runai-professional-services / runapy
Python client for the Run:ai REST API
☆18Updated last week
Alternatives and similar repositories for runapy:
Users that are interested in runapy are comparing it to the libraries listed below
- Dynamic Resource Allocation (DRA) for NVIDIA GPUs in Kubernetes☆348Updated this week
- LeaderWorkerSet: An API for deploying a group of pods as a unit of replication☆411Updated this week
- KAI Scheduler is an open source Kubernetes Native scheduler for AI workloads at large scale☆504Updated this week
- Gateway API Inference Extension☆243Updated this week
- ☆196Updated 3 weeks ago
- MIG Partition Editor for NVIDIA GPUs☆196Updated last week
- JobSet: a k8s native API for distributed ML training and HPC workloads☆219Updated last week
- markdown docs☆86Updated last week
- NVIDIA Data Center GPU Manager (DCGM) is a project for gathering telemetry and measuring the health of NVIDIA GPUs☆494Updated 2 months ago
- Controller for ModelMesh☆229Updated last month
- HAMi-core compiles libvgpu.so, which ensures hard limit on GPU in container☆161Updated last week
- Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)☆474Updated last week
- InstaSlice Operator facilitates slicing of accelerators using stable APIs☆33Updated this week
- Practical GPU Sharing Without Memory Size Constraints☆262Updated 3 weeks ago
- ☆526Updated 10 months ago
- Node feature discovery for Kubernetes☆861Updated this week
- Share GPU between Pods in Kubernetes☆209Updated 2 years ago
- ☆107Updated last month
- Device plugins for Volcano, e.g. GPU☆118Updated last month
- AWS virtual gpu device plugin provides capability to use smaller virtual gpus for your machine learning inference workloads☆204Updated last year
- GPU plugin to the node feature discovery for Kubernetes☆300Updated 10 months ago
- Run cloud native workloads on NVIDIA GPUs☆168Updated last week
- SRIOV network device plugin for Kubernetes☆434Updated last week
- ☆246Updated 2 weeks ago
- elastic-gpu-scheduler is a Kubernetes scheduler extender for GPU resources scheduling.☆140Updated 2 years ago
- Kubernetes (k8s) device plugin to enable registration of AMD GPU to a container cluster☆320Updated this week
- ☸️ Easy, advanced inference platform for large language models on Kubernetes. 🌟 Star to support our work!☆127Updated this week
- GPU Sharing Device Plugin for Kubernetes Cluster☆480Updated 2 years ago
- AI Inference Operator for Kubernetes. The easiest way to serve ML models in production. Supports VLMs, LLMs, embeddings, and speech-to-te…☆893Updated this week
- NVIDIA device plugin for Kubernetes☆48Updated last year