Technology · LLMs → Serving · Open Source · wiki:deep
vLLM
vLLM is a leading open-source high-throughput LLM serving engine (PagedAttention, continuous batching) with broad model support. Often the default for self-hosted agent backends. Pair with an LLM gateway so agents stay provider-agnostic. Teams adopting vLLM should verify auth, routing, and tool/provider boundaries against their real traffic shape, including failure modes when upstream models or tools stall.
Why it matters here
In this catalog it is the Serving option when you need to run model inference at usable latency and cost. Keep vLLM on the observe/propose side of the loop: useful signals and drafts, with human or policy authority still required before anything irreversible runs.
How it works
vLLM serves LLMs at high throughput using PagedAttention and continuous batching.
- Load model weights into the vLLM engine.
- Accept OpenAI-compatible (or native) completion requests.
- Scheduler batches waiting requests; KV cache pages live in GPU memory.
- Stream or return generated tokens to callers.
Related: sglang · text-generation-inference · litellm · topics/04-data
When to reach for it
- Use when: vLLM is a leading open-source high-throughput LLM serving engine (PagedAttention, continuous batching) with broad model support matches the bottleneck and you specifically need to run model inference at usable latency and cost.
- Skip when: another pack already covers the need with less ops surface, or vLLM would become a second place people retype truth.
- Prefer instead: compare SGLang, Text Generation Inference, LiteLLM before locking the cell.
Limits
- Ops: confirm license, hosting, and release cadence for vLLM (vllm-project/vllm) before relying on it in a live corridor.
- Integration: bad credentials, scopes, or schema drift produce empty retrievals or runaway tool/model spend without an obvious UI alarm.
- Scope: Serving components support agents; they are not the company ledger or the approval authority.
What we checked
Claims below are backed by science sources on disk.
Primary / product role
ACM Digital Library record (SOSP) · MODERATE
“vLLM improves the throughput of popular LLMs by 2-4× with the same level of latency compared to the state-of-the-art systems, such as FasterTransformer and Orca.”
Docs or contrast
Efficient Memory Management for Large Language Model Serving with PagedAttention · MODERATE
“High throughput serving of large language models (LLMs) requires batching sufficiently many requests at a time.”
Additional source
vllm-project/vllm · MODERATE
“vLLM is a fast and easy-to-use library for LLM inference and serving.”
Research inventory
9 tags · 11 out · 12 in · 3 artifacts · 1 gaps · 19 corpus docs
Catalog tags
- landscape.layer
- LLMs
- landscape.subcategory
- Serving
- license_tag
- Open Source
- maps.dm
- absent
- maps.features
- 6
- one_liner
- LLMs
- review.depth
- science
- slug
- vllm
- title
- vLLM
Artifacts
- dm_map · absent
- features_map · present · technologies/vllm/features.md
- readme · present · technologies/vllm/README.md
Out · alternative_to
- llama-cpptechnology
- ollamatechnology
- sglangtechnology
- tensorrt-llmtechnology
- text-generation-inferencetechnology
Out · maps_to
- bring-your-own-modelfeature
- cost-latency-opsfeature
- deployment-data-residencyfeature
- model-flexibility-routingfeature
- open-sourcefeature
- self-hostfeature
In · alternative_to
- llama-cpptechnology
- ollamatechnology
- sglangtechnology
- tensorrt-llmtechnology
- text-generation-inferencetechnology
In · in_stack
- llms-servingstack · alternative_slot
In · maps_to
- bring-your-own-modelfeature
- cost-latency-opsfeature
- deployment-data-residencyfeature
- model-flexibility-routingfeature
- open-sourcefeature
- self-hostfeature
Corpus tags
- category
- LLMs → Serving
- dedication
- open-source
- feature
- bring-your-own-modelcost-latency-opsdeployment-data-residencymodel-flexibility-routingopen-sourceself-host
- kind
- map_edgetech_featurestech_quotetech_readme
- needs_deepen
- false
- quality
- ok
- slug
- vllm
- source_id
- acm-3600006pagedattention-sosp23vllm-github
- technology
- vllm
Corpus documents (19)
map_edge · 6
- vllm → bring-your-own-model
- vllm → cost-latency-ops
- vllm → deployment-data-residency
- vllm → model-flexibility-routing
- vllm → open-source
- vllm → self-host
tech_features · 1
- vLLM · features
tech_quote · 11
- vLLM · acm-3600006
- vLLM · acm-3600006
- vLLM · acm-3600006
- vLLM · pagedattention-sosp23
- vLLM · pagedattention-sosp23
- vLLM · pagedattention-sosp23
- vLLM · pagedattention-sosp23
- vLLM · vllm-github
- … +3 more
tech_readme · 1
- vLLM