OpenStack
Your Cloud Bill Isn't the Same as Your Cloud Cost
Your cloud bill is only part of the cost. Learn how operations, licensing, data movement, utilization, and migration affect cloud TCO.
Read field noteGet Your Cloud Game On Now
Cloud is faster, more agile, and more secure than traditional IT. Learn how to leverage it for a lasting competitive advantage.
Conquer the Competition with
OpenStack Cloud Whitepaper
You've been educating yourself about cloud for what seems like ages, following the news, the success stories, and the opinions and experiences of adopters and service providers. The results are long in: Cloud is faster, more agile, easy-to-manage, and flexible as your organization meets new challenges. Yes, it's more secure than traditional IT, too, so if you're waiting to move to cloud, you have lots of reasons to leap now.
You need IT infrastructure that works now and adapts to the unforeseen changes of the future, and you need it now to get and stay competitive. While cloud growth has been massive year-over-year, you can still get ahead of the curve. But what kind of cloud is right for you? Public, private, hybrid? And which provider is going to give you the most bang for your buck and the individual attention to guide you successfully not just at the start, but through your cloud experience.
This whitepaper breaks it down for you, and here's a hint: The foundation of your cloud should be OpenStack. Now let's explore why.
Get in Touch
Fill out the form below and we'll get back to you shortly.
Field notes / Latest
What production is teaching us.
Engineering notes from operating open infrastructure: the failures, design decisions, and upstream work that make open infrastructure better.
Browse all field notes
GPUs
AI Infrastructure Landing Zones: Scaling Enterprise GPU Access
Build an AI infrastructure landing zone for secure, repeatable GPU access across teams with standardized compute, storage, networking, quotas, and operations.
Read field note
GPUs
Shared vs. Dedicated GPUs for Enterprise AI
Compare dedicated GPUs, MIG, vGPU, and time-slicing for enterprise AI. Learn how isolation, performance, utilization, and workload type affect GPU allocation.
Read field note