Best AI Infrastructure Platforms in China
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Compare the Top AI Infrastructure Platforms in China as of January 2026
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What are AI Infrastructure Platforms in China?
An AI infrastructure platform is a system that provides infrastructure, compute, tools, and components for the development, training, testing, deployment, and maintenance of artificial intelligence models and applications. It usually features automated model building pipelines, support for large data sets, integration with popular software development environments, tools for distributed training stacks, and the ability to access cloud APIs. By leveraging such an infrastructure platform, developers can easily create end-to-end solutions where data can be collected efficiently and models can be quickly trained in parallel on distributed hardware. The use of such platforms enables a fast development cycle that helps companies get their products to market quickly. Compare and read user reviews of the best AI Infrastructure platforms in China currently available using the table below. This list is updated regularly.
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1
Vercel
Vercel
Vercel is an AI-powered cloud platform that helps developers build, deploy, and scale high-performance web experiences with speed and security. It provides a unified set of tools, templates, and infrastructure designed to streamline development workflows from idea to global deployment. With support for modern frameworks like Next.js, Svelte, Vite, and Nuxt, teams can ship fast, responsive applications without managing complex backend operations. Vercel’s AI Cloud includes an AI Gateway, SDKs, workflow automation tools, and fluid compute, enabling developers to integrate large language models and advanced AI features effortlessly. The platform emphasizes instant global distribution, enabling deployments to become available worldwide immediately after a git push. Backed by strong security and performance optimizations, Vercel helps companies deliver personalized, reliable digital experiences at massive scale. -
2
Salad
Salad Technologies
Salad allows gamers to mine crypto in their downtime. Turn your GPU power into credits that you can spend on things you love. Our Store features subscriptions, games, gift cards, and more. Download our free mining app and run while you're AFK to earn Salad Balance. Support a democratized web through providing decentralized infrastructure for distributing compute power. o cut down on the buzzwords—your PC does a lot more than just make you money. At Salad, our chefs will help support not only blockchain, but other distributed projects and workloads like machine learning and data processing. Take surveys, answer quizzes, and test apps through AdGate, AdGem, and OfferToro. Once you have enough balance, you can redeem items from the Salad Storefront. Your Salad Balance can be used to buy items like Discord Nitro, Prepaid VISA Cards, Amazon Credit, or Game Codes. -
3
k0rdent
Mirantis
k0rdent is an open-source, Kubernetes-native Distributed Container Management Environment developed by Mirantis to help teams build and operate developer platforms at scale. It uses Kubernetes as a universal control plane across multi-cloud, edge, and on-prem environments. k0rdent simplifies complex infrastructure by automating cluster lifecycle management, policy enforcement, and configuration consistency. The platform enables platform engineering teams to design repeatable, workload-specific developer platforms using declarative templates and composable components. It reduces operational toil by supporting self-service environments and GitOps-driven workflows. With centralized visibility, teams can optimize performance, costs, and compliance from a single control point. k0rdent is built to support modern workloads, including AI and ML, without vendor lock-in. -
4
Amazon SageMaker Debugger
Amazon
Optimize ML models by capturing training metrics in real-time and sending alerts when anomalies are detected. Automatically stop training processes when the desired accuracy is achieved to reduce the time and cost of training ML models. Automatically profile and monitor system resource utilization and send alerts when resource bottlenecks are identified to continuously improve resource utilization. Amazon SageMaker Debugger can reduce troubleshooting during training from days to minutes by automatically detecting and alerting you to remediate common training errors such as gradient values becoming too large or too small. Alerts can be viewed in Amazon SageMaker Studio or configured through Amazon CloudWatch. Additionally, the SageMaker Debugger SDK enables you to automatically detect new classes of model-specific errors such as data sampling, hyperparameter values, and out-of-bound values. -
5
AWS Deep Learning Containers
Amazon
Deep Learning Containers are Docker images that are preinstalled and tested with the latest versions of popular deep learning frameworks. Deep Learning Containers lets you deploy custom ML environments quickly without building and optimizing your environments from scratch. Deploy deep learning environments in minutes using prepackaged and fully tested Docker images. Build custom ML workflows for training, validation, and deployment through integration with Amazon SageMaker, Amazon EKS, and Amazon ECS.
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