Editor's note: Generative AI startups are moving rapidly beyond static clip generation to build interactive, real-time worlds. In this technical deep dive, we explore how AI startup Visko collaborated with Google Cloud TPU engineers to deploy Orbis — its continuously streaming Live World Model—on Cloud TPUs, going from initial kickoff to production handover in just 30 days.

What makes a live video world model so challenging to serve in production? The bottleneck isn't average throughput — it's beating a relentless real-time clock. Unlike offline video generators where a user submits a prompt and waits in a queue, a live world model streams continuously. Every new chunk of video and synchronized audio must finish rendering before the viewer finishes watching the previous one, or the world freezes.

Today, we're excited to share how Visko , an AI startup pioneering interactive world models, teamed up with Google Cloud to solve this exact challenge. Working side by side, Visko and Google Cloud engineers deployed Visko's end-to-end live inference pipeline — combining video generation, super-resolution upscaling, and synchronized audio—onto a single Cloud TPU slice . Together, the teams brought end-to-end generation down, rendering at 1.07x playback speed.

Here is an inside look at how we engineered the pipeline to hit that milestone in a single month, the architectural optimizations that moved the needle, and practical lessons for other startups building ultra-low-latency generative AI on Google Cloud.

While most generative video platforms focus on rendering fixed, pre-baked clips, Visko is building what it calls Live Models : video world models that generate continuously and respond on the fly.

Visko's flagship model, Orbis , streams live video starting from a single text or image prompt. As the stream plays, viewers can enter new steering prompts in real time, dynamically evolving the scene without restarting or breaking continuity. For instance, in one test session, the livestream opens on a cat napping beside a crackling fireplace; when the viewer steers the scene to introduce a bowl of food, the bowl materializes seamlessly, and the cat stretches, stands up, and meows.

Since launching its public demo on September 1, 2026, Orbis has unlocked new possibilities across interactive entertainment, live commerce, AI companions, immersive education, and robotics simulation. To scale these interactive sessions reliably, Visko partnered with Google Cloud TPU engineers in August 2026 to port the Orbis live pipeline to Google's Tensor Processing Unit (TPU). Within 30 days, the full multimodal pipeline was running in real time on TPUs.

Visko’s ambition is to power a new generation of interactive worlds that people can step into and shape in real time. Streaming continuous video and audio under a strict clock is a fundamentally different system challenge than offline clip generation. Working side by side with Google Cloud's TPU engineers, we brought the full Orbis pipeline to TPUs in just 30 days — giving us the low-latency compute and memory bandwidth required to bring Live Models to creators and developers at scale.