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AI INFERENCE

Run AI Models in Production

Discover inference providers, deployment strategies, and best practices to serve AI models at scale — from free APIs to enterprise-grade solutions.

Inference Providers

Hugging Face Inference API

Free tier serverless inference for thousands of models. Great for prototyping and light workloads.

Free TierServerless100k+ Models

Hugging Face Inference Endpoints

Dedicated infrastructure for production inference. Choose your GPU, region, and scaling options.

Dedicated GPUAuto-scalingProduction

AWS SageMaker

Deploy Hugging Face models on SageMaker with optimized containers and enterprise-grade reliability.

EnterpriseAWSManaged

NVIDIA Triton

High-performance inference server supporting multiple frameworks. Ideal for maximum throughput.

High ThroughputMulti-frameworkOn-Premise

Quick Start by Task

Text Generation

NLP

Run LLMs like Llama, Mistral, and GPT-style models for text generation tasks.

Image Generation

Vision

Generate images using Stable Diffusion, DALL-E, and other diffusion models.

Speech & Audio

Audio

Transcribe audio with Whisper or generate speech with text-to-speech models.

Embeddings

Retrieval

Create vector embeddings for semantic search, RAG pipelines, and clustering.

Get Started in Seconds

Use the Hugging Face Inference API with just a few lines of code. No GPU required.

import requests

API_URL = "https://api-inference.huggingface.co/models/meta-llama/Llama-3-8B"
headers = {"Authorization": "Bearer hf_YOUR_TOKEN"}

response = requests.post(API_URL, headers=headers, json={
    "inputs": "What is AI inference?",
    "parameters": {"max_new_tokens": 200}
})

print(response.json())

Ready to learn more?

Dive into our comprehensive, chapter-by-chapter AI Inference tutorial. Learn about everything from transformer architectures and Flash Attention to hardware selection and autoscaling in production.

Start the Tutorial