PD Disaggregation: Maximizing DeepSeek Throughput скачать в хорошем качестве

PD Disaggregation: Maximizing DeepSeek Throughput

How we unlocked +52 % more LLM output per GPU, explained in 10 minutes. Atlas Cloud walks through the exact playbook that pushed our NVIDIA H100 clusters to 51.7 K tokens/sec (prefill) and 22.5 K tokens/sec (decode) on DeepSeek models, beating the reference benchmarks without adding hardware. Key Takeaways Higher throughput, lower cost: Up to 52 % more tokens per GPU lets you scale user traffic or trim infrastructure budget. Faster time-to-value: PD disaggregation cuts latency, improving user experience without code changes. Future-proof stack: Runs on neocloud GPU infrastructure—an agile, hyperscaler alternative designed for safe, simple, scalable AI. 👍 Like this video? Subscribe for more thought-leadership breakdowns on GPU infrastructure, inference best practices, and scaling strategies.