Unverified50% confidenceFactExact time
The decode stage generates output tokens one by one and is autoregressive, processing only one token per step, and is often limited by memory bandwidth and KV cache access.
1
Sources
50%
Confidence
Long-term
Relevance
10/29/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedDisaggregated serving splits the Prefill phase and the Decode phase of LLM inference to be executed independently on different hardware resources.70% similarUnverifiedDisaggregated LLM deployment places the prefill and decode phases on separate GPU resource pools.69% similarUnverifiedvLLM introduced a bidirectional KV cache transfer mechanism that allows prefill and decode nodes to reuse already-computed context across rounds.68% similarUnverifiedIn vLLM, NIXL is commonly used to implement cross-node KV cache transfer under a Prefill/Decode disaggregated architecture64% similarUnverifiedEach V8 Isolate has its own independent heap memory and execution context, completely isolated from one another but sharing the same process.59% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1110166API
curl https://kongchang.com/api/v1/knowledge/claims/1110166MCP
get_claim(id=1110166)