The Problem We're Solving
If you run GPU workloads on a shared cluster, you know this experience: you submit a job and then... wait. How long? Could be minutes. Could be hours. There's no way to know.
You refresh the queue status. Still waiting. You check your email. Nothing. You try to do other work, but you can't focus because you need those results. So you refresh again.
I've spent more time watching queue status than watching my models train.
This uncertainty isn't just frustrating—it's expensive. Teams can't plan their work. Engineers context-switch constantly. Experiments get delayed. And nobody can make good decisions about capacity because nobody knows what's actually happening.
What VGAC Does
VGAC gives you something simple but powerful: visibility into when your jobs will run.
Before you submit
See expected wait times based on current cluster state. Know whether now is a good time to submit, or if you should wait.
After you submit
Get updates as conditions change. Know when to expect your job to start, and plan your work accordingly.
No more guessing. No more refreshing status pages. No more "I don't know."
Who It's For
For ML Engineers
Know when your job will run so you can plan your day, not waste it checking status.
For Platform Teams
Give your users answers instead of shrugs. Reduce the "when will it run?" tickets.
For Leadership
Make capacity decisions based on actual data, not gut feelings.
Why Now
The GPU shortage has made every hour of compute precious. Teams can't afford the inefficiency that comes with poor visibility. At the same time, AI workloads are becoming more central to business strategy—meaning the cost of delays is higher than ever.
We've spent years working on GPU infrastructure and observability systems. We've lived this problem. And we believe we can solve it.
What's Next
We're currently building and testing with early partners. If you're frustrated with queue uncertainty and want to be among the first to try VGAC, we'd love to hear from you.
Our goal is simple: submit with confidence.
Interested?
Request early access or just say hello—we'd love to talk about what you're building and how we might help.
Request early access