ClustroAI's vision is to make AI no longer limited to the cloud, but available anytime and anywhere like a smartphone.

As an innovator in edge AI technology, ClustroAI recently announced that it has raised $12 million in Series A funding to enhance its AI deployment capabilities on local and edge devices. Following its completion of NVIDIA's seed round funding, the Series A round was led by Forum Ventures, with participation from well-known institutions such as MetaBlast, Metaverse Group, Bing Ventures, and Sky Ventures, bringing the total funding amount to $15 million. This funding will help ClustroAI further expand its technology and optimize its core platform, enabling businesses to easily run various AI models on local devices or edge servers without relying on remote cloud computing.

Innovating Edge AI with Innovative Deployment

ClustroAI employs a unique containerization technology that allows AI to run efficiently on local devices (such as smartphones, industrial equipment, autonomous driving systems, etc.) without the need to upload data to the cloud for processing. This technology supports AI applications such as large language models (LLM), AIGC, voice translation, and data processing, and achieves rapid inference and efficient training through intelligent scheduling of GPU resources, thereby reducing the response time of AI applications and enhancing data privacy.

At the same time, ClustroAI provides a unified API interface, allowing businesses to quickly integrate AI technology into their products or business processes just like calling cloud services. Compared to traditional cloud-based AI solutions, ClustroAI's edge AI solutions are more secure, flexible, and significantly reduce bandwidth and cloud computing costs, allowing AI to integrate more efficiently into business operations.

ClustroAI's main investor, NVIDIA, a global leader in computing power, has been promoting the expansion of AI computing from data centers to the edge, and ClustroAI's breakthroughs in the protocol architecture and dynamic computing power scheduling for edge AI are a significant driving force behind this trend. ClustroAI not only optimizes the AI computing efficiency of edge devices but also creates a more open and standardized AI computing ecosystem, highly aligned with NVIDIA's technological direction.

"Strategic cooperation with NVIDIA will redefine the rules of the game for edge computing power—ClustroAI's protocol architecture not only achieves dynamic computing power scheduling but also allows every GPU, NPU, and even sensor to become autonomous decision-making nodes through standardized AI Protocol, truly realizing 'computing power on demand' from industrial equipment to smart terminals." — Chris, Co-founder of ClustroAI

Future Directions and Expansion After Funding

With two rounds of capital injection, ClustroAI will further drive technological innovation, focusing on the following three major directions:

1. Simplifying AI Operation and Management Processes

Developing automation tools that allow businesses to quickly upgrade AI models like updating a smartphone app, without complex technical operations. This will make AI easier to maintain and ensure long-term stable operation.

2. Building an AI Computing Network

ClustroAI plans to utilize container orchestration technology to connect AI computing capabilities across different devices, forming an intelligent computing network. This means that AI computing resources on various devices can be flexibly allocated, improving overall operational efficiency and making AI processing on local and edge devices smarter and more reliable.

3. Supporting More Hardware to Accelerate AI Adoption

ClustroAI not only supports GPUs but will also expand to different types of AI computing chips such as FPGAs, TPUs, and NPUs to meet the needs of various scenarios. This compatibility allows AI computing to run not only in scenarios like smartphones, security monitoring, and autonomous driving but also to extend to smart factories and smart cities, achieving more precise and efficient local computing.

ClustroAI's vision is to make AI no longer limited to the cloud, but available anytime and anywhere like a smartphone. The two rounds of funding mark the entry of AI into the "edge computing" era, and ClustroAI will enable AI to run directly on local and edge devices, reducing reliance on cloud computing, making AI faster, safer, and more economical.

About ClustroAI

ClustroAI is committed to advancing edge AI technology, utilizing containerized architecture, GPU acceleration, and edge computing to provide optimized AI protocols and AI frameworks for global customers, suitable for distributed environments, ensuring low-latency processing and scalable deployment, and supporting the development of the next generation of AI applications.

For more information, please visit clustroai.com or contact media@clustroai.com.

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