NVIDIA / nim-deployLinks
A collection of YAML files, Helm Charts, Operator code, and guides to act as an example reference implementation for NVIDIA NIM deployment.
☆190Updated this week
Alternatives and similar repositories for nim-deploy
Users that are interested in nim-deploy are comparing it to the libraries listed below
Sorting:
- Accelerate your Gen AI with NVIDIA NIM and NVIDIA AI Workbench☆180Updated 3 months ago
- An Operator for deployment and maintenance of NVIDIA NIMs and NeMo microservices in a Kubernetes environment.☆124Updated this week
- Infrastructure as code for GPU accelerated managed Kubernetes clusters.☆54Updated 3 months ago
- Run cloud native workloads on NVIDIA GPUs☆191Updated 3 weeks ago
- ☆238Updated this week
- AI on GKE is a collection of examples, best-practices, and prebuilt solutions to help build, deploy, and scale AI Platforms on Google Kub…☆323Updated 2 months ago
- GenAI components at micro-service level; GenAI service composer to create mega-service☆168Updated this week
- This NVIDIA RAG blueprint serves as a reference solution for a foundational Retrieval Augmented Generation (RAG) pipeline.☆229Updated 2 weeks ago
- Repository for open inference protocol specification☆59Updated 3 months ago
- ☆162Updated this week
- Self-host LLMs with vLLM and BentoML☆140Updated this week
- Containerization and cloud native suite for OPEA☆70Updated last week
- Evaluate and Enhance Your LLM Deployments for Real-World Inference Needs☆501Updated this week
- Helm charts for the KubeRay project☆50Updated last month
- Recipes for reproducing training and serving benchmarks for large machine learning models using GPUs on Google Cloud.☆78Updated 2 weeks ago
- ☆47Updated 3 weeks ago
- AI Inference Operator for Kubernetes. The easiest way to serve ML models in production. Supports VLMs, LLMs, embeddings, and speech-to-te…☆1,045Updated this week
- An NVIDIA AI Workbench example project for fine-tuning a Mistral 7B model☆60Updated last year
- Provides end-to-end model development pipelines for LLMs and Multimodal models that can be launched on-prem or cloud-native.☆507Updated 4 months ago
- KAI Scheduler is an open source Kubernetes Native scheduler for AI workloads at large scale☆775Updated this week
- JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs wel…☆371Updated 2 months ago
- Tutorial for building LLM router☆224Updated last year
- Kubernetes Operator, ansible playbooks, and production scripts for large-scale AIStore deployments on Kubernetes.☆107Updated 2 weeks ago
- Generative AI Examples is a collection of GenAI examples such as ChatQnA, Copilot, which illustrate the pipeline capabilities of the Open…☆669Updated this week
- markdown docs☆90Updated last week
- Controller for ModelMesh☆239Updated 2 months ago
- ☆291Updated 3 weeks ago
- This repo contains documents of the OPEA project☆44Updated this week
- This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.☆427Updated last year
- ☆28Updated last week