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...
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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...