Best AI Model Hosting & Inference Tools

Small Language Model (SLM) platform that lets enterprises train, merge, and deploy domain-specialized models on their own data.

Key Features:

Serverless inference platform optimized for generative media — image, video, audio, and 3D models served with second-level latency.

Key Features:

Production inference platform for open-weight LLMs, multimodal models, and custom fine-tunes — known for very fast serving (FireAttention/FireOptimizer), reliable function calling, and JSON mode at low per-token prices.

Key Features:

AI inference cloud built on Groq's own LPU (Language Processing Unit) chips that serves open-weight LLMs, Whisper, and vision models at the lowest latency in the market, with an OpenAI-compatible API.

Key Features:

• •Very low-latency LLM inference through GroqCloud
• •OpenAI-compatible style developer workflows for chat and agents
• •Support for popular open models such as Llama, Mixtral-style, and Whisper-class workloads as available

Run, fine-tune, and deploy thousands of community AI models with a single HTTP API — covering image, video, audio, language, and embedding models, billed per-second of GPU time.

Key Features:

AI-native cloud for inference, fine-tuning, and dedicated GPU clusters, offering 200+ open-source and frontier-class models behind an OpenAI-compatible API plus reserved H100/H200/B200 capacity.

Key Features:

• •Serverless inference APIs for open and proprietary model workloads
• •Batch Inference API for large asynchronous token processing jobs
• •Fine-tuning platform for shaping open models with private or domain data