Compute with purpose.
Capacity dedicated to your workload. Model, hardware and inference engine working in the same direction.
Dedicated computeDedicated compute. Faster inference.
Extraordinary AI, on your terms.
Private AI infrastructure for the businesses
building what comes next.
The next generation of your business shouldn’t depend on someone else’s queue. Build on dedicated capacity, predictable economics and a deployment designed around you.
Capacity dedicated to your workload. Model, hardware and inference engine working in the same direction.
Dedicated computeCache-aware routing. Tuned concurrency. An inference stack designed to spend less time waiting.
Inference, acceleratedPrivate deployment with explicit boundaries. Control where your models run and who can reach them.
Privacy by architectureYour application is unique.
Your infrastructure should be, too.
Choose the boundary that fits your business.
Keep model weights, prompts and outputs inside a boundary you control. We configure the inference stack around your hardware and security requirements.
Recurrent state meets sparse attention. A different way to carry context through an intelligent workflow.
A causal encoder–decoder, compressed sparse attention and conditional memory. Explore the architecture behind the next token.
Kimi Delta Attention and KPool-DSA share the work: recurrent state for continuity, selective attention for recall.
Language and image tokens meet inside a single-stream diffusion transformer, turning latent noise into deliberate composition.
A joint audio–video latent sequence. One single-stream transformer. A generation path designed to keep sound and motion together.
Model examples illustrate deployment options. Availability, licences and performance are confirmed in your proposal. Model names belong to their respective owners; listing does not imply endorsement or partnership.
Move from paying for every request to making the most of your own capacity.
Compare your API budget with the full monthly cost of an equivalent dedicated deployment.
of your current API spend
* Illustrative scenario, not a quote or measured benchmark. Adjust all inputs to your workload. No savings or equivalent performance are guaranteed.
Get a workload-specific assessmentOne conversation.
A whole new trajectory.