The developer behind ShardFlow, a distributed LLM inference framework that splits HuggingFace transformers across N GPU machines, benchmarked Qwen2.5-7B on two T4 nodes in separate GCP regions (Iowa + Oregon) connected via an AWS EC2 TCP relay in Ohio (~86ms RTT). With neural speculative decoding and CUDA Graphs, peak throughput hit 28.10 TPS, average 20.31 TPS, versus 4.92 TPS non-speculative.
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