32× GB300 “AI Gateway”

Paul Fang is listed as president of Bay Area Founders Club (BFC), which promotes itself as a community with six-figure membership claims across thousands of startups and VCs. (bayareafoundersclub.substack.com) missionX describes itself as an “AI‑ready project and resource management” platform offering program and resource orchestration for engineering teams. (missionx.ai) NVIDIA’s GB300 Blackwell Ultra GPUs ship with 288 GB of HBM3e per GPU, and the GB300 NVL72 rack-scale platform aggregates 72 Blackwell GPUs with 36 Arm‑based Grace CPUs into a single liquid‑cooled rack (total HBM reported at ~21 TB per NVL72). ( ) A 32‑GPU array made from GB300-class Blackwell Ultra chips would contain roughly 9,216 GB (≈9.22 TB) of on‑GPU HBM3e memory (32 × 288 GB per GPU as reported by vendor specs). (nvidia.com) Microsoft and Azure have publicly disclosed production deployments using thousands of GB300 NVL72 systems — Microsoft’s Azure blog and industry reporting cite a rollout of more than 4,600 GB300 NVL72 systems for OpenAI workloads and note rack power figures in the ~136–142 kW range per NVL72 rack. ( ) OEM and systems partners publicly showing GB300 builds at GTC and industry shows include Supermicro, Wiwynn, ASUS (AI Pod demos), and Lenovo’s GB300 rack offerings, signaling multi‑vendor availability beyond direct OEM channels. ( ) NVIDIA documentation on GB300 NVL72 also highlights an integrated PSU with energy storage and power‑smoothing features that can reduce peak grid demand by up to 30% for synchronized AI workloads. (developer.nvidia.com)