Prompting is often the first step in leveraging a pre-trained model, with techniques like prompt engineering helping maximize its potential. However, these techniques have limitations, and there comes a point where fine-tuning becomes essential to achieve more targeted results.

For those working on AI-driven projects, whether you're building generative models or tackling complex machine learning challenges, GreenNode AI Platform offers more than just infrastructure.

This blog provides a proof of concept (PoC) for building and training Large Language Models (LLMs) using open-source tools

Embedding models serve as a pivotal component in modern Retrieval-Augmented Generation (RAG) systems, bridging the gap between raw data and meaningful insights

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.

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.