When Your Net-Zero Pledge Meets Your GPU Cluster
AI is driving emissions up and GPU utilization down. Learn why sustainability is an infrastructure problem and how OpenStack and Kubernetes solve it.
Cloud is faster, more agile, and more secure than traditional IT. Learn how to leverage it for a lasting competitive advantage.
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.
Insights, updates, and stories from our team
AI is driving emissions up and GPU utilization down. Learn why sustainability is an infrastructure problem and how OpenStack and Kubernetes solve it.
Training and inference have fundamentally different infrastructure needs. Learn what your Kubernetes platform must handle for GPU scheduling, storage, networking, and autoscaling across the full MLOps lifecycle.
Is your infrastructure ready for AI workloads? Evaluate compute, storage, networking, and orchestration layer by layer to find the gaps before they stall you.