Top 50 Gpu As A Service in Asia

The startup offers a blockchain-based platform that enables global sharing and utilization of GPU resources. This approach addresses the inefficiency of underutilized computing power, allowing users to access and monetize excess GPU capacity effectively.

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.

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.

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.

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.

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.

ProjectX offers Infinity, a cloud-native operating system delivered entirely through the browser for high-performance computing. This platform enables users to run GPU-accelerated applications like Blender and VS Code instantly without downloads or virtual machines. Infinity abstracts compute resources, providing elastic GPU scaling and persistent environments for AI workflows, design, and development across any device.

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.

The startup develops an AI-driven decentralized computing platform that integrates blockchain technology with edge computing protocols, enabling users to share computing resources and process data efficiently. By utilizing smart contracts and decentralized storage, the platform enhances transaction verification and provides reliable computing power for decentralized applications (dApps).

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.

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.

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.

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.

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.

Bitdeer provides digital asset mining services utilizing high-performance computing to optimize the mining process for cryptocurrencies. The company enables clients to efficiently access and manage mining resources, reducing operational costs and increasing profitability in the competitive blockchain landscape.

The startup offers a decentralized finance platform that enables the creation of tokens representing shares in mining operations, backed by physical income-generating hardware. This approach provides users with a cost-effective and accessible method for participating in decentralized physical infrastructure networks (DePIN) mining.

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.

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.

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.

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.

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.

Ivcloud provides a global interactive video cloud service that delivers ultra-high-definition, low-latency video streaming for applications such as cloud gaming and video conferencing. By shifting intensive visual computing tasks to powerful cloud servers, Ivcloud enables a wide range of devices to access immersive experiences without requiring high-end hardware.

Well-Link provides real-time cloud rendering solutions that enable high-quality, low-latency gaming and digital human experiences across various platforms. Their technology addresses the need for efficient cloud infrastructure, allowing developers to enhance game performance and create immersive metaverse events without the burden of local hardware limitations.

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.

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.

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.

Style3D provides a cloud‑based platform that uses generative AI to turn 2D fashion sketches into fully simulated 3D garments, automatically generating patterns, trim specs, and photorealistic renders. GPU‑accelerated deformable body simulation enables fit assessment without physical samples, while a centralized asset library with version control supports real‑time collaboration, style tracking, and inventory visibility for designers, brands, and manufacturers.

Liansu Technology designs and develops high-performance GPUs for graphics rendering across devices, cloud, and automotive applications. Their focus is on creating domestically-produced GPU chips based on proprietary architecture to serve applications like gaming, digital twins, VR/AR, and professional design.

NextSilicon's Maverick-2 Intelligent Compute Accelerator (ICA) utilizes software-defined hardware to dynamically optimize performance for high-performance computing (HPC) and artificial intelligence (AI) workloads. This technology eliminates the need for extensive code rewrites, significantly reducing development time and enabling faster insights across various applications.

LOCI is an AI‑driven observability platform that analyzes compiled CPU and GPU binaries, using a hardware‑aware large code language model to predict performance and power hotspots before test or inference runs. It automatically rewrites binaries and adjusts runtime configurations, integrating with CI/CD pipelines to provide measurable throughput and energy savings for AI/ML and performance engineering teams.

Cluster Systems designs high-speed interconnection solutions for data centers, utilizing PCIe and CXL switch technology to enhance GPU and CPU connectivity. Their products address the challenges of data transmission in large-scale computing environments, significantly reducing interconnect costs and power consumption.

BitFuFu provides a digital asset and cloud mining service that enables users to leverage blockchain infrastructure for cryptocurrency mining. This platform addresses the high costs and technical barriers associated with setting up and maintaining mining operations, allowing users to participate in cryptocurrency mining more efficiently.

Zafar SoftTech provides AI-powered SaaS platforms and custom AI tools that streamline business operations for SMBs. Their solutions automate tasks like email management, financial operations, and HR processes using technologies like NLP and machine learning. This helps businesses improve productivity, efficiency, and decision-making.

Rebellions develops AI accelerators that utilize HBM3e chiplet architecture and 5nm System-on-Chip technology to enhance energy efficiency and computational performance for deep learning applications. The company addresses the need for scalable and efficient AI inference solutions in the rapidly growing generative AI market.

Provides a SaaS platform utilizing artificial intelligence to optimize resource allocation in cloud computing environments. By analyzing usage patterns and predictive modeling, it addresses issues of cost inefficiency and resource underutilization, enabling users to achieve up to 30% savings on cloud expenditures while improving system performance.

Provides a quantum computing cloud platform powered by proprietary superconducting and semiconductor quantum computers, enabling businesses to access and leverage quantum processing capabilities for complex problem-solving. This platform supports industries in developing quantum applications, improving computational efficiency, and driving innovation across various sectors.

The startup manufactures a chip that utilizes Compute Express Link technology to enable data center operators to efficiently pool and manage artificial intelligence accelerators, processors, and memory. This approach enhances system performance by providing adequate memory resources for diverse device integration, addressing the challenges of scalability and resource allocation in large-scale computing environments.

Vastai Technologies develops high-performance AI chips specifically designed for computer vision and video processing, including the SV100 series for cloud-based inference and the VE series for edge computing. Their technology addresses the need for efficient, low-latency video analysis and processing in applications such as real-time video streaming and industrial automation.

Hammerspace provides an automated data orchestration system that unifies and manages unstructured data across edge locations, data centers, and public cloud environments using a standards-based parallel file system architecture. This technology eliminates data silos, enabling organizations to optimize resource utilization and accelerate access to critical data for AI and high-performance computing applications.

The startup provides AI hardware-software solutions that enhance computational efficiency and performance for data-intensive applications. By integrating specialized AI accelerators with optimized software frameworks, the company addresses the high energy consumption and latency issues faced by traditional computing systems.

EdgeCortix develops the SAKURA-II Edge AI Platform, an energy-efficient AI accelerator that delivers up to 240 TOPS for real-time inferencing in compact, low-power modules. This technology addresses the need for high-performance AI processing at the edge, significantly reducing operational costs across various sectors, including defense, robotics, and smart manufacturing.

Ripple Software provides liquid-cooled computing power infrastructure designed for artificial intelligence-generated content (AIGC) applications. This technology enhances thermal efficiency and performance, addressing the high energy consumption and heat management challenges faced by data centers.

Cloudwalk offers an AIoT platform that integrates edge devices, a collaborative operating system (CWOS), and multimodal foundation models to provide on‑device inference and standardized APIs for vision, speech, and language processing. The solution includes privacy‑computing, data‑governance, and AI‑Agent tools, allowing large enterprises and public agencies in finance, manufacturing, energy, and smart city domains to deploy AI capabilities without extensive custom integration.

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.

Dayu Technology develops specialized data processing unit products designed to enhance computational efficiency in data-intensive applications. Their technology addresses the need for faster data processing and reduced latency in high-performance computing environments.

HyperAccel engineers specialized AI semiconductors, utilizing a novel LPU architecture designed for high-performance and energy-efficient Generative AI workloads. Their product line spans from edge devices to cloud datacenters, offering optimized solutions for LLM inference. The company supports leading AI frameworks through a dedicated software platform, ensuring seamless integration for developers.

Homebrew develops local AI solutions, including the Jan AI Assistant and the Ichigo real-time voice AI, utilizing energy-efficient hardware to enhance performance. The company addresses the need for accessible, efficient AI tools that operate without reliance on cloud infrastructure, ensuring user privacy and reducing latency.

Shenzhen Shifeng develops high-end industrial software, including a proprietary multi-physics simulation platform that integrates fluid dynamics, structural analysis, and thermal modeling. This technology addresses the need for accurate and efficient design validation in industries such as aerospace, automotive, and energy, enabling manufacturers to optimize product performance and reduce development costs.

Qingwei Intelligent Technology designs and manufactures AI chips optimized for high-performance computing tasks in artificial intelligence applications. Their technology addresses the demand for efficient processing power in AI systems, enabling faster data analysis and improved machine learning capabilities.

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.