2026 Best AI Infrastructure tools
AI gateways, APIs, model deployment, inference, observability, and developer infrastructure tools.
Maintained by Findings24
AI Infrastructure
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Google Gen AI Python SDK
AI SDKs
A Python SDK for integrating Google’s generative models into applications through the Gemini Developer API and Gemini Enterprise Agent Platform APIs. It provides client libraries, typed request helpers, and synchronous or asynchronous workflows for developers building with Google’s generative AI services.
FreemiumCerebras Inference
AI Inference Platform
Cerebras Inference is a hosted AI inference cloud and API for running supported language models at low latency. It helps developers build interactive applications, agents, coding tools, research workflows, and other real-time AI experiences with OpenAI API compatibility.
Freemium
Prime Intellect
AI Agent Infrastructure
Prime Intellect is an open stack for training, evaluating, deploying, and improving AI models and agents. It combines RL environments, hosted evaluations and training, model inference, GPU compute, and isolated sandboxes for research and production workflows.
FreemiumBlack Forest Labs
AI Video Generator
Black Forest Labs develops FLUX models for visual generation and understanding across image, video, audio, and action prediction. Users can experiment in a browser playground, access models through an API, or run selected open-weight models on their own infrastructure.
Freemium
Ray
AI Inference Platform
Ray is an open-source, Python-native framework for distributing and scaling AI, machine learning, and other compute-intensive workloads. It helps developers run workloads from a laptop to clusters with thousands of GPUs and supports data processing, training, serving, inference, and reinforcement learning.
Freemium








