At Hot Chips, d-Matrix stole the show with Raptor, the first 3D-stacked DRAM accelerator. They didn't waste any time building on the momentum by announcing that Raptor has been designed into NVIDIA's MGX rack as an NVLink Fusion partner. The rack features 144 XPUs, 2.3 TB of 3D-DRAM at 7.2 PB/s per rack, targeting ~1,000 tok/s/user on 3T models at 1M context. NVIDIA already has Groq 3 LPX with its 128 GB of rack-level SRAM. Raptor brings 18x the capacity for the frontier models SRAM can't fit. NVIDIA's decode portfolio now spans the model size spectrum with Vera CPUs, NVLink, and Spectrum-X attaching either way. NVIDIA just validated the 3D-DRAM bet two years before first revenue. d-Matrix proved it's going to scale.

Excited to work with NVIDIA to bring Raptor to NVIDIA MGX with NVLink Fusion. Building the next generation of AI infrastructure together.

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

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

transformers are done. the future is freaky-looking sorta-transformers

1/5 We pretrained Omnii, a multimodal language model on DNA. Then, we asked it to design a cancer vaccine In new research, we show how Omnii learned to turn a tumor DNA sequence into a personalized mRNA vaccine design. Read more here: radicalnumerics.ai/blog/omni…

We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics. The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra. The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.