# Which large banks use Nvidia?

Source: https://www.bankingnewsai.com/banks/leaders/use-nvidia
Last updated: Oct 30, 2026


Checked 2026-10-28 · bank profiles and the Nvidia vendor page. Nothing on this page is written by a model: every row is computed from that dataset.

On the public record as of Oct 28, 2026, 15 of the 141 large banks profiled have a dated, sourced profile entry naming Nvidia (a use case, a timeline move, a platform note or a vendor-page customer record). Ranked by entries naming Nvidia, the top 5 are JPMorgan (6 entries), BNY (6 entries), RBC (5 entries), City National (4 entries) and Banco Santander (3 entries). JPMorgan's strongest evidence: Federated-learning fraud detection (Kinexys) — With BNY, RBC, DeepTempo and NVIDIA, Kinexys demonstrated federated learning that improves fraud detection while each… (use case, pilot, Aug 5, 2026).

## Which of the large banks use Nvidia?

| # | Bank | Entries naming Nvidia | Strongest entry | Status | Date | On this site | Sources |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | [JPMorgan](https://www.bankingnewsai.com/banks/jpmorgan-chase) | 6 | Federated-learning fraud detection (Kinexys) — With BNY, RBC, DeepTempo and NVIDIA, Kinexys demonstrated federated learning that improves fraud detection while each… (use case, pilot, Aug 5, 2026) | Pilot | Aug 5, 2026 | [JPMorgan profile](https://www.bankingnewsai.com/banks/jpmorgan-chase#where) | [J.P. Morgan Payments](https://www.jpmorgan.com/payments/newsroom/harvard-business-school-case-study-kinexys); [Anthropic](https://www.anthropic.com/glasswing) |
| 2 | [BNY](https://www.bankingnewsai.com/banks/bny-mellon) | 6 | Federated-learning fraud detection — Morgan, RBC, DeepTempo and NVIDIA: banks train local models and share encrypted updates instead of transaction data (use case, pilot, Apr 27, 2026) | Pilot | Apr 27, 2026 | [BNY profile](https://www.bankingnewsai.com/banks/bny-mellon#where) | [J.P. Morgan Payments](https://jpmorgan.com/payments/newsroom/project-aikya-federated-learning-fraud-detection); [NVIDIA](https://blogs.nvidia.com/blog/bny-mellon-superpod) |
| 3 | [RBC](https://www.bankingnewsai.com/banks/rbc) | 5 | Aiden: electronic trading and AidenResearch — Aiden began as a deep reinforcement learning electronic trading platform and now includes AidenResearch, agents that… (use case, in production, Oct 5, 2026) | In production | Oct 5, 2026 | [RBC profile](https://www.bankingnewsai.com/banks/rbc#where) | [NVIDIA](https://nvidia.com/en-us/case-studies/rbc-capital-markets); [American Banker](https://americanbanker.com/news/rbc-says-its-focus-on-ai-is-paying-dividends) |
| 4 | [City National](https://www.bankingnewsai.com/banks/city-national) | 4 | Aiden agent platform (RBC Capital Markets) — Developed with Borealis AI on NVIDIA AI Enterprise (use case, in production, Mar 23, 2026) | In production | Mar 23, 2026 | [City National profile](https://www.bankingnewsai.com/banks/city-national#where) | [PYMNTS](https://www.pymnts.com/artificial-intelligence-2/2026/rbc-embeds-ai-at-the-core-of-banking-aiming-for-1-billion-in-returns/); [RBC](https://jobs.rbc.com/ca/en/preparing-our-workforce-for-a-future-with-ai) |
| 5 | [Banco Santander](https://www.bankingnewsai.com/banks/santander) | 3 | Model Arena and specialised banking models (Santander AI Lab with NVIDIA) (use case, pilot, Oct 19, 2026) | Pilot | Oct 19, 2026 | [Banco Santander profile](https://www.bankingnewsai.com/banks/santander#where) | [Banco Santander](https://www.santander.com/en/press-room/press-releases/2026/10/santander-builds-ai-capabilities-that-improve-performance-and-lower-costs-using-nvidia-ai-infrastructure) |
| 6 | [Goldman](https://www.bankingnewsai.com/banks/goldman-sachs) | 3 | NVIDIA compute-financing platform partner (move, Aug 10, 2026) | Mentioned | Aug 10, 2026 | [Goldman profile](https://www.bankingnewsai.com/banks/goldman-sachs#timeline) | [NVIDIA (GlobeNewswire)](https://www.globenewswire.com/news-release/2026/08/10/3342187/0/en/nvidia-partners-with-apollo-blackrock-blackstone-brookfield-goldman-sachs-and-kkr-to-establish-ai-compute-infrastructure-financing-platforms-to-mobilize-over-500-billion-of-third-p.html) |
| 7 | [MUFG](https://www.bankingnewsai.com/banks/mufg) | 2 | Investors Day Q&A: Morgan Stanley and OpenAI, AI infrastructure fund — MUFG says Morgan Stanley is promoting collaboration with OpenAI and MUFG is implementing AI in Japan step by step, and… (move, Sep 8, 2026) | Mentioned | Sep 8, 2026 | [MUFG profile](https://www.bankingnewsai.com/banks/mufg#timeline) | [Mitsubishi UFJ Financial Group, Inc.](https://www.mufg.jp/dam/ir/presentation/2026/pdf/main_qa260908_en.pdf); [Mitsubishi UFJ Financial Group, Inc.](https://www.mufg.jp/dam/ir/presentation/2026/pdf/speech260901_en.pdf) |
| 8 | [BNP Paribas](https://www.bankingnewsai.com/banks/bnp-paribas) | 2 | BNP Paribas lends to Mistral AI’s data centre — CNBC reported that Mistral AI secured US$830 million in debt financing for a data centre near Paris with 13,800 Nvidia… (move, Mar 30, 2026) | Mentioned | Mar 30, 2026 | [BNP Paribas profile](https://www.bankingnewsai.com/banks/bnp-paribas#timeline) | [CNBC](https://cnbc.com/2026/03/30/mistral-ai-paris-data-center-cluster-debt-financing.html) |
| 9 | [Amex](https://www.bankingnewsai.com/banks/american-express) | 1 | Real-time fraud detection: LSTM models trained on NVIDIA DGX, optimised with TensorRT and served on Triton Inference Server alongside a gradient boosting model (vendor page, in production, Oct 15, 2026) | In production | Oct 15, 2026 | [NVIDIA vendor page](https://www.bankingnewsai.com/vendors/nvidia) | [NVIDIA](https://www.nvidia.com/en-us/customer-stories/american-express-prevents-fraud-and-foils-cybercrime-with-nvidia-ai-solutions/) |
| 10 | [Capital One](https://www.bankingnewsai.com/banks/capital-one) | 1 | Agent servicing tool for thousands of customer-service agents built with the NVIDIA enterprise AI ecosystem; NVIDIA's inference stack (Triton, TensorRT-LLM)… (vendor page, in production, Jul 7, 2025) | In production | Jul 7, 2025 | [NVIDIA vendor page](https://www.bankingnewsai.com/vendors/nvidia) | [Capital One](https://www.capitalone.com/tech/ai/sessions-and-speakers-at-nvidia-gtc-2025/); [VentureBeat](https://venturebeat.com/ai/how-capital-one-built-production-multi-agent-ai-workflows-to-power-enterprise-use-cases) |
| 11 | [Bank of Hawaii](https://www.bankingnewsai.com/banks/bank-of-hawaii) | 1 | Mid-Pacific Institute AI Advisory Council — Bank of Hawaii is a council member (with voices from Nvidia and Microsoft) and presents an AI case study at the 21-22… (section, May 20, 2026) | Mentioned | May 20, 2026 | [Bank of Hawaii profile](https://www.bankingnewsai.com/banks/bank-of-hawaii#patents-and-partners) | [Hawaii Business Magazine (partner content, Mid-Pacific Institute)](https://www.hawaiibusiness.com/edfuture-summit-2026-preparing-hawaii-to-lead-with-ai/) |
| 12 | [Deutsche Bank](https://www.bankingnewsai.com/banks/deutsche-bank) | 1 | NVIDIA (section, Jan 1, 2024) | Mentioned | Jan 1, 2024 | [Deutsche Bank profile](https://www.bankingnewsai.com/banks/deutsche-bank#patents-and-partners) | [Deutsche Bank](https://db.com/news/detail/20221207-deutsche-bank-partners-with-nvidia-to-embed-ai-into-financial-services); [Deutsche Bank Corporate Bank](https://corporates.db.com/files/documents/in-focus/focus-topics/artificial-intelligence/Deutsche-Bank-AG-Corporate-Bank-Artificial-Intelligence-Jan-2024.pdf) |
| 13 | [Santander US](https://www.bankingnewsai.com/banks/santander-us) | 1 | Group level: Santander AI Lab specialises models with NeMo Customizer, uses NVIDIA Kumo models and serves models with Dynamo-Triton inside Santander's own… (vendor page, pilot, Oct 19, 2026) | Pilot | Oct 19, 2026 | [NVIDIA vendor page](https://www.bankingnewsai.com/vendors/nvidia) | [Banco Santander](https://www.santander.com/en/press-room/press-releases/2026/10/santander-builds-ai-capabilities-that-improve-performance-and-lower-costs-using-nvidia-ai-infrastructure) |
| 14 | [Deutsche Bank (U.S.)](https://www.bankingnewsai.com/banks/deutsche-bank-us) | 1 | Group level: multi-year innovation partnership (December 2022) under which Deutsche Bank planned to use NVIDIA AI Enterprise for risk-model development and… (vendor page, announced, Dec 7, 2022) | Announced | Dec 7, 2022 | [NVIDIA vendor page](https://www.bankingnewsai.com/vendors/nvidia) | [Deutsche Bank](https://db.com/news/detail/20221207-deutsche-bank-partners-with-nvidia-to-embed-ai-into-financial-services) |
| 15 | [PNC](https://www.bankingnewsai.com/banks/pnc) | 1 | PNC AI factory — Announced by CEO Bill Demchak in June 2026: PNC is acquiring data centres, buying Nvidia chips and building its own… (platform, Sep 14, 2026) | Restricted | Sep 14, 2026 | [PNC profile](https://www.bankingnewsai.com/banks/pnc#platform) | [American Banker](https://www.americanbanker.com/news/why-pnc-is-building-its-own-ai-factory); [American Banker](https://www.americanbanker.com/news/pncs-solution-to-rising-ai-costs-build-its-own-ai) |

## How is this ranked?

Data: the 141 bank profiles on this site (lib/banks), every entry dated and sourced, plus the bank customers listed on the Nvidia vendor page (/vendors/nvidia).

Rule: A bank is listed when at least one use case, timeline move, platform note, section row, number, quote or leader entry on its profile matches the pattern Nvidia, or when the vendor page records it as a customer. Score = number of matching entries. Order: entries, then banks with a matching use case in production, then the newest entry. An entry that only restricts or blocks the vendor's tool is kept, marked "Restricted" and sorted last.

Counts: 15 of 141 profiled banks qualify; 21 distinct sources cited in the table. Data checked 2026-10-28; ranking template updated 2026-10-30.

## What are the caveats?

Naming Nvidia on the public record is evidence of a relationship, a pilot or a policy, not of contract size or exclusivity; many banks use several providers and do not name them all.

Banks absent from the table have nothing matching on the record this site holds, which is not evidence that they do nothing. Each row links the bank's own page, where every entry carries its sources.

## FAQ

### Which bank ranks first?

JPMorgan Chase leads with 6 entries: Federated-learning fraud detection (Kinexys) — With BNY, RBC, DeepTempo and NVIDIA, Kinexys demonstrated federated learning that improves fraud detection while each… (use case, pilot, Aug 5, 2026). BNY is second with 6.

### How many large banks name Nvidia in sourced AI records?

15 of the 141 profiled banks (120 US, 21 non-US groups). Among those listed, 10 are US banks and 5 non-US groups.

### What counts, and what does not?

A bank is listed when at least one use case, timeline move, platform note, section row, number, quote or leader entry on its profile matches the pattern Nvidia, or when the vendor page records it as a customer. Score = number of matching entries. Order: entries, then banks with a matching use case in production, then the newest entry. An entry that only restricts or blocks the vendor's tool is kept, marked "Restricted" and sorted last. Source: the 141 bank profiles on this site (lib/banks), every entry dated and sourced, plus the bank customers listed on the Nvidia vendor page (/vendors/nvidia).

### Is this a measure of capability?

No. Every row is a sourced fact on the public record: what the bank, a regulator, a filing or an independent outlet has put on the record. The page does not rate how well anything works.

### When was this checked, and how often does it update?

The data behind the table was last checked on 2026-10-28 (bank profiles and the Nvidia vendor page). The page recomputes whenever that dataset changes and is republished with the site; it is never edited by hand.

## Related questions

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- [All ranked answers](https://www.bankingnewsai.com/banks/leaders)

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Canonical page: https://www.bankingnewsai.com/banks/leaders/use-nvidia
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