Bethann Noble

Product Marketing at Mistral AI. Formerly NVIDIA, HUMAN Security (formerly White Ops), Cloudera, IBM.

[clem 🤗 @ClementDelangue]

After @Pinterest @Airbnb @NotionHQ @cursor_ai, today it’s @eoghan @intercom publicly sharing that they’re finding it better, cheaper, faster to use and train open models themselves rather than use APIs for many tasks.

And hundreds of other companies are doing the same without sharing.

Ultimately, I believe the majority of AI workflows will be in-house based on open-source (vs API). It took much more time than we anticipated but it’s happening now!

[Mistral AI @MistralAI]

🔊Introducing Voxtral TTS: our new frontier open-weight model for natural, expressive, and ultra-fast text-to-speech

🎭Realistic, emotionally expressive speech.
🌍Supports 9 languages and accurately captures diverse dialects.
⚡Very low latency for time-to-first-audio.
🔄Easily adaptable to new voices

[Matt Turck @mattturck]

While Silicon Valley obsesses over AGI, @MistralAI is betting that big enterprises and sovereign nations will want to own, not rent, their intelligence

My conversation with co-founder & CTO Timothee Lacroix (@tlacroix6), for his first US podcast ever

Was reminded during this conversation that Mistral is barely 2.5 years old - remarkable

00:00 — Intro

01:27 — Mistral vs. The World: From Research Lab to Sovereign Power

03:48 — Inside Mistral Compute: Building an 18,000 GPU Cluster

08:42 — The Trillion-Dollar Question: Competing Without a Big Tech Parent

10:37 — The Reality of Enterprise AI: Escaping "POC Purgatory"

15:06 — Why Mistral Hires Forward Deployed Engineers (FDEs)

16:57 — The Contrarian Take: Why "Agents" are just "Workflows"

19:35 — Trust & Autonomy: The Truth About Agent Reliability

21:26 — The Missing Stack: Governance and Versioning for AI

26:24 — When Will AI Actually Work? (The 2026 Timeline)

30:33 — Beyond Chat: The "Banger" Sovereign Use Cases

35:46 — Mistral 3 Architecture: Mixture of Experts vs. Dense

43:12 — Synthetic Data & The Post-Training Bottleneck

45:12 — Reasoning Models: Why "Thinking" is Just Tool Use

46:22 — Launching DevStral 2 and the Vibe CLI

50:49 — Engineering Lessons: How to Build Frontier AI Efficiently

56:08 — Are Enterprises Ready for AGI? & The Future of Intelligence

[Mistral AI @MistralAI]

Introducing Mistral OCR 3, a new frontier in document intelligence! 🧵👇

[NVIDIA GTC @NVIDIAGTC]

Don't miss the chance to see NVIDIA Nemotron, open and efficient multimodal models for agentic AI, in action. 👇

🔹 How To Build AI Agents With Open Models
🔹 A First-Of-Its-Kind Integrated Stack for Operational AI and Specialized AI Agents
🔹 Build a Graph RAG Powered by NVIDIA Nemotron LLMs

and more ➡️ https://t.co/dyoGlkoNZJ at #NVIDIAGTC Washington D.C. (available for conference pass holders only)

[Bethann Noble @bethann_nyc]

@capydotai Genius branding

[Bethann Noble @bethann_nyc]

🌟 NIM 1.4 introduces significant improvements in kernel efficiency, runtime heuristics, and memory allocation, enabling up to 2.4x faster inferencing for businesses relying on quick responses and high throughput in generative AI applications. https://t.co/PQER3yPDs4

[Nader Khalil🍊 @NaderLikeLadder]

NVIDIA silently released the Llama 3.1 70B Instruct Nemotron model which is topping leaderboards. You can try it here:
https://t.co/YKM7PtIvTd

I sat down with one of the researchers to learn how it performed so well and why they built this 🤙

Anything else I should ask him?

[Bethann Noble @bethann_nyc]

🙌 Develop innovative #LLM applications and grow your expertise through resources tailored for developers at all skill levels.

👀 Join our developer community and participate in our latest NVIDIA and LlamaIndex #DevContest ✅ ✨ https://t.co/rejC2lhuXJ

[Bethann Noble @bethann_nyc]

ICYMI: Discover how developers are enhancing their #OpenUSD workflows with NVIDIA NIM Microservices.

See how USD Code, USD Search, and USD Validate are transforming 3D environment creation using #generative AI copilots & agents.
https://t.co/rR4SgQJmIt

[Bethann Noble @bethann_nyc]

📣 Announcing NVIDIA NIM Agent Blueprints, reference applications for every enterprise to make their own #AI. ➡️ https://t.co/f4R3GQ2efY

These equip millions of developers with reference applications for building and deploying #generativeAI use cases. https://t.co/uiBX3cWoBM

[Bethann Noble @bethann_nyc]

🌏 NVIDIA is introducing sovereign AI NIM microservices for Japan and Taiwan, enhancing #generativeAI with four new models to speed up the deployment of regional AI applications. https://t.co/txuGInkXlZ

[Bethann Noble @bethann_nyc]

Learn about the latest NeMo Retriever NIMs and how they enable developers to deploy models with high accuracy. https://t.co/4830c5Duz1

[Bethann Noble @bethann_nyc]

Learn how to achieve the most accurate responses for text Q&A in this upcoming webinar on August 7. https://t.co/m48ooNxHRp

[Bethann Noble @bethann_nyc]

👀 Members of the hashtag#NVIDIA Developer Program now have free access to downloadable NIM microservices for research, development and testing on up to two GPU nodes. 🎉 Get started: https://t.co/N1Brn7qtss

[Bethann Noble @bethann_nyc]

Check out how the world’s first #generativeAI models for #OpenUSD development will be available as NVIDIA NIM microservices. https://t.co/01BI2v17VT

[Bethann Noble @bethann_nyc]

🦙 The new Llama 3.1 models with the new NVIDIA NeMo Retriever NIMs create a powerful #generativeai duo. ➡️ Technical deep dive on how to build an agentic RAG pipeline by the newest NeMo Retriever embedding and reraking NIM microservices. https://t.co/hz5iQ4UQeS

[Bethann Noble @bethann_nyc]

🦙 Learn how to build custom #generativeAI models with Llama 3.1 #LLMs through our NVIDIA AI Foundry in our technical deep dive. https://t.co/qqv9obPpcw

[Bethann Noble @bethann_nyc]

Join @NealVaidya and I as we dive into production #generativeAI and discover strategies for ensuring data security, compliance, and innovation while managing AI #inference at scale. Register for this upcoming webinar on June 18th to learn more. https://t.co/eXTYwhaR0U

[Bethann Noble @bethann_nyc]

Speed time to market and improve TCO by leveraging seamless deployment with NVIDIA NIM, starting with Meta’s Llama 3 70B & 8B, on your preferred cloud service provider, directly accessible from Hugging Face. ➡️ https://t.co/Cfowb8N6WW. https://t.co/ImmNlEDio1