Platform

One stack from model to megawatt.

Labs and companies can use any layer on its own. Dedicated capacity, a managed training platform, or finished models.

Models

Sinewgrid Cell and Sinewgrid Motion, plus customer models trained on dedicated capacity.

In development

Platform

Slurm and Kubernetes scheduling, checkpoint management, experiment tracking and evaluation harnesses. Data pipelines for AnnData files, MCAP robot logs and OpenUSD scenes.

In design

AI factory

GPU clusters in large NVLink domains, a high-bandwidth fabric, liquid cooling, and storage tuned for both small-file robot logs and long sequence reads.

Reference design

Power and site

Power procurement and US site selection. [Site, megawatts and energization date to be added.]

Site selection

Infrastructure

Built for two kinds of job at once.

Reference architecture: rack-scale NVIDIA systems with 72 GPUs per NVLink domain, InfiniBand or Ethernet fabric and liquid cooling. [Confirm hardware allocation and delivery dates before publishing.]

Cell & mRNA jobs Shared capacity Robotics jobs FIG. 4 · Illustrative. Not live data.

Open standards we plan to support at launch

NVIDIA GPUsSlurmKubernetesPyTorchJAXOpenUSDIsaac SimMCAPAnnData · scverse

Planning a training run?

Tell us the model, the data and the schedule. We reply with a capacity plan and the evidence behind it.

[contact@your-domain]