Lenovo

Lenovo ThinkStation PX

Name: Lenovo ThinkStation PX
Brand: Lenovo

Dual-socket workstation supporting up to 128 CPU cores and four NVIDIA RTX 6000 Ada GPUs for local model work.

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AI Workstations

Lenovo

Professional AI workstation tower beside two monitors in a dim studio

Overview

ThinkStation PX is a rack-optimised dual-socket workstation for teams that prepare data, fine-tune and serve models on their own hardware. It supports two 5th Gen Intel Xeon Scalable processors, up to four RTX 6000 Ada Generation GPUs and up to nine PCIe slots.

Typical use cases

Model fine-tuning
Local LLM inference
Dataset preparation and simulation

Deployment environment

Office, lab or on-premise engineering environment

Key specifications

CPU: Dual 5th Gen Intel Xeon Scalable, up to 128 cores in total
GPU: Up to 4× NVIDIA RTX 6000 Ada Generation
Expansion: Up to 9 PCIe slots
Chassis: Rack-optimised tower, dual power supply bays
I/O: USB-A and USB-C up to 20 Gbps, GbE RJ-45, optional serial

Specifications taken from current manufacturer documentation and last checked on 2026-09-08.

Source: manufacturer documentation

Specifications are summarised from publicly published manufacturer material and are provided for orientation only. Always confirm current figures directly with the manufacturer before purchasing or designing in.

Compact desktop AI machine on a dark workbench

AMD

AMD Ryzen AI Max+ 395

Sixteen-core Zen 5 processor with an XDNA 2 NPU rated above 50 TOPS and up to 128 GB of unified memory.

NPU: XDNA 2, more than 50 peak AI TOPS
CPU: 16-core Zen 5, 32 threads, up to 5.1 GHz boost
GPU: RDNA 3.5, up to 40 compute units
Deployment: Mobile workstation, mini PC or compact desktop

Local large model inference

Creative and engineering workstations

On-premise prototyping

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Compact desktop AI supercomputer beside a monitor in a dim studio

NVIDIA

NVIDIA DGX Spark

Desktop AI system built on the GB10 Grace Blackwell Superchip with 128 GB of unified memory in a 150 mm chassis.

AI performance: Up to 1,000 TOPS inference, up to 1 PFLOP FP4 (sparse)
Processor: NVIDIA GB10 Grace Blackwell Superchip, 20-core Arm CPU (10× Cortex-X925, 10× Cortex-A725)
GPU: Blackwell GPU, 6,144 CUDA cores, 5th-gen Tensor cores
Deployment: Desk-side development environment or small on-premise lab