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AI workloads

23 articles · Page 1 of 1
Cloud Native Technology Community
Cloud Native Technology Community
Aug 6, 2026 · Cloud Native

5 Production Challenges for Running AI Workloads on Kubernetes: From GPU Scheduling to Observability

Running AI workloads on Kubernetes introduces five production‑grade challenges—complex GPU and accelerator management, workload‑aware scheduling, inference autoscaling beyond CPU metrics, multi‑layer observability, and Day 2 governance—requiring platform teams to extend their capabilities beyond traditional container operations.

AI workloadsCloud NativeDay 2 operations
0 likes · 10 min read
5 Production Challenges for Running AI Workloads on Kubernetes: From GPU Scheduling to Observability
Alibaba Cloud Infrastructure
Alibaba Cloud Infrastructure
Aug 6, 2026 · Cloud Native

How ACK Pro Provisioned Control Plane Eliminates Kubernetes Control‑Plane Bottlenecks for Large‑Scale Clusters

ACK Pro introduces a provisioned control‑plane mode that replaces reactive scaling with preset performance tiers, guaranteeing deterministic capacity for thousands of nodes and tens of thousands of Pods, and a real‑world AI training case shows reduced pod‑startup latency, eliminated HTTP 429 errors, and about 30% faster training cycles.

ACK ProAI workloadsKubernetes
0 likes · 10 min read
How ACK Pro Provisioned Control Plane Eliminates Kubernetes Control‑Plane Bottlenecks for Large‑Scale Clusters
dbaplus Community
dbaplus Community
Jul 26, 2026 · Cloud Native

Will AI Replace Kubernetes? Co‑Founder Brendan Burns on Its Rise and End

Brendan Burns recounts how he convinced Google to back Kubernetes, built the MVP in five days, navigated open‑source governance, tackled technical challenges like Etcd and declarative design, expanded the platform for AI workloads, and reflects on why even successful software like Kubernetes inevitably faces obsolescence.

AI workloadsCloud NativeKubernetes
0 likes · 31 min read
Will AI Replace Kubernetes? Co‑Founder Brendan Burns on Its Rise and End
Architects' Tech Alliance
Architects' Tech Alliance
Jul 23, 2026 · Industry Insights

June 2026 GPU Performance Rankings: Which Cards Lead the Pack?

The article presents a detailed June 2026 GPU performance ranking, dividing graphics cards into five tiers—from flagship 300X‑200X models like RTX 5090 and RX 7900 XTX for 4K/8K gaming and AI workloads, down to legacy integrated GPUs for basic office tasks—while also summarizing the strengths of Apple/Intel, NVIDIA, AMD, and APU solutions.

AI workloadsAMD RadeonGPU
0 likes · 6 min read
June 2026 GPU Performance Rankings: Which Cards Lead the Pack?
AI Architecture Path
AI Architecture Path
Jul 18, 2026 · Artificial Intelligence

Why the Dawn 8000 Secured WAIC’s ‘Treasure of the Museum’ Award

The Dawn 8000 (Dengfeng) AI supercluster, China’s first fully domestic 100‑k‑card system, overcame long‑standing compute bottlenecks by integrating native super‑intelligent fusion, six self‑developed chips, a lossless RDMA network, high‑density liquid‑cooled cabinets, and a unified scheduling platform, achieving full‑load operation in its first week at WAIC.

AI supercomputingAI workloadsRDMA network
0 likes · 14 min read
Why the Dawn 8000 Secured WAIC’s ‘Treasure of the Museum’ Award
Spring Full-Stack Practical Cases
Spring Full-Stack Practical Cases
Jun 29, 2026 · Industry Insights

How China's ParaStor F9000 Became the First Domestic Storage to Top Global IO500 Rankings

China’s Sugon ParaStor F9000 all‑flash distributed storage system has claimed the top spots on both the full‑node and 10‑node IO500 production benchmarks, delivering up to 247% bandwidth gains and powering large‑scale AI, scientific simulation, and autonomous‑driving workloads across a ten‑thousand‑card supercomputing cluster.

AI workloadsAll-flash storageChinese hardware
0 likes · 9 min read
How China's ParaStor F9000 Became the First Domestic Storage to Top Global IO500 Rankings
Past Memory Big Data
Past Memory Big Data
Mar 27, 2026 · Big Data

Why AI Workloads Require Rebuilding Parquet: A Deep Dive into Lance

The article explains how traditional Parquet‑based lakehouse architectures, optimized for large‑scale scans, struggle with AI workloads that need ultra‑low‑latency random access, and how Lance redesigns the storage format, indexing and write path to provide O(1) addressing, native vector support, and seamless integration with native execution engines.

AI workloadsData LakeLance
0 likes · 12 min read
Why AI Workloads Require Rebuilding Parquet: A Deep Dive into Lance
Shuge Unlimited
Shuge Unlimited
Feb 27, 2026 · Databases

Why Is Milvus, the 43K‑Star Vector Database, So Powerful?

This article analyzes Milvus—its open‑source origins, three deployment modes, four‑layer architecture, eight‑plus indexing algorithms, real‑world case studies, and a detailed comparison with competitors—highlighting its strengths, weaknesses, common pitfalls, and when it’s the right choice for large‑scale AI workloads.

AI workloadsCloud NativeIndexing
0 likes · 15 min read
Why Is Milvus, the 43K‑Star Vector Database, So Powerful?
21CTO
21CTO
Feb 2, 2026 · Databases

Is Oracle’s Promise a New Era for MySQL? Community Reactions and Risks

Oracle claims a new era for MySQL by moving commercial‑only features to the community edition and adding AI‑focused vector functions, but developers question whether these promises are timely or sufficient, fearing continued neglect of the open‑source community.

AI workloadsDatabase CommunityMySQL
0 likes · 5 min read
Is Oracle’s Promise a New Era for MySQL? Community Reactions and Risks
HyperAI Super Neural
HyperAI Super Neural
Dec 17, 2025 · Artificial Intelligence

Can cuTile’s Tile Paradigm Disrupt the GPU Programming Landscape and Challenge Triton?

The article analyzes NVIDIA's newly announced cuTile, a tile‑based Python DSL for GPU kernels, examining its technical differences from CUDA's SIMT model, its potential to reshape the GPU programming ecosystem, community reactions, competition with Triton, and the uncertain future that hinges on ecosystem maturity and migration tools.

AI workloadsCUDAGPU programming
0 likes · 12 min read
Can cuTile’s Tile Paradigm Disrupt the GPU Programming Landscape and Challenge Triton?
Full-Stack DevOps & Kubernetes
Full-Stack DevOps & Kubernetes
Oct 30, 2025 · Cloud Native

15 Real-World Kubernetes Use Cases You Need to Know

Explore the 15 most impactful Kubernetes scenarios—from microservices and auto‑scaling to multi‑cloud deployments, AI workloads, edge computing, and compliance—detailing how they boost reliability, efficiency, and cost‑effectiveness, while also highlighting situations where Kubernetes may not be the right choice.

AI workloadsAuto ScalingEdge computing
0 likes · 11 min read
15 Real-World Kubernetes Use Cases You Need to Know
Alibaba Cloud Infrastructure
Alibaba Cloud Infrastructure
Jun 26, 2025 · Cloud Native

How Fluid Enables Cloud‑Native Elastic Data for AI Workloads

Fluid introduces a cloud‑native elastic data abstraction that lets AI workloads efficiently access, manage, and accelerate heterogeneous data sources across serverful and serverless environments, offering unified Dataset, Runtime, and DataOperation concepts, and has been recognized by CNCF’s 2024 Technology Radar.

AI workloadsCNCFCloud Native
0 likes · 9 min read
How Fluid Enables Cloud‑Native Elastic Data for AI Workloads
Architects' Tech Alliance
Architects' Tech Alliance
Jan 18, 2025 · Industry Insights

Why Co‑Packaged Optics Are Redefining Data Center Networks

The article analyzes how Co‑Packaged Optics (CPO) and silicon photonics address exploding data‑center bandwidth demands, reduce power consumption, and enable AI‑driven workloads, while outlining industry roadmaps, major vendor contributions, and future technical challenges.

AI workloadsData Center NetworkingIndustry Trends
0 likes · 14 min read
Why Co‑Packaged Optics Are Redefining Data Center Networks
Alibaba Cloud Infrastructure
Alibaba Cloud Infrastructure
Sep 13, 2024 · Industry Insights

Why Distributed Cloud‑Native Is the Next Enterprise Cloud Choice – Expert Insights

In an interview, Alibaba Cloud’s distributed cloud‑native platform lead explains how distributed cloud‑native addresses elasticity, high‑availability, and multi‑cluster management challenges, outlines the evolution of ACK One, and forecasts its role in AI and edge computing for modern enterprises.

ACK OneAI workloadsEdge computing
0 likes · 11 min read
Why Distributed Cloud‑Native Is the Next Enterprise Cloud Choice – Expert Insights
ByteDance Cloud Native
ByteDance Cloud Native
Aug 12, 2024 · Cloud Native

How mGPU Enables Efficient GPU Sharing for AI Workloads in Cloud‑Native Environments

The article explains the mGPU solution from Volcano Engine, detailing its kernel‑level GPU virtualization, container runtime hooks, and scheduling mechanisms that allow multiple containers to share a single NVIDIA GPU with isolated compute and memory resources, achieving near‑lossless performance and up to 50% higher utilization for AI tasks.

AI workloadsGPU Sharingcontainer runtime
0 likes · 9 min read
How mGPU Enables Efficient GPU Sharing for AI Workloads in Cloud‑Native Environments
Open Source Linux
Open Source Linux
Jul 11, 2024 · Operations

Why Traditional ECMP Fails for AI Workloads and How Modern Load‑Balancing Solves It

The article examines the rapid growth of AI‑driven compute demand, explains why conventional ECMP load balancing struggles with uneven, high‑bandwidth flows in data‑center networks, and compares advanced strategies such as Fat‑Tree design, VoQ, flow‑based, packet‑based, flowlet, and cell‑based approaches, including vendor implementations.

AI workloadsData Center NetworkECMP
0 likes · 13 min read
Why Traditional ECMP Fails for AI Workloads and How Modern Load‑Balancing Solves It
Architects' Tech Alliance
Architects' Tech Alliance
May 7, 2024 · Operations

Why ECMP Struggles in AI‑Driven Data Centers and Better Load‑Balancing Alternatives

As AI workloads push intelligent compute power growth beyond 50% CAGR, data‑center networks face massive parallel paths, making traditional ECMP load‑balancing insufficient and causing severe congestion, while newer granular schemes such as packet‑spraying, flowlet, and cell‑based balancing offer higher bandwidth utilization and fairness.

AI workloadsData Center NetworkingECMP
0 likes · 17 min read
Why ECMP Struggles in AI‑Driven Data Centers and Better Load‑Balancing Alternatives
MaGe Linux Operations
MaGe Linux Operations
Mar 5, 2024 · Cloud Native

How to Run GPU‑Accelerated AI Workloads on Kubernetes

This article explains how Kubernetes supports GPU workloads for AI and machine learning, covering device plugins, pod GPU requests, oversubscription, security isolation, cloud‑provider node setup, and protecting GPU nodes from non‑GPU pods.

AI workloadsCloud NativeDevice Plugin
0 likes · 8 min read
How to Run GPU‑Accelerated AI Workloads on Kubernetes
Baidu Geek Talk
Baidu Geek Talk
Aug 2, 2023 · Cloud Native

Baidu Intelligent Cloud GPU Container Virtualization 2.0: Advancements and Full-Scenario Practices

Baidu Intelligent Cloud’s GPU Container Virtualization 2.0 combines user‑mode and kernel‑mode isolation in a dual‑engine design that unifies scheduling of AI compute, rendering and encoding, supports mixed deployment and multi‑scheduler integration, and boosts GPU utilization across inference, offline tasks, autonomous‑driving simulation, and cloud‑gaming workloads.

AI workloadsContainer OrchestrationGPU virtualization
0 likes · 14 min read
Baidu Intelligent Cloud GPU Container Virtualization 2.0: Advancements and Full-Scenario Practices
Baidu Intelligent Cloud Tech Hub
Baidu Intelligent Cloud Tech Hub
Jun 29, 2023 · Artificial Intelligence

How Baidu’s Dual‑Engine GPU Container Virtualization Boosts AI, Rendering, and Cloud Gaming

This article explains Baidu Intelligent Cloud’s GPU container virtualization 2.0, detailing its dual‑engine architecture, resource pooling, and scheduling innovations that isolate AI, rendering, and codec workloads, and showcases real‑world scenarios such as online inference, autonomous‑driving simulation, and cloud gaming to improve GPU utilization.

AI workloadsGPU virtualizationKubernetes scheduling
0 likes · 14 min read
How Baidu’s Dual‑Engine GPU Container Virtualization Boosts AI, Rendering, and Cloud Gaming