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Accelerate custom generative AI app deployment using pre-built containers with optimized AI models.

Displaying 104 results

Validates NVIDIA GPU Operator components
Container
Docker containers distributed as part of the TAO Toolkit package
Container
Provision NVIDIA GPU Driver as a Container
Container
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.
Container
Plugin for the Kubernetes Node Feature Discovery for adding GPU node labels.
Container
DCGM
NVIDIA
Manage and Monitor GPUs in Cluster Environments.
Container
PyTorch
NVIDIA
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.
Container
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.
Container
TensorRT
NVIDIA
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.
Container
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.
Container
NVIDIA NIM for GPU accelerated Snowflake Arctic Embed Large Embedding inference
Container
NVIDIA NIM for GPU accelerated Gemma-2-2B-IT inference through OpenAI compatible APIs
Container
NVIDIA NIM for GPU accelerated Llama 2 70B inference through OpenAI compatible APIs
Container
NVIDIA NIM for GPU accelerated Llama-3-Swalow-70B-Instruct-v0.1 inference through OpenAI compatible APIs
Container
NVIDIA NIM for GPU accelerated Llama 3.1 Swallow 8B inference through OpenAI compatible APIs
Container
NVIDIA Optimized Deep Learning Framework, powered by Apache MXNet is a deep learning framework that allows you to mix the flavors of symbolic programming and imperative programming to maximize efficiency and productivity.
Container
NVIDIA NIM for GPU accelerated CodeLlama-70B inference through OpenAI compatible APIs
Container
NV-CLIP
NVIDIA
NV-CLIP NIM microservice for multimodal embeddings model for image and text
Container
ACE Agent Model Utils Container
Container
Riva NMT NIM provide easy access to state-of-the-art neural machine translation (NMT) models, capable of translating text from one language to another with exceptional accuracy.
Container
The Llama 3.2 Vision instruction-tuned models are optimized for visual recognition, image reasoning, captioning, and answering general questions about an image.
Container
Manages NVIDIA vGPU devices in a Kubernetes cluster
Container
NVIDIA NIM for GPU accelerated Llama-3-Taiwan-70B-Instruct inference through OpenAI compatible APIs
Container
NVIDIA NIM for GPU accelerated Llama-3.1-Nemotron-70B-Instruct inference through OpenAI compatible APIs
Container
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