F512
512 Dedicated Capacity Units (CU)
Microsoft Fabric F512 Capacity
F512 provides 512 CUs for massive enterprise workloads, large scale batch transformations, and multi-tenant data mesh platforms.
Billing Option 1
Pay-As-You-Go (PAYG)
$92.16 / hour
~$67,276.8 / month ($807,321.6 / yr)
Billed per second with no long-term commitment. Ideal for temporary development, testing, or workloads that auto-pause on weekends.
~41% Savings
Recommended Enterprise Billing
1-Year Reserved Instance
$39,693.31 / month
$476,319.72 / year (Save $331,001.88/yr)
Commit to 1 year of continuous baseline capacity to lock in massive cost savings across all data workloads.
F512 Technical Specifications & Entitlements
Power BI Free License Viewer Access
UNLOCKED: Organizational users with free Power BI licenses can view content hosted in this capacity.
Microsoft Fabric Copilot AI Assistant
ELIGIBLE CAPACITY: Verify tenant settings, region, permissions, and feature requirements.
Max Burst Compute Limit
Bursting and smoothing depend on workload and service rules. Use actual Capacity Metrics; this page does not establish a guaranteed maximum burst.
Recommended Use Cases
Fortune 500 Data Platforms • Massive Machine Learning Clusters • P4 Migrations
Frequently Asked Questions about Fabric F512
Who uses F512?
Fortune 500 enterprises, central IT data mesh hubs, and global analytics platforms with tens of thousands of active users.
Microsoft Fabric Knowledge Graph & Related Tools
Explore interconnected capacity calculators, SKU comparisons, and technical guides.
Planning & Estimators
Fabric F-SKU Deep Dives
Deep Learning Paths & Articles
Démarrage : créer une estimation de capacité vérifiable
Préparez les charges, consignez les hypothèses et validez la capacité avant l’achat.
Unités de capacité Fabric : distinguer calcul, licences et prix
Comprenez les CU et comparez des charges sans considérer un SKU comme une garantie de nombre d’utilisateurs.
Charges Spark : mesurer avant de changer la capacité
Comparez un traitement par lots selon sa durée, ses résultats, ses ressources et les charges concurrentes.
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