Top 50 Ai Model Hosting in Asia

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.

This company develops sustainable and affordable AI solutions, making the technology more accessible for broader adoption. They enable clients to build and deploy AI applications while promoting a sustainable AI ecosystem.

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.

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.

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.

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.

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.

Morphware offers an AI deployment framework that optimizes AI models for real-time image processing and edge computing. It simplifies the integration of these AI solutions into blockchain networks, enabling scalable and efficient decentralized AI applications.

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.

Hyperspace provides access to over 1,000 AI models through a single subscription, enabling users to generate images, texts, music, and voices tailored to their specific tasks. This platform addresses the challenge of navigating multiple AI tools by offering a centralized solution that enhances creativity and productivity for artists, students, and professionals alike.

ModAstera provides an integrated AI development platform for healthtech companies, streamlining data preparation, annotation, model training, and deployment. Its hybrid low-code/no-code and full-code interface, coupled with built-in compliance features, accelerates the creation and deployment of secure medical AI applications.

This startup offers a privacy-preserving inference platform that allows AI models to run on encrypted data, ensuring user queries remain confidential. By utilizing fully homomorphic encryption, the platform enables AI providers to deploy models without accessing sensitive user data, protecting privacy from AI providers, cloud infrastructure, and intermediaries.

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.

Superb AI offers an end-to-end training data platform that automates data preparation and curation, enabling rapid and systematic dataset creation for AI model development. This solution addresses the inefficiencies in data handling, allowing organizations to streamline their AI workflows and enhance model deployment speed.

Krutrim provides an AI computing infrastructure and AI-powered applications tailored for the Indian market, enabling businesses to leverage machine learning and data analytics. This platform addresses the need for accessible and scalable AI solutions, enhancing operational efficiency and decision-making capabilities for local enterprises.

DagsHub is a collaborative platform that enables data scientists to manage, annotate, and version unstructured datasets while tracking experiments and model performance. By streamlining data workflows and integrating with existing AI tools, DagsHub enhances data quality and accelerates the development of machine learning models.

hOS develops AI-driven technologies designed to maximize prosperity and minimize suffering by addressing real-world challenges through scalable solutions. The company focuses on creating systems that enhance human decision-making and operational efficiency across various sectors.

Cerebrum Technologies develops AI-driven solutions utilizing machine learning algorithms for natural language processing and computer vision to enhance operational efficiency and customer experiences across various sectors. Their technology unlocks new growth opportunities for businesses in an increasingly digital landscape by optimizing processes and improving decision-making capabilities.

Kluisz.ai provides an AI-powered cloud platform for deploying and managing enterprise workloads across on-premises, edge, and hybrid environments. Its API-first architecture and zero-trust security principles enable seamless application composability and unified management for distributed computing resources.

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.

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.

Mind AI offers a neuro-symbolic AI infrastructure that enables controllable, explainable, and reasoning AI through its proprietary Canonical technology. This hybrid intelligence approach integrates symbolic AI accuracy with neural network scalability, creating transparent and debuggable AI models that mirror human reasoning processes.

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.

The startup develops an AI-based NeuroMosAIc Processor (NMP) that integrates a RISC-V architecture for high-performance computing in semiconductor applications. Its technology enables clients to efficiently evaluate neural network performance metrics such as accuracy, memory bandwidth, and run-time using SDK solutions compatible with TensorFlow, Caffe, PyTorch, and ONNX frameworks.

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.

Bosch AIShield provides a unified security platform for machine learning and generative AI models, employing vulnerability analysis and real-time defense mechanisms to protect against adversarial threats such as model extraction and data poisoning. This solution helps businesses mitigate financial losses and safeguard intellectual property by ensuring compliance and robust protection throughout the AI model lifecycle.

The startup develops AI technology that integrates Microcontroller Units, Central Processing Units, and application processors to enable efficient AI deployment in smart sensors, wearable devices, and robotics. This technology allows clients to transition from costly GPU instances, significantly reducing model size, inference time, and operational costs.

ZETIC.ai provides NPU-powered on-device AI solutions that eliminate the need for cloud servers, significantly reducing operational costs by up to 99%. Their automated pipeline enables rapid transformation of AI models, achieving runtime performance up to 60 times faster than traditional CPU methods within 24 hours.

Nucleus OS streamlines the machine learning lifecycle by providing expert data annotation and a platform for automated model validation and performance benchmarking. We help organizations enhance AI system accuracy and reliability through high-quality labeled datasets and rigorous evaluation.

Vichar.io offers advanced AI models and proprietary technology to enhance data reasoning and uncover complex relationships. The platform accelerates research by enabling users to upload data and documents for AI-driven pattern identification and novel insight generation.

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.

The startup provides a platform for AI governance that automates model testing and compliance monitoring to ensure adherence to regulatory standards. By centralizing risk management and enhancing model explainability, it enables enterprises to deploy AI systems with confidence and accountability.

This company offers an AI cloud platform with low-code/no-code interfaces for building high-performance models. They also provide data science training and consulting services, enabling businesses in Thailand to leverage AI technology.

The startup offers a no-code platform that enables users to create customized AI agents tailored to specific business requirements, utilizing a proprietary hierarchical graph engine for graph visualization and orchestration. This technology allows businesses to develop machine learning models and workflows in days, significantly reducing the time and complexity typically associated with these processes.

The startup provides a platform for creating customized AI-powered web applications that allow users to upload their data and select from a collection of AI tools without requiring any coding skills. This solution enables businesses to engage their audience with personalized services, generate leads, and monetize their applications effectively.

InfuseAI offers the PrimeHub AI platform, which streamlines machine learning workflows by integrating essential MLOps tools into a single environment, enabling teams to develop, train, and deploy AI models significantly faster. This platform addresses the inefficiencies of managing multiple DevOps tools, allowing organizations to enhance productivity and reduce the time required to bring AI solutions online.

Lablup provides enterprise cluster operating software that enables researchers and engineers to access scalable computing resources remotely, facilitating collaboration and deployment across various disciplines. The platform automates the research and development process, addressing the need for standardized computing solutions in an increasingly complex technological landscape.

NextAI provides a no-code platform for enterprises to deploy and integrate Generative AI models quickly, ensuring compatibility with existing frameworks like OpenAI and LangChain. The platform addresses the challenges of complex AI adoption by enabling rapid model deployment and fine-tuning, significantly reducing costs and time while maintaining data security and compliance.

TensorChord offers ModelZ, a serverless infrastructure platform that enables organizations to deploy machine learning models with auto-scaling capabilities and support for popular ML frameworks. This solution addresses the challenges of infrastructure management and scaling, allowing users to focus on developing and refining their AI applications without upfront costs or long-term commitments.

Nota AI develops NetsPresso, a hardware-aware AI optimization platform that streamlines the deployment of AI models across various devices. This technology enables efficient on-device AI solutions, reducing computational costs and enhancing performance for industries such as healthcare, automotive, and transportation.

Moffett AI designs AI chips that accelerate processing in both terminal and cloud environments, enhancing computational efficiency for AI applications. Their technology addresses the demand for faster and more efficient AI processing capabilities in various industries.

Colossal-AI offers a cloud-based platform that accelerates deep learning model training and inference by up to 10 times while reducing development costs by 100 times. This solution enables organizations to efficiently scale AI capabilities from single GPU setups to large distributed clusters, addressing the high computational demands and expenses associated with large model development.

The startup develops an artificial intelligence platform that utilizes patented miniaturization technology to optimize computation and customize large language model (LLM) training. This approach addresses the high costs and accuracy issues organizations face when deploying AI solutions.

Ailiverse develops advanced deep learning algorithms that enhance data processing efficiency for large-scale datasets. The platform addresses the challenge of slow model training times, enabling organizations to achieve faster insights and improved decision-making.

NeuroWatt provides a full-stack AI infrastructure platform that enables users to rent GPU computational power and access AI solutions for model training and deployment. The company supports AI project development through incubation funding and community collaboration, addressing the need for scalable resources in the rapidly growing AI sector.

The startup offers an AI platform that simplifies the development and application of AI technologies, enabling users to easily create and implement AI-driven solutions. By providing hands-on training and resources, the platform addresses the challenge of accessibility and usability in AI, empowering individuals and organizations to leverage AI effectively for their specific needs.

The startup offers a modeling visualization and educational tool that enables users to learn artificial intelligence through an interactive drag-and-drop interface. This platform simplifies complex AI concepts for individuals without prior knowledge, allowing them to implement models while following guided tutorials.

The startup operates a cloud-based supercomputing platform that utilizes machine learning to optimize the configuration and deployment of virtual supercomputers. This technology enables software companies to efficiently design and implement tailored computing environments, enhancing system utilization and performance for both operations managers and end users.

Astria provides a fine-tuning API that enables the creation of personalized AI models for generating unique images and videos based on text prompts. This technology allows users to produce high-quality, customized visual content tailored to specific subjects, styles, or products, addressing the need for distinctive digital media in various applications such as virtual try-ons and social media integration.

The startup develops a platform for generating lightweight code that executes artificial intelligence algorithms, enhancing deep learning and hardware research. This technology enables engineers to increase productivity and efficiency by streamlining the implementation of AI solutions.