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FlexLLM is a system that co-serves LLM inference and PEFT-based finetuning on shared GPUs at the token level. It uses static compilation optimizations and a hybrid token scheduler to reduce memory requirements by up to 80% while maintaining strict latency SLOs and improving finetuning throughput by up to 6.8×.
AI named FlexLLM in December 2025.