Nvidia CES 2026 keynote LIVE — I’m tracking all the big news from Jensen Huang on AI, robotics and more

(Image credit: Future)

The Rubin GPU is here for data centers of the future, and it’s packing up to 5X increased performance over Blackwell, while only having 1.6x more transistors. And it doubles with extreme co-design with two separate GPU chips on the die.

(Image credit: Future)

We have company! BDX droids from Star Wars have just enter from stage left, and they’re entirely autonomous — trained on Nvidia Cosmos and following everything Jensen has been saying on stage.

He’s having a rather fun conversation with the Droids!

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It’s been rated the world’s safest car by the automotive bodies. It’s heading to manufacturing, and launching in the US in Q1! The Nvidia car is real after eight long years!!

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Introducing Alpamayo — this is a breakthrough open source model for self-driving cars. Instead of being trained on data and driving reactively, this model is able to use reasoning at lighning quick times to be proactive.

As you may know, reasoning models usually generate the best answer for being more well thought-out — this coming to self-driving is significant, and it was just shown off with a driving demo across San Francisco.

(Image credit: Future)

The key to it is synthetic data — pretrained on data to create 3D simulations and continue learning. This synthetic data can be created from images, text descriptions or telemetry video.

Rather than relying on very slowly training physical AI in the real world, the computational power of a GPU can render hundreds of thousands of scenarios to train robots and self-driving cars so much faster.

(Image credit: Future)

Full self-driving and robotics is something that Nvidia has aimed for over 8 years, and with Cosmos Ai training on the physical world, the Thor inference chip for Gr00t robotics, and RTX Pro simulation training AlpaMayo, this triple threat in the omniverse is the key to physical AI.

(Image credit: Future)

Running locally on your own devices or on cloud compute models, Nvidia blueprints can be used to easily create AI applications. While Nvidia is clearly aiming for B2B sales with this (Crowdstrike, Netapp, etc), this model using Hugging Face to make a robot multi-modally aware and have a memory is an adorable application for the home!

(Image credit: Future)

Nvidia’s open models are catching up to the frontier and topping leaderboards in OCR recognition, PDF reading, natual language searching and more. On top of that, its agents are multi-model, multi-model and works hybridly across cloud compute models.

Simply put, Nvidia’s made AI agents that are plug-and-play into other applications.

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This comes off the back of Team Green building billions of dollars of AI supercomputers (DGX Cloud), this has led to Nvidia building a huge model of open ecosystems for every purpose across biomedical, Agentic (Nemotron) Cosmos physical AI, Gr00t for Robotics and for autonomous vehicles to boot.

As you can see, Nvidia leads the way in number of open models.

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Shiny jacket = a happy Jensen with a lot to announced. But on a serious note, we’re diving headfirst into the success of Nvidia in scaling AI, making it Agentic, learning laws of nature and more.

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Starting with gameplay footage from Virtua Fighter and more (swear someone from Nvidia threw that in because I said don’t expect gaming), we’re seeing impressive use cases.

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Things are smooth sailing for Nvidia right now. Normally there’s a bit of a dip before Team Green events, but things are remaining steady. There must be a lot of excitement for what’s to come

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Coming from Nottingham, you best believe there’s a particular team I shout for. Not only do people not know Forest, they didn’t even think it wasa football shirt. Ball knowledge is woeful here — so I’m going to bore my neighbours with a full story of the team’s legendary Premier League promotion in 2022.

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Kinda unsurprising (given RTX 5090 got all of about 12 minutes of last year’s show). Don’t expect Jensen to talk about RTX PC gaming during this keynote. AI and robotics will probably be the key focus here.

Plus, GeForce is getting its own update at 9pm PT! So check back in with this live blog and I’ll show you everything PC gaming-wise!

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Nvidia Cosmos has been shown a lot of times over the past Nvidia GTC events, so I anticipate you’ll see much more about this tech — maybe some car company updates?

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Nvidia is a $5T company, and a lot of its huge value comes from being the picks and shovels company in the AI gold race. So I anticipate the party continues in being told about the future of AI and Robotics — maybe more company partnerships and new data center deployments.

(Image credit: Future)

I’m here in the front row after a chaotically huge queue to get into what is easily the biggest event of CES 2026 — the Nvidia keynote.

Let me take you through what you can expect to see!