Unverified50% confidenceFactExact time
vLLM used a DEP32 parallelism strategy in the comparison, while DeepInfer adopted an EP64DP64 configuration.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/29/2026
First Seen
Valid until: 11/12/2026
Sources
Related Entities
Related Claims
UnverifiedvLLM v0.27.0 introduces a simplified fault-tolerance framework designed specifically for DP+EP external load balancer deployment scenarios, and provides asynchronous preparation capability for elastic EP scaling.68% similarUnverifiedvLLM v0.28.0rc2 introduces a new speculative decoding feature called DFlash2, which combines two major technical components: local convolution and a candidate selector (PR #52816).67% similarUnverifiedModel Runner V2 gains two capabilities in vLLM v0.28.0: E/P/D separation (Encode/Prefill/Decode disaggregated deployment) and weight offloading.64% similarUnverifiedThe deployment scale of V4.1 is prefill EP2 to EP8 and decode EP64 to EP128; DeepInfer adds intra-group voting and a second round of confirmation in the scheduler to coordinate card pacing under wide expert parallelism.64% similarUnverifiedThe release package provides separate .deb installers for x86_64 (amd64) and aarch64 (arm64) architectures.63% similar
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