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SearchSearch thousands of GPU-optimized Containers, pretrained Models, SDKs, and Helm charts—ready to accelerate AI, digital twins, and HPC from cloud to edge.
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Displaying 10 results
NVIDIA
NVIDIA
NeMo Customizer
Model customization for NeMo microservices
Container
NVIDIA
NVIDIA
NeMo Customizer for OpenAI gpt-oss
Model customization for NeMo microservices
Container
NVIDIA
NVIDIA
NeMo Customizer
Model customization service for NeMo microservices
Helm Chart
MeetKai Inc.
MK-SQuIT
SQuIT (Synthesizing Questions using Iterative Template-Filling) is a generated dataset produced with little human intervention. This container provides several tutorial applications - an interactive dataset explorer, a walkthrough of the generation pipeline, and a demonstration using NeMo to fine tune and evaluate a model on the dataset.
Container
NVIDIA
NVIDIA
NeMo Customizer RL Training Container
Model customization for NeMo microservices
Container
NVIDIA
NVIDIA
NeMo Customizer for NeMo Automodel Trainiing
Model customization for NeMo microservices
Container
NVIDIA
NVIDIA
NeMo Unsloth Training
Unsloth-based model training runtime for NeMo Platform
Container
NVIDIA
NVIDIA
NeMo Automodel Training
Model training runtime for NeMo Automodel in NeMo Platform
Container
NVIDIA
NVIDIA
NeMo Automodel Tasks
Job runner for NeMo Automodel workflows in NeMo Platform
Container
NVIDIA
NVIDIA
OpenShift BERT Example
This notebook demonstrates how to optimize a fine-tuned BERT TF checkpoint to TensorRT and then how to deploy it for inference using Triton inference server on OpenShift cluster.
Resource

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