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container scheduling

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Alibaba Cloud Infrastructure
Alibaba Cloud Infrastructure
Apr 30, 2025 · Artificial Intelligence

Exploring and Practicing a Unified Compute Network for AI at Zuoyebang: Building an Innovation Engine for the AI Era

This article summarizes Zuoyebang's infrastructure leader Dong Xiaocong's presentation on the challenges of AI inference demand and supply, and describes the design and implementation of a unified compute network—including trusted networking, multi‑region container scheduling, and traffic routing—to efficiently serve large‑scale AI models.

AICompute NetworkInfrastructure
0 likes · 9 min read
Exploring and Practicing a Unified Compute Network for AI at Zuoyebang: Building an Innovation Engine for the AI Era
ByteDance Cloud Native
ByteDance Cloud Native
Nov 10, 2022 · Cloud Native

Explore ByteDance’s Cloud‑Native Journey: Key Articles and Insights

This collection highlights ByteDance’s evolution in cloud‑native technologies, covering their microservice runtime architecture, large‑scale computing practices, open‑source project creation, and container scheduling advancements, providing links to detailed articles for readers to gain deeper insight.

Microservicescloud-nativecontainer scheduling
0 likes · 1 min read
Explore ByteDance’s Cloud‑Native Journey: Key Articles and Insights
Tencent Architect
Tencent Architect
Aug 31, 2021 · Cloud Native

Boost Server Utilization: TencentOS ‘Ruyi’ Mixed‑Deployment Solution Explained

This article explores how TencentOS Server’s mixed‑deployment product “Ruyi” combines cluster scheduling optimization with per‑node QoS to dramatically increase CPU utilization, cut energy costs, and improve resource isolation in large‑scale data‑center environments.

QoSTencentOScloud-native
0 likes · 10 min read
Boost Server Utilization: TencentOS ‘Ruyi’ Mixed‑Deployment Solution Explained
Architecture Digest
Architecture Digest
Sep 12, 2017 · Cloud Computing

Elastic Computing Platform for Massive Image Compression and Multi‑Workload Services

The article describes how an elastic container‑based computing platform replaces tens of thousands of physical servers to deliver billions of daily image‑compression operations, while also supporting video transcoding, Spark jobs, and AI workloads through resource isolation, named services, dynamic scheduling, and load‑balancing techniques.

Cloud PlatformDynamic ScalingResource Isolation
0 likes · 8 min read
Elastic Computing Platform for Massive Image Compression and Multi‑Workload Services