Monitor GPUs in Kubernetes using NVIDIA DCGM. This is an exporter for a Prometheus monitoring solution in Kubernetes.

dcgm-exporter

The NVIDIA Kubernetes Device Plugin registers GPUs as compute resources in the Kubernetes cluster.

k8s-device-plugin

gpu-operator-validator

Docker containers distributed as part of the TAO Toolkit package

tao-toolkit

Build and Run GPU Accelerated Docker Containers.

container-toolkit

Plugin for the Kubernetes Node Feature Discovery for adding GPU node labels.

gpu-feature-discovery

Provision NVIDIA GPU Driver as a Container

driver

Triton Inference Server is an open source software that lets teams deploy trained AI models from any framework, from local or cloud storage and on any GPU- or CPU-based infrastructure in the cloud, data center, or embedded devices.

tritonserver

Manages NVIDIA Driver upgrades in Kubernetes cluster.

k8s-driver-manager

cuda

Manage and Monitor GPUs in Cluster Environments.

dcgm

Deploy and Manage NVIDIA GPU resources in Kubernetes.

gpu-operator

PyTorch is a GPU accelerated tensor computational framework. Functionality can be extended with common Python libraries such as NumPy and SciPy. Automatic differentiation is done with a tape-based system at the functional and neural network layer levels.

pytorch

TensorFlow is an open source platform for machine learning. It provides comprehensive tools and libraries in a flexible architecture allowing easy deployment across a variety of platforms and devices.

tensorflow

Manage MIG partitions in Kubernetes with a simple label change to a node.

k8s-mig-manager

Llama 3.1 70B-Instruct NIM Production Branch October 2024 (PB 24h2) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities.

llama-3.1-70b-instruct-pb24h2

NVIDIA TensorRT is a C++ library that facilitates high-performance inference on NVIDIA graphics processing units (GPUs). TensorRT takes a trained network and produces a highly optimized runtime engine that performs inference for that network.

tensorrt

NVIDIA NIM for GPU accelerated Snowflake Arctic Embed Large Embedding inference

arctic-embed-l

The NVIDIA Retrieval QA Llama 1B Reranking NIM is a NIM optimized for providing a logit score that represents how relevant a document(s) is to a given query, fine-tuned for multilingual and cross-lingual text question-answering retrieval.

llama-3.2-nv-rerankqa-1b-v2

NVIDIA NIM for GPU accelerated Gemma-2-2B-IT inference through OpenAI compatible APIs

gemma-2-2b-instruct

NVIDIA NIM for GPU accelerated Llama-3-Swalow-70B-Instruct-v0.1 inference through OpenAI compatible APIs

llama-3-swallow-70b-instruct-v0.1

NVIDIA NIM for GPU accelerated Llama 2 70B inference through OpenAI compatible APIs

llama-2-70b-chat

NVIDIA NIM for GPU accelerated Llama 3.1 Swallow 8B inference through OpenAI compatible APIs

llama-3.1-swallow-8b-instruct-v0.1

NVIDIA NIM for GPU accelerated Mistral-NeMo-12B-Instruct inference through OpenAI compatible APIs

mistral-nemo-12b-instruct

Hive’s Deepfake Image Detection model analyzes images and returns a confidence score on how likely the image contains a deepfake.

deepfake-image-detection

Python Basic - AI Workbench Default Container