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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-premise— Wall Street Journal Interview, 2023
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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.

aihardware— TechCrunch Interview, 2023
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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.

academiafounding-team— Forbes Interview, 2022
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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.

competitionfundraising— Bloomberg Interview, 2023
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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.

enterprisegovernment— Wired Interview, 2023
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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.

aiinference— CNBC Interview, 2024