NVIDIA AI Developer
@NVIDIAAIDev
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All things AI for developers from @NVIDIA. Additional developer channels: @NVIDIADeveloper, @NVIDIAHPCDev, and @NVIDIAGameDev.
Santa Clara, CA
Joined June 2017
⚡ We just accelerated output of @OpenAI’s gpt-oss-120B by nearly 2x 👀. In collaboration with @ArtificialAnlys, we demonstrated impressive performance of OpenAI's gpt-oss-120B on a DGX B200 system with 8xB200:. ⚡️ Nearly 900 output tokens/s in single query tests.⚡️ Close to 600
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RT @NVIDIARobotics: This might just be the worst unboxing video ever. Don't miss the full reveal on 8.25.25. 👀
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In this week's newsletter, we're taking you inside NVIDIA Blackwell Ultra and looking at the #opensource innovations shaping AI. Subscribe for weekly updates 👇.
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RT @nvidia: #SparkSomethingBig 💫 Trivia Time:. What architecture is the NVIDIA DGX Spark powered by?.
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ICYMI: 👀 Attendees at #SIGGRAPH2025 got a sneak peek of the GB10 Grace Blackwell Superchip powering the NVIDIA DGX Spark . and were surprised at how small, and how powerful it is for running AI workloads. #SparkSomethingBig 💫
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Take a video of your favorite trail and turn it into a coherent 3D world with LongSplat 🤳⛰️ . Our model reconstructs scenes from any casual long video without camera calibration and renders high-quality novel views from any point along your path. Try it for yourself ➡️
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🏎️ Accelerate your AI workflow with open source models, frameworks, and datasets—all optimized for our full-stack accelerated platform. Whether you’re scaling LLMs, robotics, or optimization pipelines, our ecosystem is open and ready for you to build, iterate, and deploy
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Introduction of TensorRT-LLM Engineering Baseline Work making TensorRT-LLM developer more efficient
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Explore more with our Deployment Guide: Running a High Performance GPT-OSS-120B Inference Server with TensorRT-LLM ➡️
github.com
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and support state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorR...
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Ready to scale your agent evaluation workflows?. Watch this step-by-step video and learn how you can scale LLM-as-a-Judge with NVIDIA NeMo Evaluator:. ✅Install the NVIDIA NIM Operator.✅Set up LLM-as-a-Judge with NeMo Evaluator using Docker compose.✅Scale your workflow to
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Beyond the Algorithm with NVIDIA: NVIDIA NeMo Agent Toolkit Connects MCP tools and NVIDIA NIM for Building Optimized Agentic Systems
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✨Just released: NVIDIA Nemotron post-training multi-lingual dataset ✨. We expanded permissive post-training dataset with addition of synthetically translated reasoning traces. ✋ Five new languages.💪 World class reasoning traces. 🤗 Learn more: 📥
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Introduction of inference time compute support in TensorRT-LLM
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RT @MariyaSha888: Degrees give you theory. Employers want practical skills. How do you bridge this gap. if no one has hired you yet? 🙃. S….
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✅ Half a million downloads? No big deal. #NVIDIACosmos Reason — an open, customizable, 7B-parameter VLM — is helping shape the future of physical AI & robotics. 🤖 . See why it's one of the top 10 most downloaded NVIDIA models on @huggingface right now ➡️
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RT @jonstephens85: The affect of the movement distance modifier on @NVIDIAAIDev's GEN3C. Default 0.3, 0.6, and 1.2. #Computervision #AI #G….
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Conventional RL fine-tuning caused transient, unstable results. Using ProRLv2, I implemented prolonged RL schedules, cross-domain loss regularization, KL trust regions, and global normalization—ensuring persistent, high fidelity reasoning improvements. Explore this new frontier.
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