AI Infrastructure
AI Infrastructure in the AI Stack is the layer that provides the hardware, software, and systems required to operate, train, and deploy AI models. Its main responsibility is to supply compute (CPU/GPU), volume, network, security, and orchestration for every AI workload.
The main components of AI Infrastructure are:
Orchestration for every AI workload (training, inference, pipeline, autoscaling)
Vector database used for semantic search, RAG, embedding storage, AI metadata, and more
Stores training data, model repository, and more
NVIDIA GPU
High Performance Compute
Network
GPU infrastructure for AI training/inference: HGX H100, L40s, A40, and more
Powerful compute platform with Intel Gen4 and AMD Genoa
High-performance interconnect: InfiniBand, 100G / 50G Ethernet
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