Processor
- Manufacturer
- Nvidia
- Family
- -
- Model
- GB10
- Frequency
- 3.5 GHz
RAM Memory
- Type
- -
- Size
- 128 GB
Hard Drive
- Type
- SSD
- Capacity
- 4000 GB
Graphics Card
- Manufacturer
- nVidia
Product Details
- Suggested Use
- Performance
- Keyboard Language
- No Keyboard
- RGB Lighting
- No
- Colour
- Black
- Popular Series
- Workstation
Software
- Operating System
- No Operating System
Top specs
- Processor
- GB10
- GPU
- nVidia
Important information
Specifications are collected from official manufacturer websites. Please verify the specifications before proceeding with your final purchase. If you notice any problem you can report it here.
Description
The Lenovo ThinkStation PGX is a workstation dedicated exclusively to developing and deploying Artificial Intelligence applications. This compact AI workstation is built around the revolutionary NVIDIA GB10 Grace Blackwell Superchip.
It comes preinstalled with NVIDIA DGX OS and the complete NVIDIA AI software stack, which includes tools such as PyTorch and Jupyter® Notebooks. Engineers can easily create prototypes, fine-tune models and run inference, ensuring smooth deployment to data center or cloud platforms.
Thanks to its compact size, energy efficiency and data security, it is ideal for labs, startups or businesses looking for AI power in the workplace.
- The NVIDIA GB10 Grace Blackwell Superchip combines a multicore ARM CPU (20 cores) with state-of-the-art integrated graphics.
- It offers an energy-efficient System-on-a-Chip (SoC) solution with 1 PetaFLOP of AI performance.
- It supports models with up to 200 billion parameters (and up to 405 billion with two PGX systems).
- It features a ConnectX®-7 Smart NIC (10GbE) networking port for connecting two ThinkStation PGX systems and doubling performance.
- 128GB of LPDDR5x memory enables seamless work with large AI models locally.
- It provides a secure “sandbox” environment for prototyping AI models while keeping intellectual property on-premises.
Ideal for developers, researchers and data scientists who want to develop, fine-tune or run large AI models without using the cloud.