In this article, GreenNode will share our experience with multinode setups—specifically using NVIDIA’s H100 GPUs and InfiniBand technology—to address specific use cases for our clients.

Building an LLM from scratch is not just about coding and data—it’s about navigating uncharted waters with limited resources and an unforgiving clock ticking in the background.

Whether you're a startup dreaming big or a tech-savvy business scaling up, understanding these costs to train an LLM can help you make smart decisions.

GreenNode's AI Platform is designed to simplify your AI development journey. Our platform provides powerful tools and resources to help you manage and analyze large amounts of data efficiently.

In June 2024, GreenNode became the first unit in SEA to successfully launch the GPU cluster specializing in HPC applications, AI training, and integration.

Then what is SLURM for AI and how this high-scalable workload manager works on Linux clusters? In this blog, we’ll guide you through SLURM concept and how to set up a SLURM cluster tailored for AI projects.

In May 2024, GreenNode established itself as a NVIDIA Preferred Partner in providing, deploying, and leveraging the power of NVIDIA H100 Tensor Core GPUs in the Asian market. With thousands of GPUs installed across data centers in the region, this partnership lays a solid foundation for the advancement of AI in APAC.

GreenNode's RAG achieves breakthrough performance thanks to its advanced document retrieval system, which helps leverage vast amounts of information. Explore the importance of the document retrieval system in enhancing the efficiency of RAG in LLM model.

Enter GreenNode, a cutting-edge platform leading the AI revolution with the integration of Large Language Models (LLMs) and advanced RAG techniques to deliver faster, more accurate, and context-aware intelligence for modern AI applications.