heyfey / vodaschedulerLinks
GPU scheduler for elastic/distributed deep learning workloads in Kubernetes cluster (IC2E'23)
☆34Updated 2 years ago
Alternatives and similar repositories for vodascheduler
Users that are interested in vodascheduler are comparing it to the libraries listed below
Sorting:
- Automatic tuning for ML model deployment on Kubernetes☆81Updated last year
- GPU-scheduler-for-deep-learning☆210Updated 5 years ago
- SCV is a distributed cluster GPU sniffer. SCV是一个分布式GPU嗅探器☆20Updated 2 years ago
- An efficient GPU resource sharing system with fine-grained control for Linux platforms.☆87Updated last year
- Share GPU between Pods in Kubernetes☆214Updated 2 years ago
- An Efficient Dynamic Resource Scheduler for Deep Learning Clusters☆41Updated 8 years ago
- GPU topology-aware scheduler☆13Updated 8 years ago
- FaaSNet: Scalable and Fast Provisioning of Custom Serverless Container Runtimes at Alibaba Cloud Function Compute (USENIX ATC'21)☆55Updated 4 years ago
- A simulator of Kuberntes for batch and service workload.☆50Updated 4 years ago
- Paper Reading:涉及分布式、虚拟化、网络、机器学习☆23Updated 5 years ago
- NVIDIA device plugin for Kubernetes☆15Updated 6 years ago
- A tool to detect infrastructure issues on cloud native AI systems☆52Updated 2 months ago
- A kubernetes plugin which enables dynamically add or remove GPU resources for a running Pod☆127Updated 3 years ago
- Kubernetes Scheduler for Deep Learning☆261Updated 3 years ago
- Tiresias is a GPU cluster manager for distributed deep learning training.☆164Updated 5 years ago
- Offline optimization of your disaggregated Dynamo graph☆121Updated this week
- 🧯 Kubernetes coverage for fault awareness and recovery, works for any LLMOps, MLOps, AI workloads.☆33Updated last week
- Go Abstraction for Allocating NVIDIA GPUs with Custom Policies☆119Updated 2 weeks ago
- A workload for deploying LLM inference services on Kubernetes☆123Updated last week
- Cloud Native Benchmarking of Foundation Models☆44Updated 4 months ago
- Artifacts for our NSDI'23 paper TGS☆91Updated last year
- Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020☆134Updated last year
- The schedule of the seminar☆25Updated 3 years ago
- Hooked CUDA-related dynamic libraries by using automated code generation tools.☆172Updated 2 years ago
- elastic-gpu-scheduler is a Kubernetes scheduler extender for GPU resources scheduling.☆144Updated 3 years ago
- Kubernetes Scheduler Simulator☆120Updated last year
- knavigator is a development, testing, and optimization toolkit for AI/ML scheduling systems at scale on Kubernetes.☆72Updated 4 months ago
- Forked form☆10Updated 4 years ago
- Lightweight daemon for monitoring CUDA runtime API calls with eBPF uprobes☆142Updated 8 months ago
- ☆198Updated 6 years ago