Company lists · Data refreshed September 2026
Top 25 Deep learning infrastructure providers based in San Francisco, United States
RevenueBase identified 66 deep learning infrastructure providers headquartered in San Francisco, United States as of September 2026 and tracks 2,371 professional contacts across them, including 928 with verified work emails. Across the United States, San Francisco is the largest hub for this category.
This list covers deep learning infrastructure providers headquartered in San Francisco, United States, matched on what each company actually does as described in its own words. Ranked by team size, largest first. Every row shows the company's own description, its RevenueBase Smart Search rating, and when it was last checked. Data refreshed September 28, 2026.
Published by RevenueBase, a B2B data infrastructure company. This list was built with RevenueBase Smart Search, the natural-language company search RevenueBase customers use to build their own targeted lists and unlock verified emails and direct dials at the companies on them. How these lists are built and judged.
The 25 largest deep learning infrastructure providers based in San Francisco, United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 544 contacts → | ||||
Indirect evidence “The Superintelligence Cloud” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 2 | 441 contacts → | ||||
Partial evidence “Labelbox builds and operates reinforcement learning data factories for the world’s leading AI labs and enterprises, powering the next generation of frontier models and AI…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 3 | 304 contacts → | ||||
Indirect evidence “Together AI is the AI Native Cloud, purpose-built for AI engineers and researchers with a full suite of tooling across inference, model shaping, and pre-training.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 4 | 94 contacts → | ||||
Partial evidence “Our efficient systems-level AI infrastructure enables a tenfold improvement in both training and inferencing of the largest generative models.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 5 | 93 contacts → | ||||
Partial evidence “The Voltage Park AI Factory: a fully integrated hardware and software platform that eliminates the learning curve, vendor lock-in, and data privacy tradeoffs holding companies…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 6 | 83 contacts → | ||||
Indirect evidence “Runpod is the AI Developer Cloud for teams building, training, and scaling AI applications.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 7 | 70 contacts → | ||||
Indirect evidence “Banana provides ML Model Hosting as an API.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 8 | 43 contacts → | ||||
Indirect evidence “Liquid AI Infra for researchers.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 9 | 36 contacts → | ||||
Indirect evidence “At Rain AI, we’re creating a future with abundant and scalable artificial intelligence.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 10 | 34 contacts → | ||||
Indirect evidence “Prime Intellect makes frontier AI training accessible to every company.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 11 | 32 contacts → | ||||
Partial evidence “Run machine learning models in the cloud” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 12 | 23 contacts → | ||||
Partial evidence “Wiro was founded in 2023 for providing the growing demand for AI and machine learning technologies across various sectors.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 13 | 23 contacts → | ||||
Partial evidence “Building the modern, human-centric ML/AI infrastructure stack.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 14 | 22 contacts → | ||||
Indirect evidence “Hyperbolic provides high‑performance GPU clusters and managed inference for AI startups and ML teams that need reliable capacity on demand, at a lower cost than anyone else.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 15 | 17 contacts → | ||||
Partial evidence “Runloop provides the infrastructure platform for developers building the future of software engineering.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 16 | 16 contacts → | ||||
Partial evidence “Novita AI is an AI & Agent Cloud platform built to make advanced AI infrastructure accessible, reliable, and cost-effective for developers and fast-growing teams.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 17 | 10 contacts → | ||||
Indirect evidence “Shadeform unifies access to compute at scale across 30+ vetted providers.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 18 | 7 contacts → | ||||
Indirect evidence “nCompass is a Y Combinator backed startup providing a platform for acceleration and hosting of large AI models.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 19 | 6 contacts → | ||||
Indirect evidence “Ensemble helps developers run AI models faster, cheaper, and at scale-without compromising accuracy.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 20 | 6 contacts → | ||||
Indirect evidence “Vellex Computing is a Stanford spinout, backed by the NSF and DOE, bringing ultra-low power AI training.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 21 | 5 contacts → | ||||
Indirect evidence “Run serverless GPUs on private cloud” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 22 | 3 contacts → | ||||
Strong evidence “Modelbit makes it easy for machine learning engineers to deploy any ML model to on-demand infrastructure with one git push command.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 23 | 2 contacts → | ||||
Partial evidence “N5 is the infrastructure for how AI-native enterprises are built.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 24 | 2 contacts → | ||||
Indirect evidence “We enable AI at scale.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 25 | 1 contacts → | ||||
Indirect evidence “Frontier-grade APIs for open source AI models.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
RevenueBase Smart Search
RevenueBase Smart Search assesses information from a company’s LinkedIn profile, information supplied directly by the company, its website, and other publicly available sources. It uses that information to rate how closely the company relates to this list’s category: deep learning infrastructure providers. Every row carries its rating and the description the rating was read from, so each one can be checked rather than taken on trust.
- Strong evidence
- The company's own public description of its business names deep learning infrastructure providers.
- Partial evidence
- Its own public description names part of deep learning infrastructure providers, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name deep learning infrastructure providers. The match rests on the rest of the company's public profile rather than the one sentence quoted here, so this is the rating to check first.
RevenueBase Smart Search is how these lists are built: RevenueBase's data engine and AI assemble the companies that match a category defined in a user's own words, so a list can be about what companies actually do rather than about whichever industry code they were filed under.
Showing 25 of 66 deep learning infrastructure providers based in San Francisco, United States
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Deep learning infrastructure providers based in San Francisco, United States at a glance
As of Sep 28, 2026Companies by employee count
Email recency for this list is measured across the whole United States list rather than for San Francisco, so it is reported there. Company counts and contact totals on this page are exact for San Francisco, over 66 companies.
How this list was built
Company categories are rarely black and white. RevenueBase reads each company's own description of its business to decide whether it belongs among deep learning infrastructure providers, so some rows will be adjacent to the category rather than pure plays. The description and RevenueBase Smart Search rating on every row are there so you can check each match yourself.
- Source
- The RevenueBase company graph: 60 million companies and 398.9 million professional contacts resolved from primary sources, queried with RevenueBase Smart Search, the natural-language company search available to every RevenueBase user.
- What qualifies
- Companies headquartered in San Francisco, United States whose own description of what they do matches “deep learning infrastructure providers”. Matching reads each company's description, not its industry code or its name.
- RevenueBase Smart Search
- RevenueBase Smart Search is how this list is assembled and how each row is rated. RevenueBase's data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to a category defined in a user's own words. Each row is rated strong evidence (its own description names deep learning infrastructure providers), partial evidence (it names part of the category) or indirect evidence (the description shown names none of it and the match rests on the rest of the company's profile). The description supporting each rating is quoted on the row.
- What we exclude
- Companies whose own description does not clearly place them among deep learning infrastructure providers, and records with no verified work email. Companies headquartered outside San Francisco are excluded even when they keep an office there.
- Match quality
- In blind human judging of this matching method, 86% of matched companies were on target. Expect roughly 1 in 7 rows to be adjacent to the category rather than a pure play. Every row shows the company's own description and its RevenueBase Smart Search rating so you can judge each match yourself. Read the full methodology: how the lists are built, how the judging worked, and what the figure means.
- Ranking
- Team size, largest first: companies are ordered by the number of professionals RevenueBase tracks at each one. Employee ranges shown are reported bands, for context.
- Verification
- Every listed company carries at least one verified work email, 928 across the full list. Contacts re-verify on a rolling cadence, and each contact's own verification date is shown inside RevenueBase.
- Refresh
- This page's figures were pulled from the company graph on September 28, 2026. Lists refresh periodically as the graph is re-checked.
- Corrections
- Wrong category, wrong headquarters, or a company that has closed? Use “Report an issue” on any row. Reports go to the RevenueBase Data Team and feed back into the company graph.
Deep learning infrastructure providers by metro in the United States
Frequently asked
What is RevenueBase Smart Search?
RevenueBase Smart Search is how RevenueBase decides which companies belong on this list and how strongly each one fits. Its data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to the category the list is about. Each row is rated strong evidence when the company's own description names deep learning infrastructure providers, partial evidence when it names part of the category, and indirect evidence when the description shown names none of it and the match rests on the rest of the company's profile.
How many deep learning infrastructure providers are there based in San Francisco, United States?
RevenueBase identified 66 deep learning infrastructure providers headquartered in San Francisco, United States as of September 2026, matched on each company's own description of what it does rather than its industry code.
What is the largest company on this list?
Lambda, headquartered in San Francisco, tops this list with the largest team on record.
Which city in the United States has the most deep learning infrastructure providers?
San Francisco leads the United States with 66 headquartered companies, followed by New York (29) and San Jose (20).
How do I get contact information for these companies?
A free RevenueBase account lets you run this exact search and work the top results, verified emails and direct dials included. Upgrading unlocks all 928 verified decision-maker contacts tracked across these 66 companies.
How current is this list?
The list refreshes periodically as the company graph is re-checked. This page's figures were pulled on September 28, 2026.
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About this data
RevenueBase is a B2B data infrastructure company. Its company graph covers 60 million companies and 398.9 million professional contacts, with emails verified on a rolling cadence rather than scraped once and left to decay. These company lists are generated directly from that graph with RevenueBase Smart Search, the same natural-language company search every RevenueBase user has: describe a market in plain words, get the companies that match, and add verified emails and direct dials for the people at them. It is the same data that powers RevenueBase's B2B data products, and a free account includes 500 credits to start. How these lists are built and judged.
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