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NVIDIA NeMo Framework is an end-to-end, cloud-native framework to build, customize, and deploy generative AI models anywhere.

NVIDIA NeMo Gym is a library for building reinforcement learning environments for large language models and serving them for rollout collection, reward computation, and training.

NVIDIA NeMo RL is a scalable post-training library for reinforcement learning and supervised fine-tuning of large language models (GRPO, DPO, SFT, distillation and reward modeling), built on Ray, vLLM, PyTorch and Megatron.

NVIDIA NeMo-Skills is a collection of pipelines for synthetic data generation, evaluation, and training data preparation for large language models. This image is a drop-in worker for NVFlow's nemo-skills image.

Neo4J is a graph database that is commonly used in applications that require complex relationships between data. Neo4j supports both a standalone and a cluster deployment of Neo4j on Kubernetes using the Neo4j Helm charts.

Knative Ingress implementation using Envoy

Chainguard image for NetBox, an open source IPAM and DCIM tool used to model and document modern networks.