Arcee AI has shifted its entire catalog of public models, private models, proprietary datasets and agent traces to Hugging Face as the exclusive storage and distribution platform, marking the first full migration of this scale by a major American AI lab away from AWS S3 under a multi-million-dollar commercial agreement.
Super excited to announce that @arcee_ai is the first major American AI lab to replace AWS S3 with Hugging Face for ALL their models and datasets, public AND private 🔥🔥🔥
Multi-million $ partnership to support American open-source AI, let’s go!
Enterprise customers now access a single supply chain on the Hugging Face Hub for both open and confidential artifacts, with private storage handled through Hugging Face Buckets that bundle per-TB pricing, egress and CDN; public releases continue alongside planned co-developed drops.
The exact dollar value, payment structure, data volume moved and migration completion timeline are not specified, leaving the full scope of the transition and any per-TB rates open for later clarification.
Many users praised Arcee AI's switch to Hugging Face and the new partnership as impressive for open-source AI, while a few dismissed the move as misleading or unimportant.
Today we're announcing a multi-million-dollar strategic partnership with @huggingface.
The Hub is now the exclusive home for everything we build: every open model we release, every private run, every proprietary dataset, and every agent trace. All of it lives there.
HF has been an amazing partner since day one, so this was easy. As we’ve grown from a post-training shop into a full model lab, @huggingface is the obvious partner to scale the infra open models demand.
We’re all in, and we’re not slowing down. Get ready.
Super excited to announce that @arcee_ai is the first major American AI lab to replace AWS S3 with Hugging Face for ALL their models and datasets, public AND private 🔥🔥🔥
Multi-million $ partnership to support American open-source AI, let’s go!
First major American AI lab to replace AWS S3 with Hugging Face 🔥 @arcee_ai is putting their entire catalog on the Hub — not just open releases, but private models & proprietary datasets too. Multi-million $ partnership. Buckets is now their research and production storage layer. Let's go 🚀
Super happy to work with @MarkMcQuade @latkins and team! More in 🧵
🤝 @ClementDelangue 🤝 @MarkMcQuade
If people only knew how much OpenMed runs on HF Stack like Buckets, Datasets, and Spaces,
From datasets, to agent traces, to medical intelligent MCPs, to binary builds for OpenMed Agent, @huggingface has quietly become one of the easiest and best cloud platforms for AI builders.
Super excited to announce that @arcee_ai is the first major American AI lab to replace AWS S3 with Hugging Face for ALL their models and datasets, public AND private 🔥🔥🔥
Multi-million $ partnership to support American open-source AI, let’s go!
rc <3 hf
Today we're announcing a multi-million-dollar strategic partnership with @huggingface.
The Hub is now the exclusive home for everything we build: every open model we release, every private run, every proprietary dataset, and every agent trace. All of it lives there.
Huge step for Arcee and for American open-source AI.
We’re building at frontier scale, and that means the model + dataset layer needs as much love as the training itself. Secure, scalable, and built for collaboration across public/private work.
Excited to partner with @huggingface and keep pushing open AI forward from the U.S.
Super excited to announce that @arcee_ai is the first major American AI lab to replace AWS S3 with Hugging Face for ALL their models and datasets, public AND private 🔥🔥🔥
Multi-million $ partnership to support American open-source AI, let’s go!
More details here: https://huggingface.co/blog/clem/arcee-hf
Super excited to announce that @arcee_ai is the first major American AI lab to replace AWS S3 with Hugging Face for ALL their models and datasets, public AND private 🔥🔥🔥
Multi-million $ partnership to support American open-source AI, let’s go!
@arcee_ai @code_star @huggingface waow care to spare a million for a fella building stuff?
Who else is working on American open-source AI?
@Huggingface x @arcee_ai
Super excited to announce that @arcee_ai is the first major American AI lab to replace AWS S3 with Hugging Face for ALL their models and datasets, public AND private 🔥🔥🔥
Multi-million $ partnership to support American open-source AI, let’s go!
With 14 researchers and about 30 people total across the company - Arcee is a lean operation.
To consistently ship world-class work at our size, infrastructure has to be invisible. The moment our team is spending energy on storage architecture and cost instead of model design, we’ve already lost.
Hugging Face Buckets solves this.
It gives us optimized, per-TB storage with egress and CDN included. It makes us completely compute agnostic. We can train wherever cluster capacity is cheapest and best, spin the compute down, and our data is right there waiting.
@ClementDelangue @arcee_ai let's go!
@raulizahi @arcee_ai @code_star @huggingface sure
we are not VC funded, only have funding from angels but gcp/aws/azure will only get you a reasonable amount of credits if u come with an accelerator
Read the full partnership announcement on the Arcee blog: https://www.arcee.ai/blog/why-we-made-hugging-face-the-home-for-everything-we-build
This builds on a foundation we've been laying for over two years.
With 200+ models and millions of downloads, Arcee is already one of the most active American labs on the Hub. Making it our official home allows us to meet 15 million ML engineers exactly where they already build.
We punch above our weight because we are ruthless about where we spend our focus.
This partnership removes an entire category of operational overhead. Every ounce of energy we get back goes straight into data quality, training runs, and product experience.
Follow arcee-ai on the Hub and stay tuned, we can’t wait to show you our next generation of open models when they’re ready.
@tekbog @arcee_ai @huggingface Couldn’t help myself.
@julien_c @ClementDelangue @MarkMcQuade wait that’s one too many handshakes
@ClementDelangue @arcee_ai wow exciting! Do they have opensource models?
Arcee AI has shifted its entire catalog of public models, private models, proprietary datasets and agent traces to Hugging Face as the exclusive storage and distribution platform, marking the first full migration of this scale by a major American AI lab away from AWS S3 under a multi-million-dollar commercial agreement.
Super excited to announce that @arcee_ai is the first major American AI lab to replace AWS S3 with Hugging Face for ALL their models and datasets, public AND private 🔥🔥🔥
Multi-million $ partnership to support American open-source AI, let’s go!
