May 31, 2026 · Artificial Intelligence

vLLM 0.22 Release: Production-Ready DeepSeek V4 and Extreme KV Cache Compression

The vLLM 0.22 stable release introduces production‑grade DeepSeek V4 support, massive kernel fusions, up to 10‑20× speedups, Batch Invariance with 28.9% latency gain, a Rust front‑end, multi‑level KV cache offload that can double context length, and broad hardware coverage across NVIDIA, AMD, CPU and RISC‑V, making it a pivotal upgrade for inference infrastructure teams.

Batch InvarianceDeepSeek V4Inference Optimization

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vLLM 0.22 Release: Production-Ready DeepSeek V4 and Extreme KV Cache Compression

Machine Learning Algorithms & Natural Language Processing

Apr 28, 2026 · Artificial Intelligence

Why DeepSeek V4 Insists on Batch Invariance—and What It Costs

DeepSeek V4 achieves ultra‑long context, complex training pipelines, and custom high‑performance kernels by enforcing batch invariance, a design that guarantees bit‑wise identical outputs across varying batch shapes but incurs lower GPU utilization, reduced small‑batch speed, and added engineering complexity.

Batch InvarianceDeepSeek V4GPU utilization

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Why DeepSeek V4 Insists on Batch Invariance—and What It Costs