Might doesn’t make right, but it sure does help. The hyperscalers, cloud builders, and co-location datacenters of the world that operate at massive scale have an interconnectivity problem, and it has nothing to do with the feeds and speeds of a switch. …
If you have not figured it out yet, this is not your grandfather’s Microsoft. …
Just because computing and storage are commodities does not mean, by any stretch of the imagination, that they are inexpensive. …
Bringing the Azure platform from Microsoft’s own public cloud down into the datacenters of enterprises and service providers means more than just giving these shops the same tools to manage raw virtualized compute, storage, and networking. …
In a very real sense, the world’s three biggest public cloud operators are also among the largest server and storage manufacturers. …
FPGAs might be the next big thing for a growing host of workloads in high performance and enterprise computing, but for smaller companies, not to mention research institutions, the process of onboarding is not simple—or inexpensive. …
There are many vectors to scale, and we try to examine them all here at The Next Platform as we consider the implications for the systems, storage, and switching that IT organizations buy or rent to support their applications. …
A public cloud is, at its most basic level, a giant shared computing facility that spans a datacenter or multiple datacenters, and as such, it needs a kind of operating system of its own to make the collection of servers, storage, and switches behave as a single machine to both its users and to the company that is operating the cloud. …
For certain kinds of modeling, simulation, and machine learning workloads, the advent of GPU coprocessors has been a watershed event. …
Microsoft doesn’t just love running Linux workloads on the Azure cloud. …
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