Ke Holdings Scales ML Infrastructure with GPU Virtualization using Kubernetes and HAMi
Discover how Ke Holdings built AIStudio based on HAMi and Kubernetes, achieving nearly 3x GPU utilization improvement (13% → 37%) while supporting 10,000+ pods...
Case Studies
See how teams scale AI, HPC, and inference workloads with HAMi and heterogeneous GPU scheduling.
Building Flexible GPU Clouds with HAMi at DaoCloud
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...
SF Technology Partners with HAMi to Enhance AI Efficiency and Significantly Reduce Costs with EffectiveGPU
Discover how SF Technology built EffectiveGPU based on the open-source HAMi framework, deeply integrating heterogeneous computing virtualization and efficient s...
PREP EDU × HAMi | Intelligent Heterogeneous GPU Scheduling for Enhanced AI Service Efficiency
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...
NIO Improves GPU Utilization for Autonomous Driving Workloads with HAMi
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...
SNOW Corp Scales GenAI for 200M Users with HAMi GPU Sharing and KEDA Autoscaling
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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