Podcasts + Vodcasts
8.25.2026
Electronic Design’s Inside Electronics podcast features Vinci co-founder and CEO Hardik Kabaria in conversation with William G. Wong, covering why traditional simulation workflows are too slow, how continuously computed physics makes previously impractical design tradeoffs accessible, and how Vinci achieves simulation speeds up to 1,000× faster than conventional methods.
Listen to the Episode
Wong opens with the tension at the center of modern hardware design. From aircraft to chiplet-based SoCs, trial and error is too expensive, yet simulation can demand significant time and hardware before it returns an answer. Kabaria introduces Vinci’s physics intelligence layer and how the company integrates AI into the simulation process.
The conversation turns to the mechanics behind the speedup, including how GPUs enhance performance and how Vinci balances resolution against speed. The episode emphasizes that faster simulation changes the design cycle in more than one way. Shorter run times mean teams can run far more simulations, and results arrive quickly enough that engineers can ask questions and act on answers in real time instead of queuing jobs to run overnight.
Kabaria also discusses how the software handles real-time applications, the challenges new customers face when adopting the platform, and how Vinci is adapting its technology for industries beyond its current focus.
"Vinci's AI-accelerated physics simulation operates a thousand times faster than conventional simulations."
Electronic Design reports that Vinci’s AI techniques can accelerate physics simulation by a factor of 1,000.
The episode highlights that speed compounds: faster results allow more simulations per design cycle, not just quicker individual runs.
Near-instant results let engineers work through design questions interactively rather than waiting on overnight simulation queues.
Kabaria addresses GPU acceleration, the tradeoff between resolution and performance, and customer adoption challenges as Vinci expands into other industries.
The shift from overnight queues to real-time answers is the core of what Vinci is built to deliver. When physics is continuously computable, simulation stops being a checkpoint engineers schedule around and becomes something they consult at any point in the design process.
That changes which questions teams can afford to ask. Tradeoffs that were once impractical to evaluate because each run took hours become routine, letting engineers explore more alternatives and catch thermal and mechanical issues earlier, all within the design tools they already use.
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.
