In a strategic transfer to deal with the rising calls for for superior AI infrastructure, GMI Cloud, a Silicon Valley-based GPU cloud supplier, has raised $82 million in Sequence A funding. Led by Headline Asia and supported by notable companions like Banpu Subsequent and Wistron Company, this spherical brings GMI’s complete capital to over $93 million. The funds will allow GMI Cloud to open a brand new knowledge heart in Colorado, enhancing its capability to serve North America and solidifying its place as a number one AI-native cloud supplier.
Based to democratize entry to superior AI infrastructure, GMI Cloud’s mission is to simplify AI deployment worldwide. The corporate gives a vertically built-in platform combining top-tier {hardware} with sturdy software program options, making certain companies can construct, deploy, and scale AI with effectivity and ease.
A Excessive-Efficiency, AI-Prepared Cloud Platform
GMI Cloud’s platform gives a whole ecosystem for AI tasks, integrating superior GPU infrastructure, a proprietary useful resource orchestration system, and instruments to handle and deploy fashions. This complete answer eliminates many conventional infrastructure challenges:
- GPU Cases: With fast entry to NVIDIA GPUs, GMI permits customers to deploy GPU sources immediately. Choices embody on-demand or non-public cloud cases, accommodating every little thing from small tasks to enterprise-level ML workloads.
- Cluster Engine: Powered by Kubernetes, this proprietary software program allows seamless administration and optimization of GPU sources. It gives multi-cluster capabilities for versatile scaling, making certain tasks can regulate to evolving AI calls for.
- Utility Platform: Designed for AI growth, the platform gives a customizable setting that integrates with APIs, SDKs, and Jupyter notebooks, providing high-performance help for mannequin coaching, inference, and customization.
Increasing International Attain with a Colorado Information Middle
GMI Cloud’s Colorado knowledge heart represents a essential step in its enlargement, offering low-latency, high-availability infrastructure to fulfill the rising calls for of North American shoppers. This new hub enhances GMI’s present international knowledge facilities, which have established a robust presence in Taiwan and different key areas, permitting for fast deployment throughout markets.
Powering AI with NVIDIA Expertise
GMI Cloud, a member of the NVIDIA Accomplice Community, integrates NVIDIA’s cutting-edge GPUs, together with the NVIDIA H100. This collaboration ensures shoppers have entry to highly effective computing capabilities tailor-made to deal with complicated AI and ML workloads, maximizing efficiency, and safety for high-demand purposes.
The NVIDIA H100 Tensor Core GPU, constructed on the NVIDIA Hopper structure, gives top-tier efficiency, scalability, and safety for various workloads. It’s optimized for AI purposes, accelerating giant language fashions (LLMs) by as much as 30 instances. Moreover, the H100 encompasses a devoted Transformer Engine, particularly designed to deal with trillion-parameter fashions, making it very best for conversational AI and different intensive machine studying duties.
Constructing for an AGI Future
With a watch on the longer term, GMI Cloud is establishing itself as a foundational platform for Synthetic Common Intelligence (AGI). By offering early entry to superior GPUs and seamless orchestration instruments, GMI Cloud empowers companies of all sizes to deploy scalable AI options shortly. This concentrate on accessibility and innovation is central to GMI’s mission of supporting a quickly evolving AI panorama, making certain that companies worldwide can undertake and scale AI know-how effectively.
Backed by a staff with deep experience in AI, machine studying, and cloud infrastructure, GMI Cloud is creating an accessible pathway for corporations trying to leverage AI for transformative development. With its sturdy infrastructure, strategic partnerships, and dedication to driving AI innovation, GMI Cloud is well-positioned to form the way forward for AI infrastructure on a world scale.
