Einblicke, Tutorials und Neuigkeiten von unserem Team
NIO adopted a hybrid GPU sharing strategy combining HAMi, NVIDIA MIG, and time-slicing to significantly improve GPU utilization across CI, simulation, and inference workloads — achieving 4× utilization gains and 30% reduction in GPU hours.
KubeCon EU 2026 has concluded, and one signal was unmistakable: cloud native is rapidly evolving from an application platform into the foundational layer for AI infrastructure. As the initiator and core driver of the HAMi project, Dynamia made a landmark appearance — from Maintainer Summit and Lightning Talks to the KubeCon main stage Keynote Demo.
At KCD Beijing 2026, HAMi core contributors presented the GPU scheduling paradigm shift from Device Plugin to DRA. This post reviews the key insights — DRA's capabilities and challenges, HAMi-DRA's automated Webhook approach to lowering migration barriers, and real-world performance and observability results.
This weekend, the Dynamia team heads to Amsterdam for KubeCon + CloudNativeCon Europe 2026. As the initiator and leading contributor of the CNCF Sandbox project HAMi, Dynamia will participate in multiple core activities representing the HAMi community.
A systematic upgrade to HAMi's website and docs, improving community visibility, content structure, search, and usability.
Ke Holdings Inc. achieves nearly 3x improvement in GPU utilization (13% → 37%) by implementing AIStudio, a smart computing platform built on Kubernetes and HAMi for GPU virtualization across multi-cloud environments.
Dynamia and OpenCSG announce a strategic partnership to build a compute-native foundation for enterprise AI workloads. By natively integrating HAMi's heterogeneous GPU virtualization and scheduling capabilities into CSGHub, both parties will advance model platforms from "model hosting" to "compute-native."
A look back at how HAMi evolved from a single GPU virtualization solution into a unified platform supporting 11+ AI accelerator vendors.
HAMi v2.8 deep dive: Kubernetes DRA support, Leader Election mechanism, CDI mode support, upstream ecosystem integration (Kueue, vLLM), critical bug fixes, and stability improvements.
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