UALink 1.0: Ultra‑High Bandwidth AI Accelerator Fabric
Introduction Problem statement: Modern LLM training and inference at pod scale are constrained by interconnect bandwidth, latency, and t...
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NVLink 5.0 AI training: Scaling Multi‑GPU Fabrics Beyond CXL
Introduction Problem statement: modern LLM training needs both very high inter‑GPU bandwidth and low latency collective operations; arch...
CXL 3.1 Fabric-Attached Memory for AI Data Centers
Introduction Problem statement: AI training and inference clusters are running out of flexible, large-capacity memory that can be shared...
Advanced
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Infrastructure & DevOps Engineering
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Kubernetes, AWS, Azure, GCP, Karpenter, Cluster Autoscaler
Kubernetes cost optimization multi-cloud — practical playbook
Introduction Problem statement (production-framed): Running Kubernetes clusters across AWS, Azure and GCP often yields spiky bills, opaq...
Advanced
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CXL, PCIe, Linux kernel, Fabric Networking
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Systems Architecture & Performance Engineering
CXL 4.0: Bandwidth Doubling, Bundled Ports & Multi-Rack Memory Fabrics
Introduction Problem statement (production-framed): Datacenter AI inference clusters are hitting two limits simultaneously — host memory...
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