Introducing NVIDIA Nemotron 3.5 Lightning⚡
An open 30B MoE model with 3B active parameters, built for always-on agents to complete high-volume, specialized tasks faster.
It delivers up to 4x the output speed of similar-sized models.
Your LLM endpoint works. But how does it perform when traffic increases?
NVIDIA Dynamo AIPerf helps you measure TTFT, ITL, latency and throughput at scale, then test with realistic traffic patterns you can reliably repeat.
Read the blog: nvda.ws/4hdIeGd
What happens when you give a world model 32 images of a place we know very well?
World Labs put Atlas to the test on Voyager.
Atlas brings text, images, video, and 3D into a shared spatial context, enabling one model to generate new views, reconstruct scenes, and simulate
From 32 input images to real-time flight through @nvidia's Voyager headquarters.
Trained on NVIDIA Blackwell GPUs, Atlas uses these images as 3D spatial context to generate new views, letting you explore with pixel-perfect camera control.
Take a look around.
Images rarely show an object’s full 3D geometry.
At #ECCV2026, our research team introduced Axolotl3D, a multimodal and occlusion-aware 3D generation model. It combines images, camera data and partial geometry to reconstruct missing regions while preserving observed ones,
