Penguin Solutions announced a new line of OriginAI pre‑validated cluster architectures that incorporate NVIDIA’s DGX B300 and RTX PRO 6000 GPUs, positioning the company to meet the growing demand for scalable, high‑throughput AI compute in enterprise data centers.
The DGX B300 delivers up to 72 petaFLOPs of training throughput and 144 petaFLOPs of inference, while the RTX PRO 6000 offers a dual‑slot PCIe Gen 5 design with 96 GB of GDDR7 memory. These specifications enable customers to run large‑scale training and inference workloads with lower time‑to‑value and higher efficiency.
The new configurations will become generally available in early 2026, giving Penguin a head start on competitors still evaluating or integrating newer NVIDIA hardware. The move aligns with the company’s strategy to provide end‑to‑end AI infrastructure, combining validated hardware, ICE ClusterWare software, and managed services.
Vice president of products and solutions Dara Ambrose said the integration “strengthens Penguin’s ability to help organizations operationalize their AI investments.” The quote underscores the company’s focus on simplifying deployment and accelerating ROI for customers.
Analysts have responded positively, maintaining buy ratings and adjusting price targets upward to $27–$30, citing confidence in Penguin’s long‑term growth prospects driven by the expanding enterprise AI market and the company’s ability to deliver high‑performance, pre‑validated solutions.
The announcement signals Penguin’s intent to capture a larger share of the AI infrastructure market, where demand for scalable, high‑throughput GPU solutions is projected to dominate data spending by 2030. By leveraging NVIDIA’s Blackwell architecture, Penguin positions itself to meet the needs of data‑center and cloud customers seeking cutting‑edge compute performance.
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