GreenNode’s latest update is now available on AI Platform. In this latest GreenNode release, we have made extra efforts to support more models, enhance security, and automate processes.

GreenMind—an open-source reasoning large language model (LLM) developed by GreenNode—has now become the first Vietnamese LLM integrated into NVIDIA NIM

Before choosing any Model-as-a-Service (MaaS) provider, you’ve got to get brutally clear on what you actually need from the model. Not all workloads are created equal.

With the introduction of Model-as-a-Service, integrated SSO, and access to local VNG Cloud services, this release marks a major step forward in delivering a seamless AI development experience tailored for modern enterprises in Southeast Asia.

This is the story of Poptech - a forward-leaning tech company in Asia - fine-tuning Whisper Large V3 (10B) to make voice AI work for Southeast Asia—using GreenNode as their infrastructure partner.

Artificial intelligence (AI) is becoming pervasive in the enterprise. To support these AI applications, businesses look toward optimizing AI servers and performance networks. Many enterprises prioritize GPU acceleration while overlooking a critical component: Storage infrastructure. According to Gartner, most enterprises will not have to build new storage infrastructure for generative artificial intelligence (GenAI) because they will fine-tune existing large language models (LLMs) instead of training new models. However, large-scale GenAI deployments will still require distinct storage performance and data management capabilities for the data ingestion, training, inference, and archiving stages of the GenAI workflow, rather than relying on traditional cloud storage.

ach NIM package includes pre-tuned models, APIs, and all runtime dependencies—optimized to serve models like DeepSeek, LLaMA, Mistral, and SDXL at blazing-fast token throughput, ready to plug into your app via REST or gRPC. Now with NIM on the GreenNode AI Platform, deploying AI inference is finally what it should’ve been all along: instant, scalable, and painless.

Starting with our own customer’s pain points in Slurm management, we eliminate these challenges with intelligent workload distribution and optimized resource management. Our Managed Slurm Cluster enables multi-GPU, multi-node training, ensuring that every compute cycle is maximized for efficiency.

The GreenNode AI Platform update introduces key enhancements to improve AI model training, inference speed, and deployment efficiency. This release focuses on performance optimization, expanded framework support, enhanced security, and better integration tools, making AI workflows more seamless and cost-effective.