Case Studies

See how teams scale AI, HPC, and inference workloads with HAMi and heterogeneous GPU scheduling.

Sangfor Logo

Sangfor: Enterprise AI Compute Platform

Sangfor, a leading enterprise cloud computing and cybersecurity vendor in China, runs AI coding, digital employees, intelligent customer service, and sales Agen...

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CETC Cloud: Portable Knowledge Base GPU Foundation

CETC Cloud (Beijing) Technology runs text generation, embedding, and rerank production models alongside Kubernetes dev environments on a single 8-GPU portable d...

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Ke Holdings: ML Infrastructure GPU Virtualization

Discover how Ke Holdings built AIStudio based on HAMi and Kubernetes, achieving nearly 3x GPU utilization improvement (13% → 37%) while supporting 10,000+ pods...

DaoCloud Logo

DaoCloud: Flexible GPU Cloud with 80%+ Utilization

Discover how DaoCloud operates two major cloud native platforms for AI workloads—D.run Compute Cloud and DaoCloud Enterprise—using HAMi to achieve >80% GPU util...

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SF Technology: Higher AI Efficiency, Lower Cost

Discover how SF Technology built EffectiveGPU based on the open-source HAMi framework, deeply integrating heterogeneous computing virtualization and efficient s...

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PREP EDU × HAMi: Intelligent GPU Scheduling

PREP EDU deployed the HAMi framework to add fine-grained vGPU sharing and GPU aware scheduling to its production Kubernetes (RKE2) clusters. This addressed conc...

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NIO: Better GPU Utilization for Autonomous Driving

Discover how NIO adopted a hybrid GPU sharing strategy using HAMi to achieve 10× GPU utilization improvement in CI pipelines and 30% reduction in GPU hours for...

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SNOW Corp: GenAI for 200M Users

Discover how SNOW Corp orchestrates 1,000+ GPUs to handle 700% viral traffic spikes, achieving 91% MTTR reduction, 85% fewer surge errors, and USD 17.4M in esti...

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China Merchants Bank: AI Compute Scheduling

Discover how China Merchants Bank built a unified AI compute scheduling platform on Kubernetes and HAMi, pooling multi-vendor accelerators (Kunlunxin, Ascend, N...

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