PixStor 'software-defined, data-aware'
Pixit Media’s PixStor is now available on Google Cloud Platform (GCP) Marketplace. The solution enables organisations to expand on-premise render pipelines into Google Cloud – whilst still enjoying all the performance, scalability and data management benefits of an on-premise PixStor deployment.
GCP Marketplace lets users quickly deploy functional software packages that run on Google Cloud Platform. GCP Marketplace allows customers to easily start up a familiar software package with services like Compute Engine or Cloud Storage, with no manual configuration required.
Constantly faced with tight project deadlines and competing for new projects, creative organisations need to burst to the cloud to gain access to more compute power at peak times. This latest offering from Pixit Media enables PixStor users to rapidly deploy cloud storage infrastructure on GCP and integrate on-premise resources without compromising the sustained performance and flexibility they expect from their PixStor install. Driven from guided menus offering a variety of sizing options, with simple push-button deployment and billing handled entirely within GCP, customers are free to spin up PixStor at exactly the moment they need it.
Every PixStor installation on GCP features Ngenea, Pixit Media’s data transport mechanism, which allows the automatic transfer of only the data that is needed between on-premise and the cloud. Having this level of intelligence in the data transport helps users meet deadlines by allowing work to start faster, while reducing significant egress and infrastructure costs through the elimination of unnecessary file copies.
“PixStor’s availability on GCP Marketplace gives our clients an easy way to expand computational resources on demand and with confidence, so that they can maintain agility and their competitive edge,” said Barry Evans, Pixit Media’s co-founder and CIO. “Combining all the power of PixStor on-premise with Google Cloud ensures one of the fastest possible project completion times, at the lowest possible instance cost.”
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