Mark McQuade @mmcquade_ai_u
CEO and founder of @arcee_ai | @huggingface 🤗 alum. AI and Data Obsessed. Fitness Fanatic. Tattoo Enthusiast. Miami, FL Joined February 2021-
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Excited to be named one of the emerging enablers in the IA40!
@arcee_ai makes enterprise AI more accessible. Running entirely on #AWS the company helps businesses train & deploy Small Language Models. 🛠 Discover what the partnership means for #ArceeAI & why Small Language Models are the next big thing in #generativeAI. 👉…
This month's leading open model contributors in Artifacts Log. Thanks for continuing to release your work. Qwen (@Alibaba_Qwen) x5 Zhipu AI (@ZhipuAI) x2 NVIDIA (@nvidia) x2 OpenAI (@OpenAI) InclusionAI (@InclusionAI666) x2 Infinigence (@infinigenceAI) Tesslate (@tesslateai)…
This month's leading open model contributors in Artifacts Log. Thanks for continuing to release your work. Qwen (@Alibaba_Qwen) x5 Zhipu AI (@ZhipuAI) x2 NVIDIA (@nvidia) x2 OpenAI (@OpenAI) InclusionAI (@InclusionAI666) x2 Infinigence (@infinigenceAI) Tesslate (@tesslateai)…
Welcome to the @M12vc portfolio @arcee_ai, excited to work with @mmcquade_ai_u @LucasAtkins7 and top caliber funds like @emergencecap @p7ventures @Hitachi @SamsungNext @JC2Ventures @Wipro arcee.ai/blog/arcee-ai-…
Introducing AFM - Arcee Foundation Models Today we are extremely excited to announce AFM - @arcee_ai new family of enterprise-grade foundation models designed for secure, real-time AI infrastructure and intelligent automation. Built for: • On-prem, private cloud, or on-device…
I have been a huge fan of what Anthropic is doing for a long time - they are right at the top of my respect list (alongside Together AI). Last week’s launch of integrations, web search, and deep research mode are 🔥🔥🔥. Truth is, I’ve been pushing for a deeper Arcee x Anthropic…
The next era of GenAI won't be confined to the cloud. It's built for the edge. At Arcee, we've quietly developed something new: Arcee Foundational Models (AFMs) - our original LLM architecture, specifically engineered for local deployment. Why? Because AI's future isn't…
⚡️Dropping soon: a killer combo for anyone building with Claude Desktop or custom AI clients. 1️⃣ Open Source Library: Seamlessly convert between stdio MCP servers and Server-Sent Events (SSE) — bidirectional, clean, and optimized. Perfect for unlocking Claude Desktop with your…
We didn’t have 100 engineers. But we built a production-grade training stack anyway. When we started building Arcee, we knew we couldn’t compete on headcount. But we could compete on efficiency, modularity, and speed. So we built a system where every component could stand on…
After 34,261 models and 43.2 million downloads… Here’s what we’ve learned in our first year of shipping MergeKit. It was built to make model merging fast, reproducible, and GPU-optional. No retraining. No fine-tuning loop. Just clean fusing of models. And the response? Way…
At Arcee, we started with full-stack model customization: Continual pretraining, supervised fine-tuning, domain adaptation - you name it. But as base models got stronger, the incremental gains of heavy customization started to look less and less compelling - especially when…
🚀 AI Agents: Beyond Chatbots to True Automation 🚀 The buzz about "AI agents" is everywhere, but let’s cut to the chase: most are still just chatbots in disguise, requiring human intervention for complex tasks. We need more! 🛠️ In genuine operations, a single AI "brain" isn’t…
“AI Agents” is one of the most overused terms in the space right now. We saw teams call something an agent… but it still needed a human in the loop at every step. Start a task → get a fancy response → go back to doing the actual work yourself. So we built something simpler -…
If your AI bill is matching your cloud bill, you’ve got a significant issue. 💸 Companies are realizing that routing every query to the largest, most expensive LLMs is depleting their budgets. At Arcee, we recognized this early on and developed a solution. ⚡ Introducing…
A few months ago, we asked a simple question: Why is everyone still sending every prompt to the same giant, expensive model? We’d seen teams spending tens of thousands per month on LLMs... with most of those tokens going toward simple queries a small model could easily handle.…
🚀 The GenAI playbook is rapidly evolving, and not everyone will adapt in time. Here are 5 key shifts that I believe will separate the winners from the losers: 1️⃣ One-model mindset -> Many-model orchestration: Leaders will utilize a variety of specialized models, not just a…
Controversial take: Multi-agent orchestration isn’t real yet. We all want a swarm of autonomous agents collaborating toward a common goal — the “AI team” dream. But right now? It’s mostly a maze of looping messages, broken memory, and hallucinated handoffs. There’s massive…
MCP isn’t just protocol — it’s a preview of what’s coming. Anthropic’s Model Context Protocol (MCP) lays the groundwork for a future where models can tell us who they are — and where routing becomes intelligent by default. For too long, GenAI systems have treated models like…

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