Visibility that drives elasticity: Introducing Capacity Blocks and Capacity Dashboard
Blog post from Nebius
Nebius, a purpose-built AI cloud provider, addresses the ongoing scarcity of AI compute resources by enhancing its platform with new features aimed at improving elasticity and transparency. The introduction of Capacity Blocks and Capacity Dashboard allows organizations to better manage GPU resources, providing clear visibility into available capacity and facilitating efficient planning for machine learning teams. Capacity Blocks offer an intuitive overview of reserved GPU capacity and help align resources with workload needs, while the Capacity Dashboard and API offer real-time transparency and predictability in GPU availability across Nebius AI Cloud. These tools aim to streamline capacity management, allowing teams to make informed decisions, optimize their use of infrastructure, and maintain productivity without disruptions, as they prepare for a gradual rollout in early 2026. Nebius commits to continuously evolving its platform to empower AI practitioners with the compute resources necessary to achieve their goals effectively.
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