# Deployment

RepoCloud is an open-source application cloud market that allows users to easily deploy and scale their favorite open-source applications. It provides one-click deployment functionality at half the price of mainstream cloud hosts, aiming to reduce user deployment and operation costs.

Basalt is a platform focused on helping teams rapidly translate AI functionalities from ideas into actual products. It streamlines the AI development process by providing a no-code development environment, intelligent prompts, and version management features. The platform emphasizes collaboration, security, and best practices, aiming to address common reliability issues of AI in production environments. Basalt offers a free trial and is positioned for teams needing to rapidly iterate and deploy AI functionalities.

Movestax is a cloud platform tailored for modern developers, aimed at simplifying the development and deployment process through integrated solutions. It supports rapid deployment of both front-end and back-end applications and offers serverless databases, automated workflows, and more. The platform features zero-configuration deployment and supports various popular frameworks and languages, enabling developers to swiftly build, scale, and manage applications. Key advantages include efficiency, user-friendliness, and cost-effectiveness. Movestax is ideal for developers, startups, and small to medium-sized enterprises needing quick development and deployment, with a transparent pricing structure that offers local currency pricing to reduce cost uncertainties from exchange rate fluctuations.

Finetune is a developer-focused platform for fine-tuning AI intelligent agents. It allows developers to create synthetic users that reflect customer characteristics, enabling agents to test and learn in a simulated environment. The platform offers session reports and weighted execution graphs to help developers understand performance and optimize accordingly. Additionally, Finetune supports various popular AI models and frameworks, simplifying the integration and deployment process.

AIKit is an open-source tool designed to simplify the process of hosting, deploying, building, and fine-tuning large language models (LLMs). It offers a REST API compatible with the OpenAI API, supporting various inference capabilities and formats, allowing users to send requests using any compatible client. Furthermore, AIKit provides an extensible fine-tuning interface with Unsloth support, offering users a fast, memory-efficient, and user-friendly fine-tuning experience.

BasicPrompt is a tool that helps you build, deploy, and test general-purpose prompts. It provides an editor where you can write general prompts using U blocks. BasicPrompt automatically optimizes your prompts to adapt to different language models. You can evaluate the performance of prompts on different models using the built-in testing tools. BasicPrompt also supports one-click deployment of prompts to applications without coding. With BasicPrompt, you can quickly build, deploy, and share prompts, allowing team members to easily contribute.

Assistants Hub is an all-in-one AI assistant management platform that enables fast integration and deployment of AI assistants. It offers a simple and intuitive interface and tools to help users quickly develop and manage various types of AI assistants. A key advantage of Assistants Hub is its ability to quickly integrate and deploy AI assistants, allowing users to complete the process within minutes. It also provides a wealth of features and flexible customization options to cater to different user requirements.

This project is a comprehensive guide to using open-source large models, covering environment setup, model deployment, and efficient fine-tuning. It simplifies the use and application of open-source large models, enabling more ordinary learners to access and utilize them. The project is targeted towards learners interested in open-source large models and who want to get hands-on experience. It provides detailed instructions on environment configuration, model deployment, and fine-tuning methods.

Swizzle is a full-stack development platform that provides functionalities like databases, authentication, frontend, and backend, enabling rapid application development. It supports JavaScript, offering REST endpoints, scheduled tasks, WebSockets, and more. The frontend utilizes the React framework for real-time communication with the backend. MongoDB is used as the database, supporting dynamic schema modification and complex queries using English. Swizzle also offers AI-powered automated bug fixing and code debugging tools. User authentication supports multiple methods and seamlessly integrates without any setup required. File storage supports public and user-protected levels, allowing for file preview and upload within the dashboard. One-click deployment to both testing and production environments is available. Swizzle is a preferred choice for students, freelancers, and startups.

DeployFast is an ML code template using FastAPI, Streamlit, Docker, ElevenLabs API, and OpenAI API to help users quickly deploy and demonstrate AI applications. It can be easily containerized in the cloud and is suitable for users from AI beginners to busy professionals.

Deploy GPT Extension is a Chrome extension that allows you to deploy GPT to websites, WhatsApp, and Twitter. Powered by OpenAI's assistant and using Botpress for external messaging channel deployment, it offers powerful features with user-friendly operation.

Vairflow is an AI-powered next-generation cloud service IDE. It helps you build faster and build more. It simplifies complex ideas by transforming them into components, each of which can be a backend microservice (such as Flask, FastAPI, etc.), a Web UI (such as React, Next.js, Vue.js, etc.), or a mobile app UI (for Android, iOS). You can seamlessly develop and deploy components, eliminating the hassle of setting up a local environment, and deploy with a single click. Vairflow also provides AI-assisted features like code generation, code completion, code explanation, and real-time preview editing. You can pay based on your actual usage and can seamlessly switch between projects and environments. Vairflow is positioned for flexible deployment, cost-effectiveness, seamless collaboration, and no vendor lock-in.

Keras is a human-centric API designed with best practices in mind. It simplifies the cognitive load by offering a consistent and straightforward API that minimizes user interaction for common use cases. It also provides clear and actionable error messages. Keras aims to give developers who want to launch machine learning-based applications an unfair advantage. Keras prioritizes debugging speed, code elegance and conciseness, maintainability, and deployability. With Keras, your codebase becomes smaller, more readable, and easier to iterate on. Your models run faster with the support of XLA compilation and Autograph optimization, and they are easier to deploy across various platforms (servers, mobile devices, browsers, embedded devices).

Contentable.ai is a comprehensive AI model testing platform that helps users quickly test, prototype, and share AI models. It provides a complete set of tools and features, allowing users to easily build and deploy AI models, thereby improving work efficiency.

Modelfuse is a software and API platform that connects data sources, combines text, image, and audio language models, and configures workflows through a no-code interface. You can easily add pricing based on usage volume for new AI features. Modelfuse can be used with all popular AI models and APIs to accelerate the development and deployment of AI features. You can quickly test and configure the operation of generative AI features, build workflows between different文本、图像和音频语言模型， such as GPT-3.5, GPT-4, Stable Audio, Claude, Stable Diffusion XL, PaLM, or LLaMA. Through our platform, you can connect existing tools, set up data sources, and build AI features on them. The drag-and-drop workflow builder can increase the development speed of AI features by up to 10 times. You can provide AI according to your own pricing strategy and grow with your customers. Using our API, you can quickly deploy AI features and save up to 90% of development costs. Modelfuse also provides a no-code AI workflow builder for automating tasks and generating results without coding. With an intuitive drag-and-drop user interface, you can build, design, prototype, and deploy customized generative AI workflows, providing the next AI feature for your product. You can connect your own data sources, write prompts, and combine outputs from different LLM providers (such as OpenAI, Cohere, or Anthropic). Iterate at any time to improve workflows without further deployment. Modelfuse also offers usage metering and billing features for AI. Our platform allows for easy setup of custom pricing structures to enable the commercialization of AI. Through seamless integration, our AI custom billing system can easily set up complex pricing, and define your internal credit system to charge for the use of AI features. Track and meter usage, collect and aggregate real-time usage data, easily enforce feature limitations and charge customers. Modelfuse also provides security and observability features for LLMs. With our comprehensive dashboard, you can always get an overview of LLM usage. Track API requests, total costs, and token usage. Set up alerts for rate limits, usage limits, allowed models, etc. Connect to external model providers such as OpenAI, Cohere, Anthropic, or Google without distributing API keys. Through fine-grained control and visibility, gain comprehensive control and visibility over AI operations.

Taylor AI is a platform that enables your engineering team to train language models without needing to set up GPUs and decipher complex libraries. It allows you to train and deploy open-source language models on your own terms, giving you complete control and data privacy. With Taylor AI, you can ditch the pay-per-token pricing model and freely deploy and interact with your AI models. It simplifies the training and optimization process, allowing your team to focus on building and iterating. Taylor AI stays up-to-date with the latest open-source models, ensuring you can leverage the most advanced language models for training. Deploy your models securely according to your unique compliance and security standards.

Lightning AI is a platform based on PyTorch that allows users to easily train and deploy AI models between local machines and cloud environments. It supports the construction of various popular AI models such as large language models, Transformers, and Stable Diffusion. Key features include support for distributed multi-GPU training, built-in MLOps capabilities, and serverless cloud deployment. It is suitable for AI research teams, companies aiming to rapidly develop AI products, and institutions that have GPU resources.

OpenCopilot is a tool that makes building your own AI partner intuitive, fast, and reliable. With no prior AI experience required, you can easily embed an AI partner into your product. Whether it's a development tool, SaaS, or an internal tool, every company and product can have its own AI partner. OpenCopilot offers monitoring, evaluation systems, easy-to-deploy out-of-the-box features, and utilizes open-source building blocks. Start your first AI partner today!

PoplarML is a platform that enables the deployment of scalable machine learning systems to production environments with minimal engineering effort. It offers a one-click deployment feature that seamlessly deploys machine learning models to a cluster of GPUs. Users can use REST API endpoints to make real-time calls to the model for inference. PoplarML supports various deep learning frameworks, including TensorFlow, PyTorch, and JAX. In addition, PoplarML offers several advantages, including efficient real-time inference, automatic scaling capabilities to meet traffic demands, and flexible deployment options. For pricing details, please visit the official website.

DataRobot MLOps empowers businesses to maximize the value of artificial intelligence by automating the deployment, optimization, and governance of machine learning applications.

Credal is an AI model deployment and management platform that helps users quickly deploy and manage their AI models. Its features include model deployment, model monitoring, model version management, and more. Credal's advantage lies in simplifying the model deployment process, providing a visualized interface and rich functionalities, making it easier for users to complete the deployment and management of their AI models. Pricing is customized based on user needs. For more details, please visit the official website.

Dora AI is a tool that utilizes natural language to generate, customize, and deploy websites. It boasts a robust no-code editor, allowing you to create feature-rich websites simply by providing concise prompts. Furthermore, Dora AI provides customization and deployment features, enabling you to effortlessly build websites tailored to your specific needs. Whether you're an individual user or a business, Dora AI assists you in quickly establishing professional and efficient websites. Pricing-wise, Dora AI offers diverse package options to suit various user requirements. Explore our official website for more details.