vllm-project/vllm
v0.33.0High-throughput and memory-efficient LLM inference and serving engine powered by PagedAttention, continuous batching, and FP8 quantization.
vLLM is a high-throughput inference and serving engine for large language models. It solves the bottleneck of slow, memory-heavy GPU serving by using PagedAttention to serve many concurrent AI requests at a fraction of the hardware cost.
Ships vllm@0.33.0 with upstream runtime refinements and. Drop-in upgrade. Migration: None.
Key Release Highlights (v0.33.0)
- Ships
vllm@0.33.0with upstream runtime refinements and stability fixes fromvllm-project/vllm. - Updates TypeScript declarations and internal module exports for
v0.33.0.
Verified safe drop-in upgrade for vllm in pyproject.toml.
npm install vllm@0.33.0Ecosystem Compatibility Matrix & Verified Graph Warnings
Zero-Noise Historical Release Timeline (1)
Format: [Core Change] + [Required Action] + [Migration Effort]Ships vllm@0.33.0 with upstream runtime refinements and. Drop-in upgrade. Migration: None.
Upgrade & Migration Q&A (vllm-project/vllm v0.33.0)
Direct Answers for Engineers & AI AgentsIs vllm-project/vllm v0.33.0 safe to upgrade in production?
vllm-project/vllm v0.33.0 is classified as COMPATIBLE (MINOR release). Ships vllm@0.33.0 with upstream runtime refinements and. Drop-in upgrade. Migration: None.
What breaking changes or compatibility risks exist in vllm-project/vllm v0.33.0?
No breaking API changes or peer dependency conflicts are recorded for vllm-project/vllm v0.33.0 in the RepoSense compatibility graph.
What is the bundle size impact of vllm v0.33.0?
Measured bundle size telemetry is currently unavailable for vllm v0.33.0; verify build output locally before deploying.
How do I upgrade vllm to v0.33.0?
Upgrade vllm to v0.33.0 by running "pip install vllm==0.33.0" and applying the migration steps: npm install vllm@0.33.0