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Today, we are announcing our Series B funding round, valuing the company at more than $1B.
This round accelerates our next-gen Trinity models across diverse infrastructure, expands our work with the DOE and national labs on Genesis-Science-1, and enables us to build the platform teams need to build, evaluate, deploy, and operate open models in production.
We are grateful to our team, partners, open-source community, and investors.
Led by @Vista_Equity, Cambium Capital, and @emergencecap, with participation from AI10 Ventures, @Hitachi, IAG, @M12vc, @p7ventures, and @Wipro.
Arcee is a proud sponsor of the @lmsysorg SGLang Summit at Fort Mason Center kicking off this Thursday.
Stop by our booth and make sure to catch our CTO @latkins on Friday afternoon for "Fast Tokens, Slow Agents: Building Open Models for Real Agent Workloads" (4:10PM PT, Decode Room).
sglang.io/summit
We appreciate you @yacinelearning!
Give him a follow for deep technical interviews 🔥
also big shout out to everyone coming into the livestream to ask solid big smart questions I wouldn't have thought about and shout out to @arcee_ai for sponsoring this stuff man love you guys 🌹🌹🌹
If you weren't able to make Flower AI Day last month, the full recording of our CTO @latkins' fireside chat is now up on the @flwrlabs channel.
A few of the topics covered:
• Pre-training the 400B Trinity MoE on 2,000 B300s
• Debugging router and expert collapse mid-run
• Significantly dropping training costs using synthetic data and Blackwell kernels
• Post-training across diverse agent harnesses and continual pre-training
Watch the full talk here: youtube.com/watch?v=2RhlgYwp…
What happens when open models become radically more capable?
Our CTO @latkins is speaking on "The Open Paradox" tonight at Founders Inc. in SF for the Open Source AI Awards.
RSVP: luma.com/7ebvz0oq
🎤 Bringing together speakers from @UnslothAI, @inferact, @huggingface, @GoogleDeepMind, @arcee_ai, and @Claude_Memory
See you at Awards Night!
Catch @allisonology on the first episode of the new High Taste Testers show from Latent Space!
🆕 show: HIGH TASTE TESTERS
We convene top Al power users to compare what actually works-and what falls apart once you start using it.@davis7, @benhylak, @dexhorthy, @allisonology, @altryne and @swyx give you unfiltered takes on @OpenAl DevDay, Dots vs Muse vs GrokBot vs Instinct, who's winning coding, personal assistants, and the gap between impressive Al capabilities and useful products.
From Pi-powered personal agents and decision models to subagents, context management, prompt injection, and assistants that can spend money: what should you actually use?
CHAPTERS
00:00 Introducing High Taste Testers
01:26 OpenAl DevDay: Dots, Spaces, and product execution
10:28 Great models versus great products
14:39 Agents versus assistants
18:08 Building a personal assistant with Pi
21:07 Decision models, Jev, and predictive interfaces
32:46 Model speed, writing quality, and subagents
37:29 Agent loops, forks, and context management
43:19 Haiku, Muse Spark, and Grok
50:00 Local models and coding benchmarks
54:09 Prompt injection and assistants taking action
57:50 Tools, payments, and assistant overload
1:02:16 Delegation, computer use, and everyday workflows
1:10:48 Al hardware and closing thoughts
THANKS TO THE TESTERS
Ben Davis - @davis7
Ben Hylak - @benhylak
Dex Horthy - @dexhorthy
Allison Durham - @allisonology
Alex Volkov - @altryne
Happy to back the @sgl_project team for the SGLang Summit. We'll see you there November 12–13. ⤵️
Proud to welcome our newest sponsors to SGLang Summit.
In just one week since our public announcement, our sponsor lineup has grown from 11 to 36. Thank you to every sponsor helping bring this community together.
Join 2,000+ engineers, researchers, and builders from across the AI ecosystem for technical sessions, hands-on workshops, and the GPU Expo.
Hear from Lip-Bu Tan, Lilian Weng, Soumith Chintala, Aravind Srinivas, and more. Meet the teams building across AI hardware, infrastructure, models, and applications.
🗓️ November 12–13, 2026
🌉 Fort Mason, San Francisco
🎟️ Get your tickets: sglang.io/summit
Next Tuesday (10/13) our CTO @latkins is speaking at the Open Intelligence Summit, hosted by @digitalocean & @nvidia.
The day kicks off with a 1PM keynote, followed by talks on specialized open models, agent architectures, and production workloads.
Lucas will take the stage at 4:10PM for the closing panel on what’s next for open intelligence.
➡️ Details & registration: do.co/ois
Stop by and try our flavor: MoE (Matcha of Experts)!
A sweet treat to get you through SF Tech Week.
Our SomiSomi pop-up is available all week. Be sure to check out flavors inspired by our friends at @MiniMax_AI, @arcee_ai, and @weaviate_io.
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We’re proud to sponsor Open Together, a free community event hosted by @huggingface on Friday, October 16, to kick off Open Source AI Week in SF.
The evening is split into two parts:
➡️ 6PM – 9PM: 36 live community demos, food, drinks, and time to connect with open-source builders
🪩 9PM – 12AM: Full dance floor with live DJ sets
Doors open at 6 PM, and the first 500 people through the door get collectible HF swag. 🤗
RSVP: luma.com/opentogether
We use Fuzzball from @CtrlIQ to orchestrate workloads across our cloud, GPU-provider, and on-premises infrastructure.
It sits directly beneath our in-house training and inference stack, keeping our workloads portable across compute providers as we build our next flagship models.
Learn more:
ciq.com/customer-story/ai-ar…
We're partnering with @boltdotnew on Forge, a new initiative to help train our next-generation open models using real-world development data.
Starting today, eligible Bolt Pro users who opt in get 50x more usage across top open-weight models, including DeepSeek-v4-Pro, GLM-5.3, and Kimi-K3 with no daily caps.
In exchange, anonymized build sessions will directly inform Arcee's model training and evaluations. Once the training wraps up, these models will be released with weights published and freely available to the public.
Learn more:
arcee.ai/blog/arcee-partners…
Our CTO @latkins spoke with @ScienceMagazine about Arcee’s work with the DOE and why open-weight models are non-negotiable for frontier research.
science.org/content/article/…
The Arcee API now includes GLM-5.3 and GLM-5.3-Flash.
Two weeks ago we opened the catalog beyond Trinity so you can run your favorite open models from one endpoint: Trinity, DeepSeek, Kimi, Inkling, and now GLM.
➡️ Use them in nac for long-running, hands-off work.
platform.arcee.ai
nac v0.1.4 is out.
What’s new:
• Conversation forks
• Stop waits for cleanup
• Project sessions stay put
• Bug fixes
➡️ Upgrade now with: nac-web upgrade
github.com/arcee-ai/nac/rele…
nac v0.1.3 is out.
What’s new:
• Project-backed session organization
• Skill prompt expansion & composer autocomplete
• Sandboxed Git worktrees per session
• Vision-aware image reading
• Shiki syntax highlighting for code & diffs
➡️ Upgrade now with: nac-web upgrade
github.com/arcee-ai/nac/rele…
