AI model deployment tools convert trained or open-source models into stable, callable services, involving inference optimization, scaling, versioning, monitoring, and cost management. The page is designed for engineering teams to compare GPU selection, cold start, throughput latency, private networks, rollbacks, zone coverage, and pay-as-you-go.
RunningHub is a highly available cloud-based ComfyUI creation platform that focuses on editing and running ComfyUI workflows online without on-premises deployment, allowing you to quickly complete AI painting and image generation. RunningHub integrates rich nodes and popular model ecosystems, supports model calls such as Stable Diffusion and Flux, and covers common scenarios such as text-to-text, graph-to-diagram, style migration, and high-definition enlargement and repair. In addition to images, RunningHub also provides generation capabilities such as image and video generation, making it suitable for e-commerce materials, poster design, and content production. You can publish workflows as AI applications with one click, open them to others for use and earn benefits, and support API calls and work management, making RunningHub a one-stop AIGC production and distribution tool.
Teachable Machine is Google's web-based machine learning model builder that allows anyone to quickly train their own classification model without programming. Teachable Machine allows you to train with image, sound, and pose data, acquire, train, and test in real-time in a few steps, and export the model for use on websites, apps, or creative interactive projects. With Teachable Machine, you can build prototypes, demonstrations, or bring ideas to your product faster, while deploying and iterating on common front-end and mobile solutions.
Artificial Analysis is an independent AI model evaluation and comparison platform, focusing on AI detection and benchmarking with a unified caliber, helping you quickly select models and inference services that are more suitable for your business. Artificial Analysis provides AI model rankings and comparison pages, covering key indicators such as quality performance, price and cost, output speed, latency, and context, and is organized by provider and model version, making it easy to conduct horizontal evaluation and solution selection. Whether you are working on an AI chat application, an AI programming assistant, or an enterprise-level agent, Artificial Analysis can use a clear data view and evaluation system to lower the decision-making threshold of "selecting a model, calculating costs, and comparing performance".
Xiaomi MiMo API Open Platform is an intelligent service interface platform for developers, providing stable and easy-to-use Xiaomi MiMo API and developer toolset. Standardized AI conversation APIs, authentication and key management, call monitoring and usage statistics, error logs and alarms help teams quickly integrate intelligent assistants in applications, websites, mini programs, and IoT devices. The platform emphasizes high availability, high concurrency, and security compliance, and supports on-demand expansion and version management, making it easy to iteratively launch in different business scenarios. With the Xiaomi MiMo API Open Platform, enterprises and individuals can implement AI applications more efficiently, shorten the R&D cycle, and optimize the experience.
302.AI is a pay-as-you-go AI resource platform for enterprises, providing multimodal models and unified APIs to support online applications and cross-platform clients. It integrates mainstream and open-source models, covering business scenarios such as AI chat, AI writing, AI drawing, AI video, and AI audio, eliminating the need for multi-vendor docking and decentralized key management. One-stop calling, unified billing, and permission control to meet the team's multi-environment needs from prototype to production. The platform provides visualization tools and ready-to-use intelligent robots, supports custom model access and privatization deployment, taking into account performance and data security. At the same time, it provides comprehensive Chinese documentation and technical support to help small and medium-sized enterprises, educational institutions, and developers quickly implement AI office automation and intelligent content production.
DeepSeek Platform is an official API open platform that provides access to large models such as DeepSeek-V3 and DeepSeek-R1, and the interface is compatible with OpenAI, supporting function calling, streaming output, and inference process display. Developers can apply for API keys, view usage and model pricing in the console, and quickly integrate multilingual conversations, text generation, code generation, retrieval enhancement, tool calls, and AI programming, making it suitable for building intelligent customer service, knowledge answering, automated office automation, and enterprise applications.
Based on the SenseNova V6 multimodal base model, it integrates AI chat, AI drawing, real-time voice image understanding, code generation and other capabilities, and provides one-stop access to web experience, SDK and API. The platform supports privatization deployment, flexible computing power, pay-as-you-go billing, multilingual dialogue, enterprise knowledge base access, and security compliance guarantees, helping to quickly implement scenarios such as intelligent customer service, creative design, smart office, and education and counseling, and significantly lowering the threshold for artificial intelligence application development.
Baidu Intelligent Cloud Qianfan Large Model Platform is a one-stop generative AI platform for enterprise developers, integrating Wenxin large model (ERNIE-Bot) with third-party open source models (such as Llama, DeepSeek, Mistral, etc.) to provide a rich model call and development tool chain. The platform supports model customization fine-tuning (SFT), model deployment cloud services, data management, version management, and automated inference deployment. Developers can use AppBuilder to quickly create applications and configure model management and inference services through ModelBuilder. The platform has built-in content security and model security mechanisms, and presets rich prompt templates and application paradigms, which can significantly improve the efficiency of enterprises in building intelligent customer service, document processing, intelligent search, analysis assistants, and other scenarios. At the same time, the Qianfan platform also provides an AI-native application store, allowing developers to quickly launch various vertical scenario applications and carry out commercial operations
Google Gemini API is the latest generation of Google DeepMind's multimodal large language model interface, through which developers can call Gemini 2.0 Flash, 2.5 Pro, Gemma open source models, etc. Gemini provides multimodal input for text, images, audio, and even video, supporting up to a million token context windows, making it suitable for complex reasoning, code generation, and interactive agent scenarios. Google AI Studio is the official online IDE that helps developers quickly prototype through prompt design, parameter tuning, and the ability to export code or migrate to Vertex AI for production deployment. The platform also integrates model services such as Imagen (text-to-image), Veo (text-to-video), and Lyria (text-audio), providing open-source Gemma models for lightweight deployment and rapid experimentation. Google AI Edge enables model deployment to Android, iOS, web, or embedded devices for cross-platform low-latency inference with tools like LiteRT, MediaPipe, and more. The platform also includes a Responsible GenAI Toolkit to guide model design and compliance deployment. AI for Developers provides developers with one-stop generative AI capabilities from prototyping to commercial deployment.
Anthropic API (Claude API) is a set of developer-friendly AI interface platforms provided by Anthropic that allow developers to programmatically access high-performance language models, including Claude 4 Opus and Claude 4 Sonnet. The API supports Web Search, Model Context Protocol (MCP) connectors, file storage APIs, and code execution tools, allowing developers to build autonomous AI agents to complete complex workflows such as data analysis, document generation, and programming tasks. MCP connectors integrate tools like Google Workspace, Slack, GitHub, Stripe, and more to enable seamless AI interaction with existing systems. The Code Execution tool allows Claude to run Python code in a sandbox environment to generate visual analysis results. The Anthropic API provides a multilingual SDK (including Python, TypeScript, C#, Java) with a highly scalable and pay-as-you-go billing model, and allows developers to quickly try out, manage API keys, and usage permissions through Workbench in the Console. The API is widely suitable for building AI office assistants, programming assistants, intelligent search and analysis systems, and emphasizes the concepts of security and long-term alignment, employing constitutional AI principles to reduce harmful outputs, and is suitable for developers who need reliable, secure, and high-quality language intelligence.
Leo AI is a generative design collaboration platform for mechanical engineers with a first-of-its-kind Large Mechanical Model that turns text descriptions, hand-drawn sketches, or CAD constraints into DFMA-compliant 3D assembly models in seconds. The system automatically calls millions of standard parts libraries, mechanical calculations and cost analysis to generate technical specifications, bills of materials and optimization plans, helping enterprises save about 70% of design time and cost in the concept stage. It supports browser and local CAD plug-in access, and private deployment ensures data security, providing an efficient and professional intelligent design experience for industrial product research and development.
Chef is a full-stack AI application generator launched by Convex, allowing developers to automatically complete data model design, back-end functions, real-time databases, authentication systems, and front-end interface construction by entering a single request, and preview it in real time in the browser. The platform has built-in components such as file storage, scheduled tasks, and multi-person collaboration, which can be deployed to the cloud with one click, and also supports exporting TypeScript code to connect with GitHub for continuous integration to ensure production-level stability and maintainability. Chef is suitable for startup teams, hackathons, and enterprises to quickly validate SaaS, social, gaming, and AI agents, significantly reducing development thresholds and costs, and helping developers iterate and launch high-quality applications in minutes.