Bryan Catanzaro (@ctnzr) / X

I'll be attending #NVIDIAGTC Berlin and talking about open technologies for AI. I’ll be sharing how we build NVIDIA Nemotron models - from architectures, training data, and weights to post-training recipes and evaluation - and how you can inspect, adapt, and deploy them for

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DLSS 4.5 Ray Reconstruction is out! We built a second generation joint denoiser/superresolution model, and it has much better image quality for the same compute cost. AI keeps pushing the Pareto frontier of IQ and rendering cost.

The Best DLSS 4.5 Update Yet - Ray Reconstruction

NVIDIA 💚AWS We’re announcing a major expansion to our partnership with AWS. More GPUs, better integration with AWS, and more collaboration on everything from NVLink to Amazon Bedrock. Nemotron models have benefited greatly from AWS infrastructure and I am so glad to see us

NVIDIA Newsroom

@nvidianewsroom

Aug 26

NVIDIA and @awscloud are expanding the partnership across the full stack — GPUs, CPUs, networking, open models and software — to make agentic and physical AI real at a pace and scale that only we can deliver together. What that looks like: ➡️ 2 million additional NVIDIA GPUs

Can't wait to use Vera Rubin + Groq 3 LPX to train some awesome Nemotron models!

With Groq 3 LPX in Full Production, NVIDIA Extends Vera Rubin Inference for Agents

From blogs.nvidia.com

Building AI is a huge distributed systems challenge. To post-train NVIDIA Nemotron, we bring data generation, inference, reinforcement learning, and evaluation into one loop across CPUs and GPUs. I’ll be speaking about how we do this using Ray during the Ray Summit. August 26

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