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Powered by the NVIDIA GB10 Grace Blackwell Superchip, the Lenovo ThinkStation PGX Small Form Factor AI Workstation delivers petaflop-scale performance for AI development and deployment while occupying a small footprint.…
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Powered by the NVIDIA GB10 Grace Blackwell Superchip, the Lenovo ThinkStation PGX Small Form Factor AI Workstation delivers petaflop-scale performance for AI development and deployment while occupying a small footprint.
Inside this system is a combined Cortex-X925 10-Core and Cortex-A725 10-Core CPU with 128GB of unified LPDDR5x memory and a 1TB M.2 NVMe PCIe 4.0 SSD, delivering the performance for local AI workloads with the preloaded NVIDIA AI software stack. Four USB4 ports are available, one of which serves as a power input for the included 240W adapter while the other three work with up to 20 Gb/s compatible peripherals. There is also an HDMI port for connecting a monitor. Wi-Fi 7 (802.11be) support and a 10 Gb/s RJ45 Ethernet port provide high-speed connections to compatible networks. Two 200 Gb/s QSFP ports on the NVIDIA ConnectX-7 Smart NIC allow you to double performance by linking up to two ThinkStation PGX systems together to handle large models. The NVIDIA DGX OS operating system is preinstalled. This system includes one year of Lenovo Premier Support for added peace of mind.
The NVIDIA GB10 Grace Blackwell Superchip and fifth-generation Tensor Cores drive cutting-edge performance and reliability in a compact design. The AI TOP ATOM also features NVIDIA NVLink-C2C technology with a 20-Core ARM processor that supports up to 200 billion parameter models.
The ThinkStation PGX is preloaded with the NVIDIA DGX OS and NVIDIA AI software stack, providing an optimized space for AI model development. Tools such as PyTorch and Jupyter Notebooks allow you to easily prototype, fine-tune, and inference models for smooth deployment to data center or cloud platforms.
The ThinkStation PGX workstation offers developers a secure sandbox for prototyping AI models, which frees up cluster resources for production workloads. This streamlines workflows, keeps IP on-premises, and reduces security risks.
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