2026 Лучшие инструменты: AI Infrastructure

G

Google Gen AI Python SDK

SDK для ИИ

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.

N

Nomic

AI База Знаний

Nomic is an AI agent platform for architecture, engineering, and construction firms. It grounds search, review, drafting, and compliance workflows in drawings, specifications, project data, and connected systems.

V

vLLM

Платформы инференса ИИ

vLLM is an inference and serving engine for large language models, designed for high-throughput, memory-efficient deployment. It helps developers and infrastructure teams run open-source models through an OpenAI-compatible API across supported compute platforms.

C

Cerebras Inference

Платформы инференса ИИ

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.

P

Prime Intellect

Инфраструктура для ИИ-агентов

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.

H

Hyperbrowser

Инфраструктура для ИИ-агентов

Hyperbrowser provides on-demand cloud browsers and sandboxes for AI agents, web automation, scraping, testing, and agentic code execution. It connects browser workflows through an API, Playwright, Puppeteer, Python, or Node.js.

千

千帆大模型平台

Конструктор ИИ-агентов

百度智能云千帆大模型平台是面向企业的一站式大模型服务与 Agent 开发平台，提供模型调用、Agent 构建、知识库应用、工具组件和企业级运维能力。它适合需要开发、部署和管理 AI 应用的企业及开发团队。

B

Bento

Платформы инференса ИИ

Bento is an inference platform for packaging, deploying, optimizing, and operating AI and machine-learning models at scale. It supports open and custom models across cloud, on-premises, Kubernetes, and bring-your-own-cloud environments.

C

Context7

AI Инструменты Разработчика

Context7 brings current, version-specific library documentation and code examples into AI coding assistants through an MCP integration. It helps developers generate code against the APIs and package versions they are using.

F

FriendliAI

Платформы инференса ИИ

FriendliAI is an inference cloud for deploying frontier open-weight and custom AI models in production. It offers serverless Model APIs, dedicated GPU endpoints, and BYOG options for agent, multimodal, and other high-throughput workloads.

D

DSPy

AI Инструменты Разработчика

DSPy is an open-source framework for programming language-model applications instead of manually prompting them. Its public repository provides the project code, documentation, tests, issue tracking, and contribution workflow.

D

DeepEval

ИИ-ассистенты для тестирования

DeepEval is an open-source LLM evaluation framework for testing and benchmarking AI applications. It helps developers run pytest-native evaluations, score outputs and agent traces, and iterate on systems across text, image, audio, and voice workflows.

C

CUDO Compute

Развертывание моделей ИИ

CUDO Compute designs, deploys, and operates dedicated NVIDIA GPU infrastructure for enterprise AI training and inference. It combines power-ready sites, cluster engineering, commissioning, and ongoing operational support for production workloads.

D

Docker MCP Enterprise Gateway

Инфраструктура для ИИ-агентов

Docker MCP Enterprise Gateway governs how MCP-compatible clients access approved servers and tools. It applies identity-aware policy, supplies credentials from an approved secret store, and records tool-call decisions for enterprise teams.

B

Black Forest Labs

AI Видеогенератор

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.

R

Ray

Платформы инференса ИИ

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.

T

TensorZero

Шлюзы и маршрутизация ИИ

TensorZero is an open-source LLMOps platform for building and operating production-grade LLM applications. Its stated scope combines an LLM gateway with observability, evaluation, optimization, and experimentation tools.

N

New API

Шлюзы и маршрутизация ИИ

New API is an open-source, self-hosted AI gateway for developers and teams. It provides a unified OpenAI-compatible endpoint for connecting multiple AI providers, selecting models, configuring channels, and monitoring usage on their own infrastructure.

D

DeepInfra

Платформы инференса ИИ

DeepInfra provides hosted machine-learning model inference and on-demand GPU instances for developers and teams. Its catalog covers text, image, audio, video, embedding, reranking, and other model workloads with pay-as-you-go pricing.

L

Lambda

Платформы инференса ИИ

Lambda provides cloud GPU compute for AI training, fine-tuning, inference, and prototyping. Teams can launch on-demand GPU instances, use production-ready 1-Click Clusters, or discuss reserved and single-tenant infrastructure for larger workloads.