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Parallel Track Transformers: Enabling Fast GPU Inference with Reduced Synchronization
Efficient large-scale inference of transformer-based large language models (LLMs) remains a fundamental systems challenge, frequently requiring multi-GPU parallelism to meet stringent latency and throughput targets.
Parallel Track Transformers: Enabling Fast GPU Inference with Reduced Synchronization
TLDR
Efficient large-scale inference of transformer-based large language models (LLMs) remains a fundamental systems challenge, frequently requiring multi-GPU parallelism to meet stringent latency and throughput targets.