Model deployment 15

Genera.so: A platform for generative image applications, simplifying model deployment and creation. Genera.so is a platform for generative image applications, designed to help model makers easily turn their models into online applications without the complexities of managing GPUs and building interfaces. It serves as a home for creative generative image applications, allowing users to explore, create, and share images generated by AI, particularly in architectural and interior design.

Remyx AI: ExperimentOps platform for AI development, model building, and production. Remyx AI helps AI developers and teams run better experiments, build reliable models, and ship production AI with ease. It provides an ExperimentOps studio for AI development, allowing users to learn what’s actually working and why. Remyx operationalizes knowledge, closing the loop between experimentation and AI that delivers on business goals. It captures and surfaces insights that make AI experiments repeatable, trustworthy, and ready for production. The platform supports structured, reusable experiments, customizable evaluation criteria, and guided learning loops.

All-in-one platform for AI development, from prototyping to production. Lightning AI is an all-in-one platform for AI development, offering tools to build models and full-stack AI applications quickly. It provides cloud GPUs, DevBoxes, training, deployment, and more with zero setup. From prototype to production AI, Lightning AI supports data platforms, training, GPU clusters, development, and deployment, enabling users to code together, prototype, train, scale, and serve AI models from their browser.

Ardor automates AI agent development, deployment, and scaling on the cloud. Ardor is an all-in-one agentic software development lifecycle (SDLC) automation platform. It helps users build, deploy, and scale AI agents on the cloud, taking them from prompt to product in minutes. It simplifies AI software engineering by automating everything from architecture design to deployment and scaling.

AI platform automating machine learning for various data types without coding. Xanderco is an AI platform that automates machine learning processes. It enables SMBs, educational institutions, and individuals to train, deploy, and use machine learning models without requiring coding expertise. The platform supports numerical, image, and text data, handling everything from preprocessing to deployment and inference APIs.

Browser-based platform for creating, training, and deploying neural networks without coding. NeuroCraft is a platform designed to streamline the creation, training, and deployment of neural networks directly within the browser. It aims to make building AI tools more accessible, even without coding experience. Users can design, train, and deploy neural networks effortlessly using a drag-and-drop interface.

No-code AI vision platform for dataset management, annotation, training, and deployment. Datature is an all-in-one AI vision platform designed to help teams and enterprises build computer vision applications without code. It offers tools for managing datasets, annotating, training, and deploying computer vision models. Datature aims to streamline the entire computer vision pipeline, optimizing workflows and enhancing productivity.

PlexeAI: Build, train, and deploy ML models using natural language, no coding needed. PlexeAI enables you to create, train, and deploy machine learning models using simple English commands - no coding required. Build, deploy, and scale task-specific AI solutions in minutes. It allows users to create powerful ML applications 10x faster.

Flush AI: AI art generation, model deployment, and multimodal workflows. Flush AI allows you to generate AI art in dozens of styles with stable diffusion. You can also deploy these models with our SDK, as well as create multimodal workflows with LLMs. Check out our docs for more info. 526 Innovations Your end-to-end AI art studio, all in the cloud. 526 Innovations 526 Innovations™Building & scaling consumer apps.

Epigos AI: simplifies AI computer vision model creation and deployment for businesses. Epigos AI is a platform that lets businesses create and deploy custom computer vision models without technical skills. It simplifies complex AI processes, enabling businesses to automate tasks, analyze visual data, and enhance operations efficiently. Epigos AI empowers businesses to annotate training data, train powerful computer vision models, and seamlessly deploy them into production.

Platform for simplifying AI model development and deployment by abstracting infrastructure. Grid.ai, now Lightning AI, is a platform designed to democratize state-of-the-art AI research by focusing on machine learning and abstracting away infrastructure concerns. It aims to simplify the process of developing and deploying AI models, allowing researchers and developers to concentrate on the machine learning aspects rather than the underlying infrastructure.

KeaML simplifies AI development with pre-configured environments and optimized resources. KeaML is a platform designed to streamline the AI development journey, empowering users through all stages: develop, train, and deploy. It offers pre-configured environments, optimized resources, and collaborative tools to make AI and ML development as smooth and efficient as possible.

Serverless AI inference provider offering a wide range of HuggingFace models with serverless pricing. Featherless is a serverless AI inference provider that offers access to a continually expanding library of HuggingFace models. It allows users to run any Llama model from HuggingFace without setting up servers, providing unmatched model range and variety with serverless pricing. It supports popular models for role-playing, creative writing, coding assistance, and more.

Semiring simplifies building and deploying custom ML models with minimal data and expertise. Semiring is a platform that enables users to build and deploy custom ML models easily, even without prior ML expertise. It streamlines the process from crafting datasets with as few as 5 data samples to fine-tuning models and deploying them via a simple API.

Open-source AI model community and one-stop model service platform. ModelScope is an open-source AI model community and innovation platform founded in June 2022 by Alibaba's Tongyi Lab and the CCF Open Source Development Committee. It provides one-stop services for model exploration, inference, training, deployment, and application building, while also supporting a rich open-source ecosystem, datasets, studios, and model development tools.