Most people still think of NVIDIA as the company that sells the chips everyone else uses to build AI.
That picture is now badly out of date.
This week NVIDIA shipped a model called Nemotron 3 Nano Omni. It reads documents, looks at images, watches video, and listens to audio. All in one model. Runs up to 9x faster than other open models doing the same job. Free to download. Runs on your own servers.
NVIDIA is no longer just selling the shovels. They're selling the gold too.
What Actually Changed
Most AI products today that handle more than just text are stitched together from pieces. One service for documents. Another for images. A third for transcribing calls. A fourth for video. A fifth to glue it all together.
Every handoff costs you money, time, accuracy. User waits longer. Bills add up. When something breaks, nobody knows which piece caused it.
Nemotron does all of it inside one model. Text, images, video, audio. One brain, one bill, one response.
9x faster is not a small number. Concretely: an AI feature that costs 1 lakh a month becomes around 11k. A customer waiting 8 seconds waits under 1.
Why Founders Should Care
Two things.
Your AI economics just got better. Until now, building anything multimodal meant juggling multiple models from different providers. One for vision, another for speech, a third for reasoning. Different bills, different APIs, different failure points. Nemotron lets you stick with one model that handles everything, which is simpler to build, simpler to maintain, and significantly cheaper to run.
Your data stays yours. Run this model on your own servers. Nothing leaves your premises. No third party sees your customer's documents, calls, or videos. For anyone in finance, healthcare, legal, or dealing with DPDP compliance, this is a meaningful unlock.
What It Looks Like in Practice
Imagine you run an insurance company. A claim comes in with photos of damage, a PDF of the policy, a recorded call with the customer, and a video of the accident scene. Today that takes a human reviewer hours and three different tools.
With Nemotron you build one agent that looks at everything together, understands the full context, drafts an assessment in under a minute. The reviewer goes from doing the work to checking the work.
Same pattern works for legal review, customer support, content moderation, compliance audits. Anywhere humans currently juggle multiple inputs to make one decision.
The Bigger Picture
NVIDIA's Nemotron family has been downloaded over 50 million times in the past year. This release pushes them firmly into territory that used to belong to the big closed model providers.
Combine that with what Xiaomi and DeepSeek shipped recently, and the open AI ecosystem is now genuinely competitive on capability, not just price.
If your team hasn't looked at running open models in production, the math has shifted enough that it's worth a serious conversation.