What is Prefill-Decode Disaggregation and Why Are Modern Inference Stacks Moving to It?
scareme_please · reddit · 2026-08-14
Reddit user scaremeplease asks about prefill-decode disaggregation (PD disaggregation). They understand traditional LLM serving as unified model: prompt hits GPU, GPU runs prefill, then same GPU decodes. Providers are splitting these phases across hardware, and they wonder why and how. Requesting breakdown of PD disaggregation and why custom infra is built around it.
More from Infra
- NVIDIA Raises GPU Prices Again, Now $15K per Card — yacineMTB · 2026-08-14
- llama.cpp Adds Option to Run Tool Commands in Rootless Sandboxed Containers — DevelopmentBorn3978 · 2026-08-14
- What's the Easiest Way to Host Inference for a Fine-Tuned >1T Open-Weight Model? — maksym_andr · 2026-08-14
- CoreWeave's Losses Double, Cash Burn Soars, but Investors Eye $103.7B Backlog — rohanpaul_ai · 2026-08-14
- llama.cpp Memory Inefficiency with Qwen Context? User Reports — nullc · 2026-08-14
- Namecheap Data Center Cooling Failure Causes Outage, Services Gradually Restoring — evilsocket · 2026-08-14