GPUs made training massive models possible, but inference needs better memory capacity, memory bandwidth utilization, more power efficiency, and an architecture built bottom up with transformers in mind. To that end, I'm excited to share that Positron just raised a $51.6M Series A! We offer solutions that are already deployed and are shipping today, and we've designed new silicon to reshape AI inference—reducing cost, drastically cutting power consumption, and unlocking entirely new capabilities in production AI environments. I'm proud of what the @positron_ai team has accomplished and I'm grateful to our investors Valor Equity Partners, Atreides Management, and DFJ Growth for backing us! To celebrate a writeup in the Wall Street Journal that landed over the weekend, the folks in the lab put together a schlocky little promo spot, which I couldn't resist sharing here. [No production cards were harmed during the filming of this video.]