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.
☆216Updated 2 weeks ago
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☆199Updated 8 months ago
- Infrastructure as code for GPU accelerated managed Kubernetes clusters.☆57Updated 8 months ago
- An Operator for deployment and maintenance of NVIDIA NIMs and NeMo microservices in a Kubernetes environment.☆140Updated this week
- Repository for open inference protocol specification☆62Updated 8 months ago
- This NVIDIA RAG blueprint serves as a reference solution for a foundational Retrieval Augmented Generation (RAG) pipeline.☆431Updated this week
- Run cloud native workloads on NVIDIA GPUs☆215Updated this week
- GenAI components at micro-service level; GenAI service composer to create mega-service☆193Updated last 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…☆327Updated 6 months ago
- ☆274Updated this week
- ☆181Updated last week
- The NVIDIA NeMo Agent Toolkit UI streamlines interacting with NeMo Agent Toolkit workflows in an easy-to-use web application.☆65Updated this week
- Evaluation, benchmark, and scorecard, targeting for performance on throughput and latency, accuracy on popular evaluation harness, safety…☆38Updated last week
- A high-throughput and memory-efficient inference and serving engine for LLMs☆25Updated 2 months ago
- Provides end-to-end model development pipelines for LLMs and Multimodal models that can be launched on-prem or cloud-native.☆508Updated 8 months ago
- Controller for ModelMesh☆243Updated 7 months ago
- Self-host LLMs with vLLM and BentoML☆163Updated last month
- An NVIDIA AI Workbench example project for Retrieval Augmented Generation (RAG)☆361Updated 5 months ago
- markdown docs☆93Updated last month
- An NVIDIA AI Workbench example project for fine-tuning a Mistral 7B model☆69Updated last year
- Containerization and cloud native suite for OPEA☆74Updated last week
- Evaluate and Enhance Your LLM Deployments for Real-World Inference Needs☆799Updated this week
- Triton CLI is an open source command line interface that enables users to create, deploy, and profile models served by the Triton Inferen…☆73Updated this week
- Distributed Model Serving Framework☆183Updated 3 months ago
- ☆58Updated last week
- ☆111Updated last year
- Hugging Face Deep Learning Containers (DLCs) for Google Cloud☆162Updated last month
- Route LLM requests to the best model for the task at hand.☆161Updated last week
- Helm charts for the KubeRay project☆59Updated last month
- A toolkit for discovering cluster network topology.☆89Updated this week
- Pretrain, finetune and serve LLMs on Intel platforms with Ray☆131Updated 3 months ago