Level The Playing Field For IaaS Infrastructure, On-Premise Or In The Cloud, And At The Core Or Edge, With Fungible Solutions
Traditionally, Infrastructure-as-a-Service (IaaS) has been associated with services provided by major cloud providers. Today, the IaaS landscape is rapidly evolving – gaining strong popularity with organizations looking to build cloud-like infrastructure at the edge and on-premise. While public clouds offer improved agility, scalability and management simplicity, other factors such as the need for better performance, lower latencies, better control over security and privacy, and data sovereignty are pulling organizations in the direction of on-premise IaaS. While the subscription-based pricing model removes the need for high capital expenditure, overall TCO savings may not apply to all scenarios. Organizations have shifted from only using public cloud services to using hybrid clouds with a goal of achieving the best of both worlds. There is growing awareness that there is no one-size fits all model and each organization must choose the extent of their use of public cloud services based on their business needs.
Fungible solutions provide a hyperscale-like, multi-tenant infrastructure that can be deployed at the edge or on-premises, delivering the agility, scalability and simplicity benefits of public clouds, while offering bare-metal performance, iron-clad security and full control over cost decisions. Data center resources are disaggregated and then composed dynamically to deliver just-in-time, right sized infrastructure for both traditional and modern workloads using a single pane of glass management software.
Sometimes, you can have your cake and eat it too.
Fungible solutions give IaaS providers a powerful alternative to conventional storage, compute, and networking, eliminating nagging limitations and pushing infrastructure flexibility, performance, and value to unprecedented levels. The unparalleled performance translates to application use cases such as high-performance databases, parallel file systems, AI/ML, and analytics platforms.