Our goal is to build the world's most reliable and secure operating system for AI compute.
A safe transition to a post-silicon world requires the technical ability to abstract hardware without compromising correctness, a coordinated effort to secure the supply chain, and system-wide robustness against adversarial workloads.
Here, we summarize our thinking on three priority subproblems we want to help address:
Formal Verification of Kernels
If we are to trust an AI to write the code that runs our most critical infrastructure, we must be certain it is correct. We are developing Formal Verification techniques that mathematically prove the correctness of JIT-compiled kernels before they ever touch silicon. This ensures that our "Universal Translator" never introduces subtle bugs or vulnerabilities into the compute stack.
Infrastructure Robustness
Reliability is the bedrock of safety. As AI models grow in size and complexity, the underlying infrastructure becomes more prone to silent failures and bit flips. Our OS is designed with Self-Healing capabilities, using our Foundational Models to predict hardware failures before they happen and proactively migrate workloads to healthy nodes without interruption.
Silicon Neutrality & Access
We believe that the concentration of compute power in the hands of a few is a safety risk. By building an OS that runs on Any Chip, we democratize access to high-performance compute. This "Silicon Neutrality" ensures that the future of AI is not dictated by hardware monopolies, but is instead an open, competitive, and resilient ecosystem.
If you have thoughts on our approach, we would be delighted to hear from you at [email protected].