Exploration of Mixing Online Services and Offline Jobs Based on Volcano
探索基于Volcano的在线服务和离线作业混合技术,提高资源利用率。通过资源超卖、任务隔离等方法,在保证服务质量的同时优化集群资源配置。
Run AI Workloads and Microservices on Kubernetes with Volcano
使用Volcano在Kubernetes上高效运行AI工作负载和微服务,提供作业调度、资源管理等功能,支持大数据、人工智能等高性能计算场景,已被50多个用户采用。
How Volcano Enables the Next Wave of Intelligent Applications
Volcano优化AI和大数据应用，提供作业管理、调度策略、异构硬件支持和性能优化，助力智能应用发展，加速GPU/NPU训练效率，优化大规模集群资源利用。
Optimize LLM Workflows with Smart Infrastructure Enhanced by Volcano
Insights on managing large-scale LLM platforms using Kubernetes and Volcano, addressing challenges in training efficiency, fault tolerance, resource optimization, and topology-aware scheduling for GPU workloads.
Cloud Native Batch Scheduling with Volcano - May 15, 2024
Explore cloud native batch scheduling with Volcano in this CNCF Research End User Group session, focusing on advanced techniques and best practices for efficient workload management.
Volcano: Introduction and Deep Dive into High-Performance Workload Management on Kubernetes
Explore Volcano: a powerful batch scheduling system for high-performance workloads on Kubernetes. Learn key concepts, features, and real-world use cases for ML/DL, big data, and bioinformatics applications.
Introduction to Volcano: Cloud Native Batch System
Explore Volcano, a cloud-native batch system for high-performance workloads on Kubernetes. Learn about its architecture, features, use cases, and recent developments in this comprehensive introduction.
Volcano for FinTech Big Data on Kubernetes
Explore how Volcano enhances FinTech BigData operations on Kubernetes, optimizing resource management and workflow efficiency for financial technology applications.
Efficient Scheduling of High Performance Batch Computing for Analytics Workloads with Volcano
Explore how ING uses Volcano scheduler for efficient, multi-tenant large-scale processing in advanced analytics, enabling dynamic allocation and resource fairness for over 300 internal projects.
Using Volcano and Kubernetes for Cutting-Edge AI Deployment
Explore cutting-edge AI deployment using Volcano and Kubernetes, focusing on deep learning frameworks, Ascend chipsets, and efficient job scheduling for advanced machine learning projects.
Efficient Multi-Cluster GPU Workload Management with Karmada and Volcano
Explore efficient multi-cluster GPU workload management using Karmada and Volcano for AI/ML platforms, addressing challenges in resource allocation, scheduling, and operational costs across diverse environments.
Maximizing GPU Utilization Over Multi-Cluster - Challenges and Solutions for Cloud-Native AI Platform
Explore challenges and solutions for maximizing GPU utilization in multi-cluster environments for AI workloads, focusing on intelligent scheduling, failover support, and resource sharing optimization.
Deep Dive - Volcano
Explore Volcano, a batch system for Kubernetes, designed for machine learning, bioinformatics, and big data workloads. Learn its features, benefits, and integration with popular frameworks.
Optimizing Knowledge Distillation Training With Volcano
Explore knowledge distillation optimization using Volcano for efficient model compression, leveraging online GPU clusters and idle resources to enhance training throughput and flexibility.