Optimizing a model is a slow, manual, chip-specific work. Teams do it once and for one stack, so most hardware never gets used well.
Imagine hardware as a choice, not a monopoly. Cost and supply no longer set by a single stack. That world is one software layer away.
A fast layer between your model and your silicon.
Optimization has always meant scarce, hardware-specific expertise, applied by hand. Hoid's agents do it instead.
Method
Hoid's agentic AI compiler profile and benchmark through the optimization space, then carry what they learn from one hardware world to the next.
Stats
That shouldn't depend on the silicon you use.
Team
Kernels, compilers, agents. We live in the gap between models and hardware, and we're closing it.
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