Masterfully crafted. Powerfully engineered.Join NVIDIA's @GeForce_JacobF for a closer look at the new @Dell XPS 16 laptop & an upcoming compact desktop powered by the NVIDIA RTX Spark superchip.
0:48
x.comNVIDIA RTX Spark
Masterfully crafted. Powerfully engineered.Join NVIDIA's @GeForce_JacobF for a closer look at the new @Dell XPS 16 laptop & an upcoming compact desktop powered by the
NVIDIA RTX Spark (@NVIDIARTXSpark). 61 likes 9 replies. Masterfully crafted. Powerfully engineered.Join NVIDIA's @GeForce_JacobF for a closer look at the new @Dell XPS 16 laptop & an upcoming compact desktop powered by the NVIDIA RTX Spark superchip.
7.3K views1 week ago
Shorts
Join NVIDIA's @GeForce_JacobF as we check out the new @ASUS ProArt P16 & P14 laptops, powered by the RTX Spark superchip. 🔥💻 P16: 16" 4K 120Hz OLED💻 P14: 14" 3K 120Hz OLED✨ ASUS Lumina Pro touchscreens (1600 nits!)🤫 Triple heat pipe cooling at just ~40 dBWhich one are you picking? 👇
1:14
2.9K views
Join NVIDIA's @GeForce_JacobF as we check out the new @ASUS
NVIDIA RTX Spark
We took a 30B model and split it in two to write tokens in parallel instead of one at a time.Introducing Nemotron-Labs-TwoTower: a diffusion language model from NVIDIA Research adapted from Nemotron-3-Nano-30B-A3B. Here’s how it works: one half holds the context, the other writes the tokens, with both reusing the pretrained model instead of training a new one from scratch.We found it kept 98.7% of the original model’s quality at 2.42× faster generation.
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753.6K views
We took a 30B model and split it in two to write tokens in parallel instead of one at a
NVIDIA AI
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RTX Spark laptops are Game Ready, featuring support for: 🟢 The full DLSS suite + ray tracing🟢 Reflex 🟢 G-SYNC+ More NVIDIA gaming features, all packed into a slim design.
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RTX Spark laptops are Game Ready, featuring support for: 🟢 The full DLSS suite + ray tracing🟢 Reflex 🟢 G-SYNC+ More NVIDIA gaming features, all packed into a slim design.
x.comNVIDIA RTX Spark
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x.comNVIDIA RTX Spark
Everything to know about RTX Spark in less than 90 seconds:- Personal AI agents- Faster creator workflows- RTX ON gamingAll in thin and light laptops, and SFF desktops.
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x.comNVIDIA RTX Spark
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Join NVIDIA's @GeForce_JacobF as we check out the new @ASUS ProArt P16 & P14 laptops, powered by the RTX Spark superchip. 🔥💻 P16: 16" 4K 120Hz OLED💻 P14: 14" 3K 120Hz OLED✨ ASUS Lumina Pro touchscreens (1600 nits!)🤫 Triple heat pipe cooling at just ~40 dBWhich one are you picking? 👇
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Join NVIDIA's @GeForce_JacobF as we check out the new @ASUS ProArt P16 & P14 laptops, powered by the RTX Spark superchip. 🔥💻 P16: 16" 4K 120Hz OLED💻 P14: 14" 3K 120Hz OLED✨ ASUS Lumina Pro touchscreens (1600 nits!)🤫 Triple heat pipe cooling at just ~40 dBWhich one are you picking? 👇
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x.comNVIDIA RTX Spark
We took a 30B model and split it in two to write tokens in parallel instead of one at a time.Introducing Nemotron-Labs-TwoTower: a diffusion language model from NVIDIA Research adapted from Nemotron-3-Nano-30B-A3B. Here’s how it works: one half holds the context, the other writes the tokens, with both reusing the pretrained model instead of training a new one from scratch.We found it kept 98.7% of the original model’s quality at 2.42× faster generation.
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We took a 30B model and split it in two to write tokens in parallel instead of one at a time.Introducing Nemotron-Labs-TwoTower: a diffusion language model from NVIDIA Research adapted from Nemotron-3-Nano-30B-A3B. Here’s how it works: one half holds the context, the other writes the tokens, with both reusing the pretrained model instead of training a new one from scratch.We found it kept 98.7% of the original model’s quality at 2.42× faster generation.
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This represents a huge swath of the AI community. I’m glad to see more creators and users focusing on it. Sure, we all love the NVIDIA RTX PRO 6000 Blackwell with its 96 GB of GDDR7 VRAM, the rumored Mac Studio M5 Ultra with 768 GB of RAM, and the other high-end gear, just like we love Ferraris, McLarens, and Lamborghinis.But the reality for most is closer to an old Honda Civic. To attract more people, young and old, of modest means, who want to run local models on their own limited rigs, we nee
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This represents a huge swath of the AI community. I’m glad to see more creators and users focusing on it. Sure, we all love the NVIDIA RTX PRO 6000 Blackwell with its 96 GB of GDDR7 VRAM, the rumored Mac Studio M5 Ultra with 768 GB of RAM, and the other high-end gear, just like we love Ferraris, McLarens, and Lamborghinis.But the reality for most is closer to an old Honda Civic. To attract more people, young and old, of modest means, who want to run local models on their own limited rigs, we nee
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Elevate your @ComfyUI video outputs this fall. 🚀Launching with RTX Spark, RTX Video Frame Generation arrives as a ComfyUI node and Python wheel.Multiply frame rates to turn choppy 15-20 fps outputs into smooth, high-quality playback.
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Elevate your @ComfyUI video outputs this fall. 🚀Launching with RTX Spark, RTX Video Frame Generation arrives as a ComfyUI node and Python wheel.Multiply frame rates to turn choppy 15-20 fps outputs into smooth, high-quality playback.
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Get a performance upgrade… on the hardware you already own. ✨✨Harness the power of a GeForce RTX rig in the cloud, giving you instant access to over 4,500 titles on nearly any device.Deal ends soon ➡️ https://t.co/oWls6qj6aB
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Physical AI Day is coming to #SIGGRAPH2026. 🤩Learn how NVIDIA research is advancing physical AI for robotics, autonomous vehicles, and industrial digital twins.Don't miss sessions including:👉 OpenUSD for AI Agents, Model-Driven Workflows, and 3D Graphics Pipelines👉 Building SimReady 3D Worlds for Physical AI👉 Career Growth in Physical AI: Bringing 3D Graphics Skills into Robotics and Digital TwinsLearn more:
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