Rebuilding the AI Stack for the Era of World Models
The AI stack was built for language models. We’re rebuilding it for world models.
AI is entering a new era. Models are evolving from understanding and generating text to understanding and simulating the world itself—its geometry, physics, causality, dynamics, and interactions.
But while the models have changed, the infrastructure has not. Today’s training and inference stack was designed for autoregressive language models. World models are fundamentally different. They process and generate images, video, audio, actions, and 3D environments, often using diffusion-based architectures that demand orders of magnitude more compute and fundamentally different execution patterns. They require a new foundation.
Our team has spent years building AI infrastructure at Fireworks AI, Verkada, Snowflake, Meta, Google, and Microsoft, where we experienced firsthand how every major leap in AI has demanded a new infrastructure. We believe world models are no different. That’s why we’re building TensorScale.
A purpose-built stack will deliver unprecedented speed, efficiency, and scalability to unlock experiences that were previously impossible or prohibitively expensive to build.
Real-Time Interactive Worlds
Instead of generating static content, we will create living, interactive worlds in real time. Visual AI assistants, immersive experiences, and entirely new forms of creativity will become as accessible as opening an app. Any world you can imagine will be just a tap away.
Robotics
The biggest bottleneck in robotics is diverse, real-world experience. Collecting it is slow, expensive, and constrained by physics. Large-scale, efficient world model inference changes that by enabling robots to learn from virtually unlimited simulated experiences, explore scenarios impossible in the physical world, and compress years of learning into days.
These are only the first applications we can imagine. We believe a fast, efficient infrastructure will power creativity, robotics, scientific discovery, education, and entirely new categories of applications that don’t exist yet.
This is the beginning of the era of world models. We are incredibly excited to build the infrastructure that powers it. Come build with us.