Artículo: AMZ-B0G5G6GNZ1

Designing AI in Hybrid and Multi-Cloud: Master Data, Models, and Infrastructure Across Distributed Cloud Platforms

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Sin stock
Peso con empaque
0.20 kg
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No
Condición
Nuevo
Producto de
Amazon

Sobre este producto
  • Building hybrid and multi-cloud AI architecture that balances performance, compliance, and cost
  • Designing data pipelines, data lakes, feature stores, and vector-based retrieval with consistency across environments
  • Deploying and governing machine learning models using containerization, registries, automation, and reproducible builds
  • Enforcing strong identity, security, and policy controls across cloud providers without fragmented access or tooling
  • Implementing observability, monitoring, incident response, and disaster recovery for distributed AI workloads
  • Managing spend, resource allocation, and cross-cloud optimization with confidence and transparency
  • Applying practical decision frameworks to evaluate when multi-cloud or hybrid architecture is truly the right fit

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