1. Organizations are leveraging generative AI to create new content and solutions, requiring specificity to different domains.
2. Generative AI models are built using high-quality data, trained to match patterns, and can be customized using frameworks like NVIDIA NeMo.
3. The NeMo framework offers modular components for data curation, distributed training, model customization, and deployment, enabling organizations to deploy generative AI models at scale on platforms like GKE with NVIDIA GPUs.
Generative AI has become a powerful tool for organizations looking to create new content based on existing data. This blog post explores how generative AI models can be trained on Google Kubernetes Engine (GKE) using NVIDIA accelerated computing and the NeMo framework. The key to building successful generative AI models lies in high-quality data, which is processed and fed into a model architecture to enable training. The model adjusts its parameters during training to match the patterns and structures of the data.
NVIDIA NeMo is an open-source platform designed for developing custom generative AI models. It offers a complete workflow from data processing to model training and deployment on Google Cloud. NeMo utilizes NVIDIA technology to facilitate distributed training of large-scale models and offers customization options like P-tuning, Supervised Fine Tuning, and Reinforcement Learning from Human Feedback. The framework provides guardrails for safety and security requirements, enabling organizations to innovate and optimize efficiency.
For organizations looking to deploy NeMo on a High-Performance Computing (HPC) system with schedulers like Slurm, the Cloud HPC Toolkit offers a solution. Training at scale using GKE provides access to the compute, memory, and networking resources needed for building and customizing models. GKE’s scalability and compatibility with hardware accelerators like NVIDIA GPUs make it an ideal platform for generative AI development, offering improved performance and cost savings. By leveraging GKE and NeMo, organizations can accelerate their generative AI journey and drive innovation in their applications and solutions.