Skip to content
InfratoApp
Layers / Inference / Serving / Inference engines / LMDeploy

LMDeploy

UNCLAIMED

By LMDeploy

INFERENCE ENGINES

LMDeploy — A toolset for compressing, deploying and serving LLM. Listed under Inference engines in the Inference / Serving layer. 6 of 9 comparison attributes are recorded, each with the page it was read from.

A toolset for compressing, deploying and serving LLM

4 OF 4 SIGNALS HELD

WebsiteDocsInternLM/lmdeploy

What it runs on, and what runs on it

6 cited edges
The differentiator

Computed from the stack graph, both directions. Every cited edge links the page it was read from; a vendor-added one links the vendor’s own source — this is the reason to be here rather than on the vendor’s own site.

RUNS ON / INTEGRATES WITH

USED BY

Open-source signals

LICENCE
Apache-2.0
2026-09-10JSON
DOWNLOADS 30D
47,329
LAST COMMIT
2026-09-09
2026-09-10JSON

A HOLLOW RING IS UNMEASURED, NOT ZERO · WE DO NOT SUBSTITUTE A PARENT COMPANY’S REPOSITORY FOR A PRODUCT THAT HAS NONE

Price

We hold no price for this product.

This is open-source software: you can run it yourself and the licence costs nothing. If the project also sells a hosted service, we do not yet hold the page it prices it on. If that changes — or if you publish /.well-known/pricing.json — it appears here with a capture date.

How we read prices →

What its categories ask

6 answered · 3 unanswered

9 questions declared by Inference engines. Most rows across the directory read like these.

ATTRIBUTEANSWEREVIDENCE · SOURCE
Continuous batchingYes2026-09-23
HardwareHuawei Ascend, MetaX-tech, Cambricon, A100-80G GPU
“TurboMind Config — lmdeploy Skip to main content Back to top Ctrl + K Get Started Installation Quick Start On Other Platforms Get Started with Huawei Ascend MetaX-tech Cambricon Models Supported Models Reward Models Large Language Models(LLMs) Deployment Offline Inference Pipeline OpenAI Compa”
2026-09-22
LicenceApache-2.02026-09-11JSON
Open sourceYes2026-09-11JSON
QuantizationAWQ/GPTQ, SmoothQuant, INT4/INT8
“AWQ/GPTQ SmoothQuant INT4/INT8 KV Cache llm-compressor”
2026-09-22
Structured outputYes
“Structured output PyTorchEngine”
2026-09-22
Deploymentno answer on record
OpenAI-compatible APIno answer on record
Streamingno answer on record

A ROW WITH NO ANSWER IS NOT A ROW WITH A “NO” · A VENDOR MAY ANSWER A BLANK ONE, MARKED VENDOR CLAIMED WITH ITS SOURCE · A DOCUMENTED VALUE IS DISPUTED, NOT OVERWRITTEN, AND STAYS VISIBLE WHILE WE RE-READ THE SOURCE

Practitioner reviews

Nobody has written one yet.

A review here is structured, not a star: hardware, scale band, what broke in production, and whether you would choose it again.

NO PERCENTAGE IS SHOWN UNDER FIVE REVIEWS · NO STAR RATINGS, EVER

Also in this category

47 products in Inference engines. Comparison defaults to within the category — pairing this with a GPU cloud would produce a page that means nothing.

AnyscaleUSED BY 30COMPARE →
OllamaUSED BY 20COMPARE →
vllmUSED BY 18COMPARE →
SGLangUSED BY 5COMPARE →
CTranslate2USED BY 3COMPARE →
BasetenUSED BY 1COMPARE →
atomic-chatNO DEPENDENTS RECORDEDCOMPARE →
audio.cppNO DEPENDENTS RECORDEDCOMPARE →

USED BY = LISTED PRODUCTS DEPENDING ON IT, IN THIS DIRECTORY

Frequently asked

Is LMDeploy open source?
Yes — it is listed as open source, and its repository is the source for the activity figures on this page rather than anything the project says about itself.
What does LMDeploy run on?
Anyscale, OpenAI. Every one of those is an edge we recorded from documentation that states it, not an inference from what the two products have in common.
Does LMDeploy offer structured output?
Yes. Read from their own page: “Structured output PyTorchEngine”.
What does a blank mean on the LMDeploy page?
That nobody has told us, not that the answer is no. A hollow ring is "no answer on record", which is a different state from a recorded no — and the two look different on purpose. A blank is an absence of evidence, and this page shows how many of its questions are in that state rather than quietly leaving them out.
Where do the LMDeploy figures come from?
Each one is read from a public page — usually the vendor's own documentation or pricing page — and carries a link to it with the date it was read. Nothing here is estimated, averaged across sources, or inferred from a similar product. If a figure cannot be traced to a page, it is not published.
Can LMDeploy change what this page says?
They can claim the listing and supply or correct values, which are then labelled as theirs. They cannot remove the page, hide a comparison they are losing, or change a figure somebody else recorded with a source. Nothing on the page is for sale. How the site is paid for is set out under money and independence at /our-data#sec5.
Something here is wrong — how do I fix it?
Dispute the value. Every figure links to the page it was read from, so a dispute names the value and gives a source that contradicts it. That is the only lever anyone has over this page, and it is the same lever for the vendor, a competitor and a reader.
Is this listing run by LMDeploy?
No. It is built from public sources, and no value on it came from the company. Its website is on shared hosting, so an email address cannot prove who owns it and there is no claim by address. A correction with a source can be sent instead. A claim lets the company write the tagline, description and logo, and answer blank questions or add dependencies, each marked as theirs with a source. Prices, licence and OSS figures stay as the directory read them, category changes only through our review, and each can be disputed with a source.

Cite this page

A model that quotes us should quote us correctly. The reading and its date sit inside the citation rather than beside it, because a quotation carrying only a URL goes wrong the week the URL changes.

infratoapp, “LMDeploy — Inference engines”, read 23 September 2026. Continuous batching: Yes as published at lmdeploy.readthedocs.io. https://www.infratoapp.com/products/lmdeploy

What LMDeploy can and cannot change here

Claiming LMDeploy lets its admins and editors change the tagline, description, logo, docs link and deployment model of every product that org owns — live, labelled as theirs, and logged. Answers to blank questions and dependencies go live too, marked as the owner’s and sourced; a documented answer cannot be overwritten. Everything else on this page is a stated fact with a dispute route: price, licence and OSS figures. Those columns are ungranted at the database level, so they are not a feature we withheld — they are a write that cannot happen. Name, category, website, pricing page and package names can be changed by the owner only through our review. A dispute never deletes a value; it marks it and publishes the correction.

LMDeploy’s website is on shared hosting, so an email address cannot prove who owns it and there is no claim by address. If you maintain it, send a correction with a source.

Maintain LMDeploy? Ask us to verify you.