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9 posts tagged with "case-study"

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iFlytek Enhances AI Infrastructure with Volcano, Wins CNCF End-User Case Study Award

· 3 min read
Volcano
Volcano

[HONG KONG, CHINA — June 10, 2025] — The Cloud Native Computing Foundation (CNCF) today announced that iFlytek has won the CNCF End-User Case Study Competition. The CNCF, which is committed to building a sustainable ecosystem for cloud native software, recognized iFlytek for its innovative use of Volcano. The company shared its success in large-scale AI model training at the KubeCon + CloudNativeCon China conference, held in Hong Kong from June 10-11.

ING Bank: How Volcano Empowers Their Big Data Analytics Platform

· 7 min read
Volcano
Volcano

On October 26, 2022, Krzysztof Adamski and Tinco Boekestijn from ING Group delivered a keynote speech "Efficient Scheduling Of High Performance Batch Computing For Analytics Workloads With Volcano" at KubeCon North America. The speech focused on how Volcano, a cloud native batch computing project, supports high-performance scheduling for big data analytics jobs on ING's data management platform. More details: KubeCon + CloudNativeCon North America

HPC on Volcano: How Containers Support HPC Applications in the Meteorological Industry

· 8 min read
Zhe Jin
Senior Engineer in HUAWEI CLOUD

This article was firstly released at Container Cube on October 27th, 2020, refer to HPC on Volcano：容器在气象行业HPC高性能计算场景的应用

Kubernetes has become the de facto standard for cloud native application orchestration and management. An increasing number of applications are being reconstructed or built to employ Kubernetes. High performance computing (HPC) is a popular distributed computing mode and is widely used in many fields. For users who have deployed HPC applications and are eager to containerize and manage their applications using Kubernetes, Volcano, CNCF's first distributed scheduling system for batch computing, is a good choice. Volcano supports multiple types of computing frameworks, such as Spark, TensorFlow, and Message Passing Interface (MPI). This article uses a traditional HPC application, the Weather Research and Forecasting (WRF) model, as an example to describe how Volcano works for HPC applications.

Integrating Volcano into the Leinao Cloud OS

· 5 min read
Jian Zhu
Senior Architect in Leinao OS

This article was firstly released at Container Cube on December 24th, 2020, refer to Volcano在中科类脑云OS中的落地实践

Introduction to the Leinao cloud AI platform​

The Leinao cloud AI platform includes an AI development platform, public service platform, AI visualized operations platform, and an AI community.

  • The AI development platform provides end-to-end technical support and solutions for AI researchers in a diverse range of business scenarios.

  • The public service platform provides news and insight into AI for institutions and for the general public.

  • The AI visualized operations platform helps managers make better informed decisions.

  • The AI community is where AI developers and companies gather, exchange ideas, and improve their skills.