For reinforcement learning training pipelines where AI-generated code is evaluated in sandboxes across potentially untrusted workers, the threat model is both the code and the worker. You need isolation in both directions, which pushes toward microVMs or gVisor with defense-in-depth layering.
The challenge was clear: achieve a quantum leap in speed while preserving extreme flexibility, minimal storage, regional map support, and dynamic update capabilities. Standard Highway Hierarchies were a starting point, but we needed something more – a uniquely OsmAnd solution.，更多细节参见51吃瓜
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