News
8.17.2026
Vinci co-founder and CEO Hardik Kabaria lays out the case for a continuous physics intelligence layer in AI hardware, walking from memory design through GPU thermal behavior to data center cooling. The video frames the entire chain as a single physics problem and explains why episodic expert analysis no longer keeps pace with it.
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Kabaria starts with the demands of AI training and inference: memory has to work with GPUs, GPUs with boards, and boards all the way up to the data center, so the world can train better models and serve faster inference. Every link in that chain is governed by physics — heat transfer, thermo-mechanical warpage, vibration, signal integrity, electromagnetics — and each affects the next.
The problem, he argues, is that engineering treats physics episodically: every so often, an expert runs an analysis and makes physics intelligence available. Vinci is building a continuous physics intelligence layer that turns that episodic pattern into something available across the stack, from architectural decisions through operations, at manufacturing resolution. It is powered by a foundation model for the physical world built ground up from first principles — balance of energy, balance of momentum, and preservation of electric and magnetic fields at the right resolution.
"Today in engineering these parts, we go through episodic engineering."
This is the thesis behind the platform stated directly: physics should be infrastructure, not an event. The distinction matters because episodic analysis forces teams to design against margin — they commit to decisions before the physics is known, then verify afterward, and absorb the cost when the two disagree.
Making that analysis continuous and available at manufacturing resolution changes what engineering teams can ask and when. Architectural tradeoffs, packaging choices, and data center cooling strategy all become questions with deterministic answers available while the design is still open.
Vinci is a frontier lab building the foundation model for the physical world. Its deterministic, solver-grounded systems make physics continuously computable inside production engineering workflows and are already running on flagship programs, shifting physics from an episodic simulation bottleneck to continuous infrastructure for design, manufacturing, and reliability decisions.
Explore related Vinci resources on thermo-mechanical simulation, deterministic physics infrastructure, and production engineering workflows.
