We built a chip from scratch specifically for AI. Not a GPU repurposed for AI — a chip designed from the ground up for dataflow computing. That distinction matters when you're running trillion-parameter models.

AIhardwareTechCrunch Interview, 2023

Our co-founders are Stanford professors who literally wrote the textbook on computer architecture. Kunle Olukotun and Chris Ré. When your founders invented the technology, the R&D moat is real.

founding-teamacademiaForbes Interview, 2022

We raised $1.1 billion. For a chip company. In a market where NVIDIA has 90% share. Either we're brilliant or insane. The benchmark results suggest brilliant. The market cap gap suggests we have work to do.

fundraisingcompetitionBloomberg Interview, 2023

Enterprises don't want to rent GPUs from the cloud. They want AI infrastructure they own, on their premises, behind their firewall. That's our market. NVIDIA sells chips. We sell full-stack AI systems.

enterpriseon-premiseWall Street Journal Interview, 2023

The Department of Energy and Argonne National Lab use our systems. When the US government trusts your hardware with national security workloads, that's a reference customer no competitor can dismiss.

governmentvalidationWired Interview, 2023

Everyone is fighting over training. We focused on inference — running the models, not building them. Training happens once. Inference happens a billion times a day. The economics favor inference.

inferencestrategyCNBC Interview, 2024
Rodrigo Liang Quotes | Netfigo