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tensorrt-llm

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By nvidia

COMPILERS AND RUNTIMES

tensorrt-llm — TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. Listed under Compilers and runtimes in the Inference / Serving layer. None of the 6 comparison attributes for its category are recorded yet.

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.

3 OF 4 SIGNALS HELD · MISSING LICENCE

WebsiteNVIDIA/TensorRT-LLM

What it runs on, and what runs on it

3 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
not measured
DOWNLOADS 30D
not measured
LAST COMMIT
not measured

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.

Either the pricing is behind a sales call and there is no public page to read, or the last reading passed 21 days and was hidden rather than shown stale. 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

0 answered · 6 unanswered

6 questions declared by Compilers and runtimes. Most rows across the directory read like these.

ATTRIBUTEANSWEREVIDENCE · SOURCE
Hardwareno answer on record
Licenceno answer on record
Model formatsno answer on record
Open sourceno answer on record
Precisionsno answer on record
Quantizationno 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

More from nvidia

6 other products from nvidia. Listed under the same organisation record — see the company page.

garakLLM vulnerability scannerObservability / EvalsMegatron CoreOngoing research training transformer models at scaleMLOps / LifecycleNVIDIAWorld Leader in AI ComputingSilicon / HardwareNVIDIA NeMo GuardrailsNeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systemsSecurity / GovernanceNVIDIA NIMPrebuilt inference microservices for foundation modelsInference / ServingNVIDIA Triton Inference ServerThe Triton Inference Server provides an optimized cloud and edge inferencing solutionInference / Serving

Also in this category

10 products in Compilers and runtimes. Comparison defaults to within the category — pairing this with a GPU cloud would produce a page that means nothing.

DeepSpeedUSED BY 10COMPARE →
annotaterbNO DEPENDENTS RECORDEDCOMPARE →
brickNO DEPENDENTS RECORDEDCOMPARE →
cactusNO DEPENDENTS RECORDEDCOMPARE →
envdNO DEPENDENTS RECORDEDCOMPARE →
flashinferNO DEPENDENTS RECORDEDCOMPARE →
jetstreamNO DEPENDENTS RECORDEDCOMPARE →
kitopsNO DEPENDENTS RECORDEDCOMPARE →

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

Frequently asked

What does tensorrt-llm run on?
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.
What does a blank mean on the tensorrt-llm 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 tensorrt-llm 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 tensorrt-llm 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 nvidia?
No. It is built from public sources, and no value on it came from the company. Anyone with an address at docs.nvidia.com can claim it for free. 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, “tensorrt-llm — Compilers and runtimes”. https://www.infratoapp.com/products/tensorrt-llm

What tensorrt-llm can and cannot change here

Claiming nvidia 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.

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