People see Nvidia as the GPU company that hit $1T selling chips. That’s the surface. Nvidia isn’t chasing viral apps; it’s securing the layers that decide how AI evolves.
Recursion Pharmaceuticals turns drug discovery into a computational problem. Millions of chemical combinations run inside silicon instead of wet labs, with Nvidia compute powering the search.
Scintil Photonics works on integrated photonics—chips that use light to move data. Less heat, less loss, orders of magnitude faster. When silicon hits limits, Nvidia already owns the post-silicon option.
Nebius Group builds AI-first cloud infrastructure outside the US–China axis. Everything is optimized for GPUs and large models. If the real competition is about where models run, Nvidia is positioning the playing field.
CoreWeave evolved from crypto mining into a GPU-native cloud whose business model is entwined with Nvidia hardware. That’s structural dependence at the infrastructure layer.
Black Forest Labs is a quiet European team building next-gen visual models beyond the big-tech playbook. Nvidia backs the researchers who may define the next architecture.
Connect the dots: computational biology, photonics, sovereign-scale clouds, GPU infrastructure, frontier models. Nvidia isn’t acting like a chip vendor—it’s consolidating control over the layers that set the pace of AI.