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	<title>Nvidia &#8211; Firethering</title>
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	<link>https://firethering.com</link>
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	<title>Nvidia &#8211; Firethering</title>
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		<title>AI Content Got Too Real. Now OpenAI and Nvidia Are Using Google’s Watermarking System.</title>
		<link>https://firethering.com/openai-nvidia-using-google-synthid-ai-watermarking/</link>
					<comments>https://firethering.com/openai-nvidia-using-google-synthid-ai-watermarking/#respond</comments>
		
		<dc:creator><![CDATA[Mohit Geryani]]></dc:creator>
		<pubDate>Sun, 24 May 2026 08:56:56 +0000</pubDate>
				<category><![CDATA[Tech]]></category>
		<category><![CDATA[Trends]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Google]]></category>
		<category><![CDATA[Nvidia]]></category>
		<category><![CDATA[OpenAI]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=7056</guid>

					<description><![CDATA[Three years ago, Google introduced a watermarking system for AI-generated content called SynthID. Nobody was required to use it. It was just Google's answer to a problem the rest of the industry hadn't fully admitted existed yet.

Now OpenAI is using it. So is Nvidia. So are ElevenLabs and Kakao. And Google says SynthID has already been applied to 100 billion images and videos, plus 60,000 years worth of audio.

The timing matters. AI-generated images and video have gotten good enough that the old tells, the extra fingers, the smeared text, the wrong shadows, are mostly gone. What replaces them as a detection method isn't human judgment. It's watermarking inserted into the content at the point of generation, before it ever reaches anyone's feed. SynthID is Google's bet on how that works at scale, and a growing number of the industry's biggest names are now betting alongside it.]]></description>
		
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			</item>
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		<title>NVIDIA Built Nemotron 3 Nano Omni to Handle Everything. Here’s the Catch</title>
		<link>https://firethering.com/nemotron-3-nano-omni-nvidia-omnimodal-model/</link>
					<comments>https://firethering.com/nemotron-3-nano-omni-nvidia-omnimodal-model/#respond</comments>
		
		<dc:creator><![CDATA[Mohit Geryani]]></dc:creator>
		<pubDate>Mon, 04 May 2026 18:59:14 +0000</pubDate>
				<category><![CDATA[Tech]]></category>
		<category><![CDATA[AI Models]]></category>
		<category><![CDATA[Trends]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[AI Agents]]></category>
		<category><![CDATA[Nvidia]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=6567</guid>

					<description><![CDATA[NVIDIA already controls the hardware most AI models run on. Now they want a say in which models run on that hardware too.

Nemotron 3 Nano Omni is their latest move in that direction. It's an omnimodal model that can handle text, images, video, and audio natively in one architecture. 

The 30B total parameter count with 3B active makes it approachable for serious deployment without needing heavy hardware. The architecture underneath it is genuinely unusual. And the benchmark numbers on document intelligence and video understanding are strong enough to take seriously.

But there is a catch. Actually there are a few.]]></description>
		
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		<title>NVIDIA NemoClaw runs OpenClaw inside a secure sandbox and setup takes one command</title>
		<link>https://firethering.com/nvidia-nemoclaw-openclaw-sandbox/</link>
					<comments>https://firethering.com/nvidia-nemoclaw-openclaw-sandbox/#respond</comments>
		
		<dc:creator><![CDATA[Mohit Geryani]]></dc:creator>
		<pubDate>Tue, 24 Mar 2026 13:22:09 +0000</pubDate>
				<category><![CDATA[Tech]]></category>
		<category><![CDATA[Trends]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Nvidia]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=5852</guid>

					<description><![CDATA[NemoClaw is an open source reference stack built by NVIDIA that runs OpenClaw inside a secure sandboxed environment. Think of it as a controlled container where your AI agent can work freely without being able to touch anything it should not.

It is not a replacement for OpenClaw. It is a secure wrapper around it. When you install NemoClaw it actually creates a fresh OpenClaw instance inside the sandbox automatically. The agent still does everything OpenClaw does. It just cannot go rogue while doing it.

NVIDIA released it on March 16 as an early alpha preview under Apache 2.0 license. It is not production ready yet and NVIDIA is upfront about that. Interfaces and APIs may change as they iterate. But it is available now for developers and enterprises who want to start experimenting with safe agent deployment.]]></description>
		
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			</item>
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		<title>NVIDIA&#8217;s Vera Rubin Explains Why Your Current GPU Was Never Built for AI Agents</title>
		<link>https://firethering.com/nvidia-vera-rubin-agentic-ai/</link>
					<comments>https://firethering.com/nvidia-vera-rubin-agentic-ai/#respond</comments>
		
		<dc:creator><![CDATA[Mohit Geryani]]></dc:creator>
		<pubDate>Wed, 18 Mar 2026 08:36:46 +0000</pubDate>
				<category><![CDATA[Tech]]></category>
		<category><![CDATA[Trends]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Nvidia]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=5722</guid>

					<description><![CDATA[Jensen Huang walked onto the GTC stage and said something that did not sound like a chip announcement. He called Vera Rubin "the greatest infrastructure buildout in history." That is a bold claim even for NVIDIA.

But when you look at what Vera Rubin actually is the ambition makes more sense. This is not a faster GPU. It is seven chips designed to work together as one supercomputer, built specifically for a world where AI does not just answer questions but plans, executes, and runs continuously without stopping.

Every GPU you have used until now was designed for training massive models or answering queries fast. Neither of those is the same as running an agent that plans, executes tools, checks its own work and keeps going for hours. Current infrastructure was simply never designed for that workload.

Vera Rubin is NVIDIA's answer to that problem.]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>NVIDIA Nemotron 3 Super Is Here: The 120B Open Model That Ends the Thinking Tax for AI Agents</title>
		<link>https://firethering.com/nvidia-nemotron-3-super/</link>
					<comments>https://firethering.com/nvidia-nemotron-3-super/#respond</comments>
		
		<dc:creator><![CDATA[Mohit Geryani]]></dc:creator>
		<pubDate>Wed, 11 Mar 2026 19:11:11 +0000</pubDate>
				<category><![CDATA[AI Models]]></category>
		<category><![CDATA[Tech]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Nvidia]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=5579</guid>

					<description><![CDATA[Nvidia just dropped a 120B model that only uses 12B parameters at a time.

Take a second with that. You get the reasoning depth of a 120B model. You pay the compute cost of a 12B one. That gap is not a rounding error or a marketing trick. It is the whole point of what Nemotron 3 Super is built to do.

This is not another chatbot release. Nvidia built this specifically for AI agents — systems that plan, call tools, check their own work, and run for hours without a human in the loop. The use case is different. The architecture is different. And if you are building anything with agents in 2026, the timing of this release is hard to ignore.

It's already live. Weights are on HuggingFace. Let's get into what actually makes it interesting.]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Nvidia Is Building NemoClaw, an Open Source AI Agent Platform That Runs on Any Chip</title>
		<link>https://firethering.com/nvidia-nemoclaw-open-source-ai-agent-platform/</link>
					<comments>https://firethering.com/nvidia-nemoclaw-open-source-ai-agent-platform/#respond</comments>
		
		<dc:creator><![CDATA[Mohit Geryani]]></dc:creator>
		<pubDate>Wed, 11 Mar 2026 13:55:27 +0000</pubDate>
				<category><![CDATA[Tech]]></category>
		<category><![CDATA[Trends]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[AI Agents]]></category>
		<category><![CDATA[Nvidia]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=5568</guid>

					<description><![CDATA[The company that sells the chips just built software that runs on everyone else's chips.

Nvidia is reportedly preparing to launch an open source AI agent platform called NemoClaw at GTC 2026 next week in San Jose. People familiar with the plans say the platform will let enterprise companies deploy AI agents across their workforces regardless of whether they run on Nvidia hardware or not.

Nvidia hasn't confirmed anything publicly yet. But the conversations with companies like Salesforce, Cisco, Google, Adobe and CrowdStrike are apparently already happening.]]></description>
		
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