DocKant / Stéphane Quentin (@DocKantGPU) header
DocKant / Stéphane Quentin (@DocKantGPU) profile picture

In love/passion with GPU since 1993 - Senior PR Manager @NVIDIA France. It's about simulation, hardware acceleration, AI. All opinions and typos are mine.

Joined July 2014
Photo by DocKant / Stéphane Quentin (@DocKantGPU)Photo by DocKant / Stéphane Quentin (@DocKantGPU)Photo by DocKant / Stéphane Quentin (@DocKantGPU)Photo by DocKant / Stéphane Quentin (@DocKantGPU)Photo by DocKant / Stéphane Quentin (@DocKantGPU)Photo by DocKant / Stéphane Quentin (@DocKantGPU)Photo by DocKant / Stéphane Quentin (@DocKantGPU)
DocKant / Stéphane Quentin retweeted
From CUDA to Crysis, it's time to celebrate the legendary GeForce 8800 GTX! Relive the 2006 unboxing experience in GeForce 8800 GTX - 20 Years of a Legend, developed by Dylan Browne and featuring NVIDIA DLSS 4.5 and path tracing. Learn more: nvda.ws/47YEkgc
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DocKant / Stéphane Quentin retweeted
Your next creative collaborator could run locally on RTX Spark.🎨 Join us at Adobe MAX session S6712 to learn how a local creative agent can connect Photoshop and ComfyUI, helping turn sketches into photorealistic renders and still images into video. 📅 Wednesday, Nov. 11 | 12:15–1 PM EST 📍 Miami Beach Convention Center
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DocKant / Stéphane Quentin retweeted
Live the unwritten in Hogwarts Legacy with NVIDIA DLSS 5. The latest update adds DLSS 3D-Guided Neural Rendering. #RTXOn → nvda.ws/4AA5ian
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DocKant / Stéphane Quentin retweeted
New quests. New adventures. One legendary launch week. ⚔️✨ Hogwarts Legacy gets NVIDIA DLSS 5 with 3D-Guided Neural Rendering, World of Warcraft: Forever arrives on GFN with access to play during release week, Nov. 4–11. Plus, The Division 2: Echoes of Central Park, and Anno 117: Pax Romana – Dawn of the Delta are now streaming on GeForce NOW 👉 nvda.ws/48wDbg2
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DocKant / Stéphane Quentin retweeted
Develop AI for robots, vehicles, and edge systems on NVIDIA DGX Spark 64GB. ⚡ Run models in just a few commands with TensorRT Edge-LLM, using the same inference framework to develop on DGX Spark and deploy on embedded devices.
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DocKant / Stéphane Quentin retweeted
Next stop: Adobe MAX. 🟢 We’re bringing RTX Spark and local AI along for the ride. Join us November 10–12 in Miami Beach and stop by our booth (#​500) to get hands on & create with RTX Spark!
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DocKant / Stéphane Quentin retweeted
DLSS 5 comes to more games on RTX Spark this month: 🟢 Hogwarts Legacy - Nov 5th 🟢 War Thunder - Mid-Nov 🟢 Where Winds Meet - Nov 23rd
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DocKant / Stéphane Quentin retweeted
DLSS 5 comes to more games this month: 🟢 Hogwarts Legacy - Nov 5th 🟢 War Thunder - Mid-Nov 🟢 Where Winds Meet - Nov 23rd Learn more: nvda.ws/3UvLvJt
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DocKant / Stéphane Quentin retweeted
What got @ComfyUI’s creator into PCs? For Yannik Marek, it was video games on an old CRT monitor. Today, his curiosity & experimentation is powered by NVIDIA RTX Spark. #ShareYourSpark
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DocKant / Stéphane Quentin retweeted
llama.cpp now has a Windows app 🦙 Llama Windows makes it easy to run models locally, with optimizations for NVIDIA RTX Spark. 📥 Browse and download models from Hugging Face 💬 Chat with local models right from your system tray 🔒 Keep your prompts on your PC
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DocKant / Stéphane Quentin retweeted
Complex transcription just got easier with NVIDIA Nemotron 3.5 Transcribe. 🎙️ Transcribe, translate, and identify speakers locally on RTX Spark and DGX Spark systems.
Meet NVIDIA Nemotron 3.5 Transcribe 🎙️ An open-weight, promptable 30B MoE model with ~4B active parameters that brings transcription in 40 languages, speaker attribution, translation, contextual prompting and audio understanding into one checkpoint. Watch it keep track of who said what when everyone’s talking at once. 1/ 🧵
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DocKant / Stéphane Quentin retweeted
Congrats @MistralAI team on the next gen Le Chonk! 🙌 1T-parameter MoE multimodal model trained from scratch on 3,800 NVIDIA Grace Blackwell GPUs. Our day 0 support: NVFP4 on @huggingface → huggingface.co/mistralai/Mis… Scale distributed inference using performance-optimized Dynamo → docs.nvidia.com/dynamo/recip…
Today, we release the weights of a new and improved Le Chonk, advancing the open frontier for agentic coding and cybersecurity. 💻 Built to build: Le Chonk ranks #1 on @cognition’s FrontierCode among open models, and sets a new benchmark for Pareto efficiency on @artificialanalysis. 🛡 Built to defend: State-of-the-art in cyberdefense, put through the paces by the world's leading cyber vendors, including @CrowdStrike, @cloudflare, @rubrik, @zscaler, and others. Built for sovereignty: Make it yours. Download the weights on @huggingface , customize it with Mistral Forge, and deploy it wherever you need it. Read more from our team and customers 👇:
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DocKant / Stéphane Quentin retweeted
Transform your Minecraft worlds with path tracing and DLSS with RTX Remix 1.6 - Available Now for RTX Spark.
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DocKant / Stéphane Quentin retweeted
Your RTX Spark update just dropped. 👀 🟢 Transcribe and translate complex audio with NVIDIA Nemotron 3.5 Transcribe 🟢 Run @liquidai’s new LFM3 models locally 🟢 Resource management controls in NVIDIA App 🟢 Jump into new games and RTX Remix updates
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DocKant / Stéphane Quentin retweeted
Introducing 𝙻𝙵𝙼𝟹: our new generation of Liquid Foundation Models. With a new tri-hybrid architecture and new multimodal encoders, the LFM3 family is the ideal model suite for specialized intelligence. > 6 model instances, across text, audio, vision, and omni modalities, generative and decision models. > 𝙻𝙵𝙼𝟹-𝟷.𝟽𝙱: text, 256k context window. > 𝙻𝙵𝙼𝟹-𝚅𝙻-𝟸𝙱: vision-language model with video-input support for spatial understanding > 𝙻𝙵𝙼𝟹-𝙰𝚞𝚍𝚒𝚘-𝟸𝙱: tool calls, voice chat, reasoning in 18 languages. > 𝙻𝙵𝙼𝟹-𝙾𝚖𝚗𝚒-𝟸𝙱: an omni model combines vision, audio, and language. > 𝚍𝟷-𝟸𝙱 and 𝚍𝟷-𝙾𝚖𝚗𝚒-𝟸𝙱: decision models with typed outputs and calibrated probabilities in a single pass. Omni adds audio input. > fine-tune on 1 GPU. > a new tri-hybrid architecture > architecture optimized for 14 processor classes across GPUs, CPUs, and NPUs. > 𝙻𝙵𝙼𝟹-𝚅𝙻-𝟸𝙱 is a beast. It performs competitively with Gemma 4 12B (6x larger), and Gemini 3.5 Flash Lite, and GPT-5.6 Luna, with 1.9B parameters. > 𝙻𝙵𝙼𝟹-𝟷.𝟽𝙱 is #1 on the Pareto frontier of device intelligence 𝚙𝚒𝚙𝚎𝚝𝚝𝚎.𝚕𝚒𝚚𝚞𝚒𝚍.𝚊𝚒 Every modality for specialized intelligence. Pick the one that fits your use case, customize it, and run it on-device. 1/ 🧵
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DocKant / Stéphane Quentin retweeted
💚 Microducks
From prompt → to sim → to Jensen’s GTC stage. 🦆 Microduck is a 25 cm open-source robot you can train yourself with Isaac Lab. See how 👀⤵️
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DocKant / Stéphane Quentin retweeted
Lock in. Load out. Drop into the cloud. ☁️🔥 Ready up, squad, @CallofDuty: Modern Warfare 4 is now streaming on GeForce NOW. 🎮
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DocKant / Stéphane Quentin retweeted
Neon on the hood. Unfinished business across town. Get back behind the wheel with Cyberpunk 2077’s Edgerunners 2 Update, enhanced with DLSS 4.5. 🎥: @CROWNED_YT
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DocKant / Stéphane Quentin retweeted
Built small. Built to specialize. ⚡ Congrats to @liquidai on LFM3! Compact, efficient models for text, vision, audio and more. Run them locally on your favorite NVIDIA hardware.
Introducing 𝙻𝙵𝙼𝟹: our new generation of Liquid Foundation Models. With a new tri-hybrid architecture and new multimodal encoders, the LFM3 family is the ideal model suite for specialized intelligence. > 6 model instances, across text, audio, vision, and omni modalities, generative and decision models. > 𝙻𝙵𝙼𝟹-𝟷.𝟽𝙱: text, 256k context window. > 𝙻𝙵𝙼𝟹-𝚅𝙻-𝟸𝙱: vision-language model with video-input support for spatial understanding > 𝙻𝙵𝙼𝟹-𝙰𝚞𝚍𝚒𝚘-𝟸𝙱: tool calls, voice chat, reasoning in 18 languages. > 𝙻𝙵𝙼𝟹-𝙾𝚖𝚗𝚒-𝟸𝙱: an omni model combines vision, audio, and language. > 𝚍𝟷-𝟸𝙱 and 𝚍𝟷-𝙾𝚖𝚗𝚒-𝟸𝙱: decision models with typed outputs and calibrated probabilities in a single pass. Omni adds audio input. > fine-tune on 1 GPU. > a new tri-hybrid architecture > architecture optimized for 14 processor classes across GPUs, CPUs, and NPUs. > 𝙻𝙵𝙼𝟹-𝚅𝙻-𝟸𝙱 is a beast. It performs competitively with Gemma 4 12B (6x larger), and Gemini 3.5 Flash Lite, and GPT-5.6 Luna, with 1.9B parameters. > 𝙻𝙵𝙼𝟹-𝟷.𝟽𝙱 is #1 on the Pareto frontier of device intelligence 𝚙𝚒𝚙𝚎𝚝𝚝𝚎.𝚕𝚒𝚚𝚞𝚒𝚍.𝚊𝚒 Every modality for specialized intelligence. Pick the one that fits your use case, customize it, and run it on-device. 1/ 🧵
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DocKant / Stéphane Quentin retweeted
I was the opening act for a family of ducks. Thank you, Berlin. What a GTC. Europe is building its AI ecosystem and economy, from AI factories to agents to robots. DSX POD: Vera Rubin modular factories built, cabled and tested in the factory, then delivered ready to produce intelligence. Agents: models, harnesses, sandboxes, knowledge and tools. NVIDIA Agent Toolkit brings the pieces together so companies control what their agents know, access and do.  NVIDIA OpenShell enhances safety. Physical AI: new customers across AI-RAN, robotaxis and robotics. Personal AI: after four years building with Microsoft, RTX Spark brings personal agents to the Windows PC. Thank you to President @EmmanuelMacron, Prime Minister @andyburnham and Chancellor @bundeskanzler for hosting me. Great to celebrate Sferical One with Sweden’s technology leaders. And thank you to President @TokayevKZ for the warm welcome. And to our partners and NVIDIA teams: thank you for making it happen. The keynote is here: youtu.be/rF1EsryCAwc
Microducks on stage for Jensen Huang’s famous keynote! We couldn’t be prouder of our little ones. 🥹
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