CPU Embedding Service

Software componentKnowledge & DataKnowledge & Dataarc:CPUEmbeddingService

An embedding service that runs transformer embedding models on CPUs, trading much higher latency and per-query cost for not needing GPU infrastructure.

Responsibility. Computes embeddings with CPU-based transformer inference.

Also known as: CPU-based transformers

Variant of Embedding Service abstract

When to choose. Choose only when GPU infrastructure is unavailable and query volume is low (below the few-thousand-queries-per-day GPU break-even); pair with an embedding cache.

Direct neighbourhood (hover for relationship types)

Relationships

deployed on structural

CPU Compute Node Ch6.1

alternative to variability

Self-Hosted GPU Embedding Service Ch6.1

Design guidance

SHOULD be paired with aggressive embedding caching to avoid recomputation, given its low throughput.

Quantitative guidance

As stated by the sources; verify before use.

450 ms query latency, 15 docs/s batch throughput, ~$0.24 per thousand queries on AWS (Ch6.1).

Classification

Quality attributes: Maintainability (ISO/IEC 25010)

Sources

Ch6.1: T. Nguyen, "Embeddings and RAG Fundamentals," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 6.1. ISBN: 9798244538229.