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Spark is a Cannes Official Selection, Public Beta is Open

Spark Cloud Studio is now in public beta with major ShareSync updates, a Cannes nod and new GPU workstations tuned for AI and content work.

It has been a wild few weeks at Spark.

We officially crossed from invitational access into public beta, shipped a major round of updates to ShareSync, added more GPU power for heavier workloads, and came back from Cannes with some news we are still grinning about.

Here is the rundown.

Public beta is open

Spark is now in public beta.

No invite needed anymore. Anyone can sign up, spin up a workstation, and take Spark for a proper run. The waitlist served its purpose, and we are grateful to everyone who came in early, tested things, broke things, pushed things, and helped us shape the platform into something more solid.

The door is now open.

ShareSync got a serious upgrade

ShareSync, our secure cloud storage that mounts like a local drive, just landed a major round of updates.

The idea is simple. Your storage should move with your project. It should expand and contract as the work does, stay in sync across the whole team, and not become another piece of infrastructure everyone has to worry about. Whether your artists are in the same room or spread across time zones, the goal is the same: your files should be where they need to be, when they need to be there.

The less you have to think about where the work lives, the more you can think about the work itself.

A Cannes Next finalist nod

Spark was also selected as a finalist in the Cannes Next “Super-Gifted Solutions for the Future of Cinema” competition.

Being recognised in that company, at Cannes of all places, meant a great deal to us. Spark started as a slightly insane idea about making real production infrastructure accessible to everyone, everywhere, without forcing teams to build an entire studio around the work before they could even begin.

So to see that idea recognised on a stage like Cannes was genuinely humbling.

Spark founders Walt Jones and Tamar Chatterjee at Festival de Cannes

More GPU muscle for AI and content work

We are also adding several powerful new GPU workstations and render nodes tuned specifically for AI development and content production. Whether you are training, generating, rendering, testing, iterating, or just pushing heavy scenes through a demanding pipeline, there is more horsepower on tap. That has always been one of the quiet promises of Spark. The infrastructure should be there when the work needs it, not six weeks later, not after a procurement cycle, and not only if you happen to be sitting in the right building.

The best part of all of this is still watching what people are actually building with it. The feature films, the AI experiments, the render-heavy projects, the small teams moving like much bigger ones. That is the thing that makes all the late nights worth it.

To everyone building on Spark already, thank you.

We are only just getting started.