flâneur — a map of the web's best reading

open-infra-index/202502OpenSourceWeek/day_6_one_more_thing_deepseekV3R1_inference_system_overview.md at main · deepseek-ai/open-infra-index

github.com · 927 words · saved by 1 readers

Production-tested AI infrastructure tools for efficient AGI development and community-driven innovation - deepseek-ai/open-infra-index

Day 6: One More Thing, DeepSeek-V3/R1 Inference System Overview System Design Principles The optimization objectives of serving DeepSeek-V3/R1 inference are: higher throughput and lower latency. To optimize these two objectives, our solution employs cross-node Expert Parallelism (EP). First, EP significantly scales the batch size, enhancing GPU matrix computation efficiency and boosting throughput. Second, EP distributes experts across GPUs, with each GPU processing only a small subset of experts (reducing memory access demands), thereby lowering latency. However, EP increases system complexit

Explore this link on the map →

related reading