Inference
High-performing inference
Customized, self-improving inference built for your model, budget, traffic, and requirements.
Your models,run on our GPUs.
Our agents deploy your model on GPUs reserved for us, keep it running, and keep making it cheaper and faster. Your app calls a private endpoint, and your team hosts nothing.
What you get with Stack
Infrastructure
Runs on our GPUs
Your optimized inference, deployed on our GPUs with full reliability. Nothing for your team to host.
Data
Zero data retention
We do not access your prompts, outputs, or processed data by default. Collecting traces is opt-in.
Dashboard
You still own everything
See your models, approve any changes, and review our agents’ actions, all from one dashboard. Observability is built in throughout.
How it works
Our agents plan, optimize, deploy, operate, and review your model, then do it all again every day.
Plan
Plans the infrastructure around your model and your requirements
Optimize
Makes your model cheaper and faster, tested against official benchmarks and your targets
Deploy
Puts it live once you approve, with a rollback ready
Operate
Catches problems around the clock and fixes them within limits you set
Review
Checks it daily and brings you tested improvements to approve
You stay in control
Our agents fix problems within your limits. Everything else waits for your approval.
Recovery
Fixes within your limits
Restarts, failover, and rollback run on their own only if you allow them. Every action is logged.
Improvements
Changes need your approval
Cheaper or faster setups are tested first. You see the result, then decide.
New models
New models are tested first
You see how a new model compares before it goes live.
Isolation
Each model has its own rules
Targets, limits, and approvals are set per model.
Roomates cut its inference cost by 99%
Roomates turns selfies into avatars. Moving off Gemini to Sparset cut the cost of each image from 4¢ to 0.05¢ ($0.0005), and the time to generate one from 12 seconds to 3.
“Sparset helped us free ourselves from Gemini pricing and constraints, dividing our avatar generation cost by five, while allowing more than ten times the volume, for a quarter of the time per generation. The team is also very reactive and very easy to work with.”
Valentin PyCo-founder and CTO, RoomatesRead the Roomates storyQuestions
Do we need our own GPUs?
No. Stack runs on GPUs reserved for us by our data center partner. If the model has to run on your own cloud or hardware, that is Edge.
Do you keep our production data?
No. Stack runs with zero data retention by default: we keep none of your prompts or outputs, and never train on them. Collecting traces, for visibility or for Forge, is opt-in.
What can Sparset change without asking us?
Only the recovery actions you approve at setup: restarts, traffic shifts, failover, and rollback, within limits you set. Everything else is tested first and waits for your approval. Every action is logged.
Will quality drop to save money?
Quality is one of the targets every change is tested against, next to speed and cost. A change that misses one does not ship.
How do we know it is actually cheaper?
We measure your current setup first, then test every change on traffic like yours. You get before-and-after numbers, with the tradeoffs named.
How is Stack priced?
It depends on the workload and the scale. We scope it after looking at your model, so the price reflects what it takes to run.
Bring your model. We will show you what Stack would do with it.
- 01Book a callTell us your model, traffic, and current costs.
- 02See the numbersWe show what Stack would cost and how fast it runs.
- 03Go liveYou approve, we deploy, and our agents run it.