Today, NVIDIA announced NVIDIA Nemotron 3.5 Lightning, a customizable model for high-volume, specialized work, and NVIDIA NeMo Switchyard, which helps agents…
Today, NVIDIA announced NVIDIA Nemotron 3.5 Lightning, a customizable model for high-volume, specialized work, and NVIDIA NeMo Switchyard, which helps agents route each workflow step across the models they choose. ⚡ http://x.com/i/article/2086968907404095488
Introducing NVIDIA Nemotron 3.5 Lightning⚡ An open 30B MoE model with 3B active parameters, built for always-on agents to complete high-volume, specialized…
Introducing NVIDIA Nemotron 3.5 Lightning⚡ An open 30B MoE model with 3B active parameters, built for always-on agents to complete high-volume, specialized tasks faster. It delivers up to 4x the output speed of similar-sized models.
RT by @AMD: A few highlights from AMD Advancing AI 2026 🎥 We caught up with Raime Roane from @AMD, Junchen Jiang from @tensormesh, Emilio Andere from @wafer_ai, and Mingshou Liu from @EdgecoreNetwork for some quick conversations on AI, infrastructure, and what they’re excited about next. Plus, a look back at some of our favorite moments from the event. Check out the recap 👇
gpt luna max vs claude fable ultracode sent "pls build a mostly faithful clone of grok imagine with open models via fal" i woke up to these two and assumed fable was left and luna was right i was wrong... it was the other way!! objectively, fable did the better visual clone. but luna somehow understood intent better and created the more USABLE clone given my open model bent.
R to @NVIDIAAI: As always, NVIDIA Nemotron 3.5 Lightning is open and customizable. This includes weights, data and recipes. Available now on @huggingface 🤗 →…
R to @NVIDIAAI: As always, NVIDIA Nemotron 3.5 Lightning is open and customizable. This includes weights, data and recipes. Available now on @huggingface 🤗 → https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4
R to @NVIDIAAI: Not every step in an agent workflow needs the same model. That’s why we’re also releasing NVIDIA NeMo Switchyard, a new open source library for model routing. Use frontier models for complex reasoning and planning, and Lightning for high-volume, specialized execution. Learn more: https://nvda.ws/457eK7l
R to @NVIDIAAI: Long-running agents spend most of their time executing: calling tools, validating results and delegating work. Nemotron 3.5 Lightning is built…
R to @NVIDIAAI: Long-running agents spend most of their time executing: calling tools, validating results and delegating work. Nemotron 3.5 Lightning is built for this high-volume execution, at a size that can run anywhere from an NVIDIA DGX Spark to the data center. See it running agentic workflows on DGX Spark and read the technical breakdown: https://nvda.ws/4heK23m
R to @NVIDIAAI: Lightning is built to specialize. Post-train Nemotron 3.5 Lightning with NVIDIA NeMo for your domain data, tools, workflows and policies.…
R to @NVIDIAAI: Lightning is built to specialize. Post-train Nemotron 3.5 Lightning with NVIDIA NeMo for your domain data, tools, workflows and policies. Across cybersecurity, coding, legal and energy tasks, post-training improves accuracy for specialized work.
R to @NVIDIAAI: Lightning pairs strong accuracy with speed. On PinchBench, it reaches 86% accuracy while completing 10,000 tasks 35% faster than Qwen3.6 35B at…
R to @NVIDIAAI: Lightning pairs strong accuracy with speed. On PinchBench, it reaches 86% accuracy while completing 10,000 tasks 35% faster than Qwen3.6 35B at similar accuracy.
NVIDIA 宣布與六家領先的長期資本提供者合作，建立獨立的融資平台，旨在動員超過 5000 億美元的第三方資本，幫助客戶大規模使用 AI 計算
一龍馬判讀
這項合作將有助於加速 AI 計算的發展和應用，對於企業和研究機構來說，這是一個重要的機遇
原文節錄
NVIDIA · @NVIDIA
NVIDIA compute is a productive, investable asset. We’re partnering with six of the world’s leading long-term capital providers to establish independent…
NVIDIA compute is a productive, investable asset. We’re partnering with six of the world’s leading long-term capital providers to establish independent financing platforms aimed at mobilizing over $500B of third-party capital — helping customers access AI compute at scale. Jensen shares more:
R to @swyx: btw pdb envs have an experimental AFS clone support that basically does what all of you are suggesting but runtime agnostic and language agnostic https://pdb-env-research.swyxio.workers.dev/ we shall replace git by making every single command "agent native"
