vLLM

ELDR optimizes MoE model serving in disaggregated environments by routing requests with similar expert activation patterns to the same decode workers. This approach reduces memory bandwidth bottlenecks and significantly improves decoding latency.

ELDR optimizes MoE model serving in disaggregated environments by routing requests with similar expert activation patterns to the same decode workers. This approach reduces memory bandwidth bottlenecks and significantly improves decoding latency.

This report details the rising trend of opportunistic scanning targeting AI-related services and infrastructure. It highlights specific threats to unauthenticated Ollama instances and the use of coordinated sweeps to harvest AI API keys from configuration files.