Model Serving & Inference
vLLM
High-throughput and memory-efficient inference and serving engine for LLMs with PagedAttention.
Pricing Model
Open Source
Starting Price
$0
Self-Hosted
Available (Docker/Open Source)
Target Audience
AI Infrastructure Engineers, GPU Cluster Operators
Core Features & Capabilities
- ✓ PagedAttention Algorithm
- ✓ Continuous Batching
- ✓ OpenAI-compatible server
- ✓ Tensor Parallelism
Pros
- + Industry standard for fast open-source inference
- + Up to 24x higher throughput than HuggingFace
Cons / Limitations
- - Requires dedicated GPU infrastructure (CUDA/ROCm)
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