Solutions such as the Akasia Infrastructure Modeler enable IT teams to reduce cost, increase efficiency, and create operational consistency across cloud environments. We’re excited to work with partners such as Akasia to enhance native VMware Cloud on AWS capabilities and empower customers with flexibility and choice in solutions that can drive business value.”

About VMware Cloud on AWS
Delivered, sold and supported by VMware as an on-demand service, and running on elastic, bare-metal AWS infrastructure, VMware Cloud on AWS is powered by VMware Cloud Foundation™, the unified SDDC platform that integrates vSphere, VMware vSAN™ and VMware NSX® virtualization technologies. With the same architecture and operational experience on-premises and in the cloud, IT teams can quickly derive business value from use of the AWS and VMware hybrid cloud experience. For more information on the VMware Cloud on AWS partner ecosystem, visit:

About Akasia, Inc.
Akasia,, is a leading provider of easy to use SaaS cloud planning solutions such as the Akasia Infrastructure Modeler and the Akasia Cloud Mapper. Akasia’s solutions help enterprises plan transitions to the cloud by projecting granular costs and bill of materials needed to replace on-premise resources with cloud resources, or build out a new hybrid infrastructure. Akasia’s SaaS solutions can be accessed at It is headquartered in Santa Clara, CA and founders have deep expertise in building enterprise technology with prior stints at VMware, Commvault, Sun Microsystems and Gale Technologies.

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VMware, VMware Cloud, vSphere, Cloud Foundation, vSAN, and NSX are registered trademarks or trademarks of VMware, Inc. in the United States and other jurisdictions.

Media Contact(s):
Sarita Sinha


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