Top 50 Ai Model Hosting in Asia

The startup provides AI infrastructure and services that enable businesses to access and implement machine learning models without requiring extensive technical expertise. By simplifying the deployment of AI technology, the company helps organizations leverage data-driven insights to enhance operational efficiency and decision-making.

This company offers a cloud platform optimized for the entire AI lifecycle, from model development and training to deployment. Their AI supercloud provides scalable computing resources, workflow automation, and performance monitoring to accelerate AI innovation for businesses.

Simplismart provides a high-performance inference engine that enables rapid deployment and fine-tuning of generative AI models on-premises or across various cloud platforms. This technology reduces model deployment time from months to days, significantly lowering operational costs while enhancing inference speed and scalability.

Luchen Technology provides a platform for training and deploying large AI models, significantly reducing training and inference costs by up to 90% while enhancing model capacity and speed. Their solutions enable businesses to efficiently build high-quality AI applications with minimal resources, streamlining the development process across various hardware environments.

MercuryAI provides a unified platform for accessing and orchestrating over 20 leading Large Language Models (LLMs) through a single API and dashboard. Its intelligent model routing optimizes performance and cost, simplifying the integration of advanced AI into business workflows.

VESSL AI offers an end-to-end MLOps platform that enables machine learning teams to build, train, and deploy models efficiently across various infrastructures with a single command. The platform addresses the challenges of resource management and deployment speed by providing serverless deployment, real-time monitoring, and automated CI/CD workflows.

Creative Humans AI provides AwasmCloud, a supercomputing platform that abstracts infrastructure to deliver on‑demand, low‑latency compute for real‑time AI and AGI workloads. The service automates deployment, scaling, and runtime orchestration, allowing engineers and enterprises to focus on model development rather than resource management.

Rutilea provides an AI development platform and GPU cloud services that facilitate the selection, development, and deployment of tailored AI models in a secure environment. The platform enhances operational efficiency by enabling businesses to implement AI solutions that streamline processes and improve decision-making.

The startup operates a cloud-based computing platform that provides AI-driven solutions for researchers and enterprises, focusing on large language model development, programmatic data labeling, and machine learning testing. It offers high-performance computing resources, including access to powerful GPUs and virtual machines, while promoting e-waste reduction through environmentally friendly practices.

Aethirs provides a decentralized cloud infrastructure that delivers on-demand access to enterprise-grade GPUs for AI model training and real-time gaming applications. This solution addresses the need for scalable, low-latency compute resources while ensuring high performance and security across a global network.

Nazar provides a platform for training, deploying, and managing vision AI models, including image segmentation and feature point detection. The platform simplifies the AI pipeline, allowing users to own their data and models while offering optimized inference speeds and model parallelization. Nazar aims to support various data types and neural network architectures in the future.

Rens provides an API‑first model management platform that centralizes version control, containerized deployment, and real‑time monitoring for machine‑learning models. It automates generation of versioned containers, provisions Kubernetes‑native inference services with auto‑scaling and canary rollouts, and streams latency, error and drift metrics to customizable dashboards with alerting. The platform integrates with Kubeflow Pipelines, MLflow, and CI/CD tools while offering role‑based access control and immutable audit logs for governance.

4Paradigm provides an AI enablement platform that delivers industry‑specific large models built from multi‑modal data and a software‑defined compute layer that abstracts hardware for high‑throughput, low‑cost processing. The platform includes AutoML, transfer‑learning tools, and a generative‑AI development suite that automates model creation, code generation, review, and deployment, all delivered via secure, GDPR‑compliant cloud services.

PinGo utilizes AI, decentralized physical infrastructure networks (DePIN), and GPU technology to enable users to monetize idle GPU resources for AI model training. This platform addresses the high costs and accessibility issues associated with computational power, allowing users to contribute to and benefit from a global network of GPU resources.

Modelife AI develops advanced machine learning models tailored for predictive analytics in the life sciences sector. The platform processes complex genomic and clinical datasets to accelerate drug discovery pipelines and optimize therapeutic development. This specialized AI infrastructure provides researchers with actionable insights to improve trial efficiency and patient stratification.

The startup offers a cloud-based platform that optimizes AI infrastructure and workloads through the integration of open-source tools and resource estimation. This platform enhances operational efficiency by improving the deployment process of artificial intelligence applications for businesses.

Maiker Strontium offers AI-powered services that generate and store structured data models for businesses and developers. Their platform simplifies data management by automating model creation and providing secure storage solutions.

This startup provides a platform that simplifies the process of building and deploying deep learning models. By offering tools and resources that abstract away complexities, they enable individuals and organizations with limited expertise to leverage the power of AI.

Provides an AI-driven platform for optimizing deep learning models through techniques like model compression, pruning, and heterogeneous scaling. This enables businesses to reduce GPU computing costs by up to 80%, achieve up to 6x faster inference speeds, and deploy resource-efficient models on edge devices while ensuring data privacy and security.

Gongji Technology is a platform that utilizes distributed computing power and advanced scheduling algorithms to optimize resource allocation for AI applications. It provides flexible, on-demand access to high-performance GPU resources, enabling developers to efficiently manage costs and scale their computing needs without the complexities of server management.

The startup develops a business integration platform that utilizes personalized artificial intelligence algorithms and GPT services to enhance productivity for corporate and individual users. By providing robust data security and seamless AI integrations, the platform improves operational efficiency and user experience.

AppFlowy is an open-source no-code platform that enables users to create and manage wikis, notes, and tasks while maintaining full control over their data through self-hosting options. The platform integrates AI capabilities to enhance productivity by providing contextual insights, automating updates, and facilitating collaboration across devices.

Zhipu AI develops a large model platform that utilizes advanced AI techniques, including a bilingual dialogue model and a code generation model, to enhance natural language processing and programming efficiency. The platform provides API services that enable businesses to automate content creation, coding tasks, and image generation, addressing the need for scalable AI solutions in various applications.

NeuReality designs AI-centric infrastructure that integrates a network addressable processing unit (NAPU) with purpose-built software to streamline AI inference workflows. This solution reduces reliance on traditional CPUs and networking components, addressing the complexity and inefficiencies that hinder AI model deployment and scalability.

Red Bear AI provides an open-source platform for building and deploying production-ready generative AI applications. It offers tools and infrastructure to help developers create and manage large language models for various use cases.

Edge Matrix Computing operates a decentralized AI infrastructure that utilizes a GPU-based distributed computing network to provide scalable computing resources for AI applications. This platform addresses the inefficiencies of centralized computing by enabling developers to deploy and manage AI dApps with reduced latency and improved resource allocation.

Inferless provides a serverless GPU platform that enables rapid deployment of custom machine learning models from various sources, including Hugging Face and Docker, while automatically scaling resources to handle unpredictable workloads. This solution reduces operational costs by up to 90% and eliminates the complexities associated with traditional GPU clusters, allowing businesses to efficiently manage their machine learning inference needs.

Avalanc offers a low-code AI platform designed to streamline deep learning development, enabling users to create and deploy models with minimal coding effort. This tool addresses the complexity and time constraints associated with traditional deep learning workflows, allowing teams to accelerate their projects significantly.

This company provides a Vision AI Engine specifically designed for automated cosmetic defect detection on automotive production lines. The system integrates without requiring line redesign, enabling real-time, sub-millimeter accurate inspection at every manufacturing stage. They also offer an end-to-end AI development platform for building and deploying intelligent industrial applications.

Exabits specializes in refining raw GPU assets from leading manufacturers to support advanced AI infrastructure. The company provides access to high-demand hardware, including GB200s, H100s, H200s, and RTX5090s. This focus ensures that organizations have the necessary compute power for demanding AI workloads and innovation.

Segmind provides a serverless platform that optimizes generative AI algorithms through dedicated API endpoints and a no-code workflow builder, PixelFlow. This technology enables developers to rapidly prototype, customize, and deploy AI models without requiring extensive technical expertise, addressing the need for efficient and scalable AI solutions.

Run:ai is an AI cluster management platform that optimizes GPU resource utilization through dynamic scheduling, GPU fractioning, and workload management. It enables organizations to increase AI workload efficiency by up to 10 times, accelerating development and reducing operational costs.

HUMAIN provides an integrated platform to streamline the end-to-end AI lifecycle, from data preparation and model development to deployment and ongoing performance monitoring. The solution offers automated MLOps capabilities and tools for continuous model retraining, enabling enterprises to efficiently operationalize their AI initiatives.

Socra AI offers a modular AI platform that embeds custom machine‑learning pipelines into existing enterprise applications, automating data ingestion, preprocessing, model training, and real‑time inference through RESTful APIs and event‑driven microservices. The solution includes drag‑and‑drop pipeline building, automated hyper‑parameter optimization, enterprise‑grade security, and both SaaS and on‑premise containerized deployment options for data‑driven firms in finance, manufacturing, logistics, and retail.

HyPy Cloud provides a hosting and deployment platform specifically designed for web applications and JupyterLab environments. It enables developers to efficiently manage resources and streamline workflows, reducing the complexity of application deployment and enhancing collaboration.

Kluisz provides an AI-native cloud infrastructure platform designed for the AI era, aiming to reduce operational overhead and accelerate deployments. The platform autonomously builds, optimizes, and manages infrastructure while enforcing Zero Trust security protocols. It offers unified cloud services engineered to handle complex AI workloads without the typical hyperscaler complexity.

This company offers a decentralized cloud platform with Kubernetes cluster management, storage, and automated DevOps tools. Their services cater to businesses needing solutions for AI/ML acceleration, data privacy, and content distribution within a Web3 environment.

Shansi Kaiwu provides a GPU Cloud platform built on heterogeneous multi-core architecture, specifically designed for high-performance computing (HPC) and artificial intelligence (AI) applications. The company offers scalable infrastructure that supports complex computational tasks, enabling efficient model training, fine-tuning, and inference across various industries.

The startup specializes in on-device AI optimization, enabling efficient machine learning model execution across diverse hardware platforms. This technology reduces latency and energy consumption, enhancing performance for applications in resource-constrained environments.

SIGAI is an artificial intelligence development platform that provides tools for building, training, and deploying machine learning models. The platform addresses the challenge of high development costs and long timelines in AI projects by streamlining the model creation process for developers and businesses.

Intel® Tiber™ AI Studio is a machine learning operating system that enables data scientists to build, deploy, and manage AI applications across hybrid and multi-cloud environments using Kubernetes orchestration. It streamlines the machine learning workflow by unifying code, models, and compute resources, allowing for faster experimentation and improved resource utilization.

Provides a domain registration and web hosting platform that enables users to purchase, manage, and renew domains while offering scalable VPS and email hosting solutions. It simplifies online presence management for individuals and businesses by consolidating essential services into a single, user-friendly interface.

ClearML is an open-source MLOps platform that automates the machine learning lifecycle, enabling developers to build, train, and deploy AI models at scale with minimal code. It addresses the challenges of fragmented workflows and inefficient resource utilization by providing a unified solution for managing AI infrastructure across on-premise, cloud, and hybrid environments.

MakinaRocks offers a machine learning operations (MLOps) platform tailored for industrial applications, enabling organizations to build and deploy customized large language models (LLMs) that enhance operational efficiency. The platform addresses the challenge of integrating AI into complex industrial workflows by providing automated tools for data management, model training, and deployment monitoring.

The startup provides cloud infrastructure services, including cloud hosting, reseller hosting, domain management, and server provisioning, tailored for startups, small businesses, and individual developers. By offering affordable and scalable digital infrastructure, the company addresses the need for accessible online resources in a rapidly growing digital market.

Moreh provides a full-stack AI infrastructure platform that integrates PyTorch with GPU virtualization to facilitate the scaling of large language models and AI applications. The platform addresses the challenge of accessibility and resource allocation in hyperscale AI environments, enabling efficient fine-tuning and deployment across multiple GPUs.

Provides a cloud-agnostic platform, UnifyAI, that streamlines the development and deployment of AI/ML use cases by integrating data pipelines, model training, and monitoring into a single workflow. Reduces time to production by 40% and total cost of ownership by 30%, enabling industries like insurance, banking, and retail to transition from experimentation to scalable, enterprise-grade AI solutions in weeks.

JFrog ML is an MLOps platform that centralizes the management, training, deployment, and monitoring of machine learning models, including LLMs and feature engineering, in a single interface. It addresses the complexity of AI workflows by enabling teams to collaborate efficiently and deploy models at scale with real-time performance tracking.

ZETIC offers a platform that automatically optimizes and deploys AI models for on-device execution across any hardware, framework, or device. Their service streamlines the workflow from model upload through benchmarking to integration with a three‑line code snippet, reducing deployment time from months to hours. By leveraging CPU, GPU, and NPU acceleration, ZETIC enables low‑latency, privacy‑preserving AI without requiring model retraining.

This startup provides a Kubernetes-native storage solution specifically designed for AI workloads, utilizing a new architecture that combines NVMe and object storage to enhance data management and distribution. It addresses the bottleneck in AI performance by offering storage that is eight times faster and 3.5 times cheaper than existing cloud block storage options, without requiring changes to existing infrastructure.