# 1 Billion Classifications

DevFeed: [1 Billion Classifications](<https://devfeed.tech/articles/1-billion-classifications-7132.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/billion-classifications>)

Author: Derek Thomas

Published: 2025-02-13T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Inference](<https://devfeed.tech/topics/inference.md>), [inference-endpoints](<https://devfeed.tech/topics/inference-endpoints.md>), [model-deployment](<https://devfeed.tech/topics/model-deployment.md>), [k6](<https://devfeed.tech/topics/k6.md>), [Latency](<https://devfeed.tech/topics/latency.md>), [Embeddings](<https://devfeed.tech/topics/embeddings.md>), [Grafana](<https://devfeed.tech/topics/grafana.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>), [Testing](<https://devfeed.tech/topics/testing.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [JavaScript](<https://devfeed.tech/topics/javascript.md>), [.env](<https://devfeed.tech/topics/dotenv.md>)

Tags: [classification](<https://devfeed.tech/tags/classification.md>), [cost](<https://devfeed.tech/tags/cost.md>), [cpu](<https://devfeed.tech/tags/cpu.md>), [embedding](<https://devfeed.tech/tags/embedding.md>), [embeddings](<https://devfeed.tech/tags/embeddings.md>), [enterprise](<https://devfeed.tech/tags/enterprise.md>), [grafana](<https://devfeed.tech/tags/grafana.md>), [inference](<https://devfeed.tech/tags/inference.md>), [inference-endpoints](<https://devfeed.tech/tags/inference-endpoints.md>), [javascript](<https://devfeed.tech/tags/javascript.md>), [k6](<https://devfeed.tech/tags/k6.md>), [latency](<https://devfeed.tech/tags/latency.md>), [nlp](<https://devfeed.tech/tags/nlp.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [performance](<https://devfeed.tech/tags/performance.md>), [python](<https://devfeed.tech/tags/python.md>), [scale](<https://devfeed.tech/tags/scale.md>), [testing](<https://devfeed.tech/tags/testing.md>)

## AI overview

This article presents a methodology for calculating cost and latency when running large-scale classification and embedding workloads. It examines model architectures, hardware options, deployment, load testing, and inference servers, with a focus on processing 1 billion inputs and balancing batch-inference cost against latency.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.