Microsoft Previews Avere vFXT for Azure

Over at the Microsoft Blog, Rebecca Thompson writes that Avere vFXT software for Azure delivers new possibilities for running HPC workloads in the cloud. “With this new software solution, you can now easily connect on-premises infrastructure to Azure compute or “lift and shift” file-based workloads in Azure to run between Azure blob in the same manner.”

Common Myths Stalling Organizations From Cloud Adoption

Cloud adoption is accelerating at the blink of an eye, easing the burden of managing data-rich workloads for enterprises big and small. Yet, common myths and misconceptions about the hybrid cloud are delaying enterprises from reaping the benefits. “In this article, we will debunk five of the top most commonly believed myths that keep companies from strengthening their infrastructure with a hybrid approach.”

Cloud Solutions for HPC Efficiency

This white paper reviews common HPC-environment challenges and outlines solutions that can help IT professionals deliver best-in-class HPC cloud solutions—without undue stress and organizational chaos.

Best-in-Class HPC Cloud Solutions

This white paper reviews common HPC-environment challenges and outlines solutions that can help IT professionals deliver best-in-class HPC cloud solutions—without undue stress and organizational chaos.

Avere Enables Cloudbursting Across Different Providers at SC15

“Avere Systems is now offering you ultimate cloud flexibility. We’ve now announced full support across three different cloud service providers: Google, Amazon, and Azure. And now we offer customers to be able to move their compute workloads across all these different cloud providers and store data across different cloud providers to achieve ultimate flexibility.”

Avere Introduces FXT Virtual Edge Filer for Amazon EC2

With the Avere FXT Edge Filer, uou basically get the same hardware operating EC2 cloud as you get from our physical appliances. Then you are on our software and what our software does is, it has the intelligence to automatically cache the active data up in the cloud. It pulls this data either from the Amazon S3 storage cloud or from your data center, from your NAS or object systems that are in your data center, and the goal there is to hide the latency to the storage.