Ren Valley
Inference at the cost of silicon.
We think the inference economy is too inefficient. As in any new market, supply and demand are constantly mismatched, models and hardware churn, and everything is volatile. When both the compute and model layers shift rapidly, software becomes stale by the cycle. Your infra should not be owned by the ever-changing market.
A fleet is as resilient as the cost of flexibly running models on its silicon. Today scheduling is mostly heuristic and tuned by hand, and most of the effort goes into the kernels themselves; the full computational graph is still underweighted. Our compiler takes the whole graph, the hardware, and a prior on the workload, and returns a binary for your serving layer to wrap: inference at the cost of silicon.
We work with inference providers and labs. If you are interested in engineering a more intelligent world, write to us.