SKU/Artículo: AMZ-B0G3XCC5VL

Kubernetes for AI and Data Engineering: Build Scalable Pipelines, Train Faster, and Deploy Production-Ready ML Systems

Disponibilidad:
Fuera de stock
Peso con empaque:
0.33 kg
Devolución:
No
Condición
Nuevo
Producto de:
Amazon

Sobre este producto
  • Run ETL and feature engineering pipelines using Spark, Ray, and Kubernetes Jobs.
  • Train models faster with distributed GPU orchestration using Kubeflow, PyTorchJob, and advanced schedulers.
  • Deploy resilient inference services with KServe, TensorRT, and low-latency batching strategies.
  • Manage high-throughput streaming pipelines with Kafka, Flink, and scalable event-driven inference.
  • Build retrieval-augmented generation workflows with vector databases and LLM serving.
  • Implement security, cost control, and governance for multi-tenant AI clusters.
  • Design a self-service developer experience with golden paths, templates, and internal portals.

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