Alternatives and similar repositories for rntop:

Users that are interested in rntop are comparing it to the libraries listed below

• run-ai / docs
  markdown docs
  ☆85Updated this week
• kserve / open-inference-protocol
  Repository for open inference protocol specification
  ☆53Updated 8 months ago
• determined-ai / works-with-determined
  This repository contains example integrations between Determined and other ML products
  ☆48Updated last year
• NVIDIA / mig-parted
  MIG Partition Editor for NVIDIA GPUs
  ☆193Updated this week
• run-ai / runai-model-streamer
  ☆190Updated last week
• run-ai / vscode-genv
  GPU Environment Management for Visual Studio Code
  ☆37Updated last year
• NVIDIA / ais-k8s
  Kubernetes Operator, ansible playbooks, and production scripts for large-scale AIStore deployments on Kubernetes.
  ☆92Updated this week
• mlcommons / mlcube
  MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.
  ☆155Updated 7 months ago
• kserve / modelmesh-serving
  Controller for ModelMesh
  ☆227Updated 2 weeks ago
• kserve / website
  User documentation for KServe.
  ☆105Updated last week
• NVIDIA / cloud-native-stack
  Run cloud native workloads on NVIDIA GPUs
  ☆169Updated this week
• triton-inference-server / model_navigator
  Triton Model Navigator is an inference toolkit designed for optimizing and deploying Deep Learning models with a focus on NVIDIA GPUs.
  ☆199Updated 3 months ago
• run-ai / genv
  GPU environment and cluster management with LLM support
  ☆599Updated 10 months ago
• ray-project / mlflow-ray-serve
  MLFlow Deployment Plugin for Ray Serve
  ☆44Updated 3 years ago
• coreweave / tensorizer
  Module, Model, and Tensor Serialization/Deserialization
  ☆221Updated last month
• kserve / modelmesh
  Distributed Model Serving Framework
  ☆162Updated last month
• clearml / clearml-fractional-gpu
  ClearML Fractional GPU - Run multiple containers on the same GPU with driver level memory limitation ✨ and compute time-slicing
  ☆76Updated 8 months ago
• NVIDIA / nephele
  Tools to deploy GPU clusters in the Cloud
  ☆31Updated 2 years ago
• coreweave / ml-containers
  ☆30Updated 2 weeks ago
• mlflow / mlflow-torchserve
  Plugin for deploying MLflow models to TorchServe
  ☆108Updated 2 years ago
• NVIDIA / KAI-Scheduler
  KAI Scheduler is an open source Kubernetes Native scheduler for AI workloads at large scale
  ☆450Updated this week
• triton-inference-server / fil_backend
  FIL backend for the Triton Inference Server
  ☆77Updated this week
• awslabs / aws-virtual-gpu-device-plugin
  AWS virtual gpu device plugin provides capability to use smaller virtual gpus for your machine learning inference workloads
  ☆204Updated last year
• NVIDIA / gpu-feature-discovery
  GPU plugin to the node feature discovery for Kubernetes
  ☆300Updated 10 months ago
• pytorch / torchx
  TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…
  ☆358Updated last week
• triton-inference-server / pytorch_backend
  The Triton backend for the PyTorch TorchScript models.
  ☆144Updated this week
• NVIDIA / pyxis
  Container plugin for Slurm Workload Manager
  ☆334Updated 5 months ago
• sylabs / wlm-operator
  Singularity implementation of k8s operator for interacting with SLURM.
  ☆117Updated 4 years ago
• DDNStorage / exa-csi-driver
  ☆24Updated 2 weeks ago
• kubeflow-kale / jupyterlab-kubeflow-kale
  JupyterLab extension to provide a Kubeflow specific left area for Notebooks deployment
  ☆18Updated 4 years ago