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Flex AI Engineering Delivery

Technical Deep Dive

Open Source Exploration in Compute Virtualization: How to View Flex:ai and Why Engineering Delivery Matters

As AI inference and training move toward multi-model co-location and fragmented concurrency, compute virtualization is evolving from local optimization to a critical infrastructure capability. Based on public repositories and community-visible information, this article analyzes Flex:ai's current verifiable delivery boundaries from an engineering perspective, and discusses the common engineering gaps as compute virtualization projects move from 'working' to 'dependable infrastructure'.

HAMi Extended ResourceQuota

Technical Deep Dive

Deep Dive: HAMi Extended ResourceQuota | Precise GPU Resource Quota Management Implementation

HAMi v2.7.0 introduces an extended ResourceQuota mechanism to address limitations of native Kubernetes ResourceQuota in GPU and heterogeneous computing scenarios. This article provides an in-depth code analysis of how HAMi solves the two major pain points of resource correlation and dynamic resources, offering precise GPU resource quota management for multi-tenant environments.

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Blog - Dynamia AI | GPU Virtualization & HAMi