Lenovo ThinkStation PGX

Key features of the Lenovo ThinkStation PGX mini computer

Data centre performance in a miniature body

At the heart of the Lenovo ThinkStation PGX is the GB10 Grace Blackwell superchip – a unique combination of a 20-core ARM processor (10× Cortex-X925 + 10× Cortex-A725) and a Blackwell architecture GPU with 5th generation Tensor cores and 4th generation RT cores. Both parts of the superchip are connected by NVLink-C2C technology, which provides 5× the throughput of 5th generation PCIe and enables the CPU and GPU to share a single 128GB pool of unified LPDDR5X memory. The result is tremendous performance that consumes a maximum of 240W and fits on any desk. This shared memory, without the traditional separation of GPU VRAM and system RAM, is the key advantage of the Lenovo ThinkStation PGX over standard desktop builds. Where a GeForce RTX 5090 graphics card offers 32GB of memory, the Lenovo ThinkStation PGX makes four times that amount available for AI models, without the need to quantise models or split them across multiple devices.

A personal supercomputer that fits on any desk

The Lenovo ThinkStation PGX proves that you no longer need a server room or a rack full of hardware to run the largest AI models. With dimensions of 150×150×50.5mm and a weight of 1.2kg, the Lenovo ThinkStation PGX fits on any desk next to a laptop, yet offers performance that just a few years ago would have required an entire server full of graphics cards. Four USB-C 4.0 ports with speeds of up to 40Gb/s, Wi-Fi 7, 10Gb Ethernet and an HDMI output ensure you can connect all your accessories without needing an external hub or docking station. The Lenovo ThinkStation PGX is designed for developers, scientists and AI professionals who want the full power of a local personal AI supercomputer without being dependent on the cloud – right where they work.

NVIDIA AI software ecosystem and task management

The Lenovo ThinkStation PGX comes with pre-installed NVIDIA DGX OS – a specially optimised Linux distribution that includes the complete CUDA-X software stack, NVIDIA Container Toolkit, and Docker for an immediate start to developing and deploying AI models without a lengthy environment configuration. Access to the extensive NVIDIA NGC catalogue then provides pre-trained models, optimised containers, and ready-made reference applications that significantly shorten the time from first boot to a functional AI project.

Fine-tune AI models with up to 70 billion parameters

Use the 128GB of unified memory in the Lenovo ThinkStation PGX to fine-tune pre-trained models with up to 70 billion parameters right at your workstation. Training on your own data enables you to specialise AI models for specific needs, industry data, or particular use cases – without having to send sensitive data to the cloud or pay for expensive GPU instances. The result is a model tailored precisely to your scenario, created locally, securely, and under your full control.

The Lenovo ThinkStation PGX provides top-tier data science

The combination of 128GB of unified memory and 1 PFLOP of parallel throughput makes the Lenovo ThinkStation PGX the ideal workstation for demanding data analytics and machine learning projects. Extensive data sets, complex computational models, and demanding training and analysis processes that previously required a powerful cloud cluster or dedicated server can now run directly on your desk. Fast, local, and without waiting for remote infrastructure.

Inference of models with up to 200 billion parameters

5th generation Tensor cores with FP4 format support achieve performance of up to 1 PFLOP and, combined with 128GB of system memory, enable you to run inference on state-of-the-art AI models with up to 200 billion parameters directly on your desktop. Test, verify and deploy models like Llama, Gemma or Qwen locally and in real time – with no cloud latency, no shared infrastructure and no risk of sensitive data leaks.

Application development for robotics, industry and smart cities

The Lenovo ThinkStation PGX is an exceptional platform for developing robotic systems, smart city solutions, and computer vision applications. Pre-installed NVIDIA Isaac frameworks for robotics, Metropolis for video analytics, and Holoscan for real-time data processing allow developers to fully harness the power of the Lenovo ThinkStation PGX to rapidly prototype and deploy applications – locally, without dependence on cloud infrastructure, and with full support from the NVIDIA ecosystem.