According to NVIDIA AI Developer on X, Andrej Karpathy’s lab received the first DGX Station GB300, a high‑end developer workstation that reportedly requires a 20‑amp circuit, signaling significant power and cooling needs for on‑prem AI experimentation (source: NVIDIA AI Developer post; Andrej Karpathy on X). As reported by NVIDIA’s blog linked in the announcement, the GB300-branded DGX Station targets advanced model training and inference workflows, aligning with NVIDIA’s GB-series platform roadmap and enabling small teams to prototype multimodal and large language models locally without cloud latency. According to the same NVIDIA sources, this workstation is positioned for researchers and startups to iterate on frontier-scale model components, accelerate retrieval-augmented generation, and evaluate enterprise fine-tuning pipelines on sensitive data in secure labs, creating business opportunities in privacy-first AI development, low-latency edge model serving, and cost-optimized experimentation before cloud scale. The Dell collaboration mentioned by NVIDIA AI Developer indicates a channel strategy that could broaden access to GB-class developer hardware, benefiting enterprises seeking standardized on-prem stacks for MLOps integration and faster time-to-value.