As it becomes viscerally apparent just how rapidly and thoroughly AI is conquering the realms of numbers and code, I keep thinking about what this means for the realm of atoms. While the concern about the risks is real and warranted, the potential for positive impact is immense and imminent. But the limits now shift to the complexity, time, and cost of interfacing with the physical world. What I love about biology, and what distinguishes it from most other realms of atoms, is the power of massive parallelism to overcome these limits. This is what drew me to the field over a decade ago. The moment has arrived for those of us who have been building massively parallel interfaces between the vast space of molecular designs and the complexity of biology. Our team at @ManifoldBio has been building an interface directly into whole organisms. We now have the potential to catalyze some of the most beautiful and beneficial applications of powerful AI.

Big news for d-Matrix and AI inference. We’re collaborating with NVIDIA to bring our next-gen Raptor inference XPUs into NVIDIA's MGX rack-scale infrastructure with NVIDIA NVLink scale-up interconnect. Ultra-low latency inference. Premium-level token services. Built to scale. Read the full announcement: d-matrix.ai/announcements/d-… #NVLinkFusion #AIInfrastructure #AgenticAI #dMatrix