Get the Open World Model Playbook

NVIDIA just open-sourced SANA-WM — a 2.6B-parameter world model that takes one image and a 6-DoF camera trajectory and returns a 60-second 720p video that obeys the path with consistent geometry every frame. Runs on a single RTX 5090 in 34 seconds. Apache 2 license. This is the field playbook: what a world model actually is vs a video model (the distinction every paper conflates), the seven use cases that unlock new product categories (robotic policy training data, AV scenario generation, game environment generation from one concept image, agent RL synthetic environments, sim-to-real bridge, AR/VR scene authoring, cinematics previz), the architecture in plain English (hybrid linear attention with Gated DeltaNet + softmax, dual-branch camera control, two-stage pipeline, three inference variants), the 20-minute install with the exact commands, six trajectory patterns that work (dolly, orbit, exploration, crane, static observation) plus the one that doesn't (whip-pan), six failure modes nobody warns you about (texture drift on long forwards, geometry inconsistency on whip-pans, silent 6-DoF coordinate-convention failures, NVFP4 quantization gotchas, OOM on 24GB cards, lighting flicker) with concrete fixes, and the hardware/cost table across every reasonable GPU (RTX 5090, H100, RTX 4090, A100) including how the cost collapsed from ~$60K of cluster compute to ~$0.04 of consumer GPU power.

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