Lenovo ThinkStation PGX NVIDIA Grace Blackwell AI Workstation
Lenovo ThinkStation PGX NVIDIA Grace Blackwell AI Workstation
SKU:SYLEN-PGX-GB101282TB
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- 1-year Onsite with Premier Support Upgrade Manufacturer Warranty
Product Information
| Brand | Lenovo |
|---|---|
| Category | Systems - NUC/SFF/AIO |
| SKU | SYLEN-PGX-GB101282TB |
| Availability | Out of Stock |
Overview
- The Lenovo ThinkStation PGX is a purpose-built AI computing workstation engineered for enterprise-grade inference tasks. Built on NVIDIA's Grace Blackwell architecture, it combines a 20-core ARM processor with 128GB of unified LPDDR5X memory, enabling efficient processing of AI models without traditional GPU overhead.
With 10GbE connectivity and dual 200Gbps QSFP ports, the PGX supports distributed AI workloads and seamless integration into existing data centre infrastructure. The compact 150x150mm footprint and lightweight 1.2kg design make it ideal for edge deployment, clustering multiple units, or space-constrained environments.
Pre-configured with NVIDIA DGX OS, the system is optimised for AI inference out of the box. The 2TB NVMe storage and comprehensive connectivity options—including Wi-Fi 7, four USB-C ports with DisplayPort 2.1, and HDMI output—provide flexibility for diverse deployment scenarios.
Backed by a 1-year onsite warranty and Premier Support, the ThinkStation PGX is suited for organisations requiring reliable, high-performance AI inference infrastructure.
Specifications
| Processor | NVIDIA GB10 Grace Blackwell Superchip, 20-core ARM (10x Cortex-X925 + 10x Cortex-A725) |
|---|---|
| Integrated Graphics | NVIDIA Blackwell Architecture |
| Memory | 128GB LPDDR5X, 256-bit, Unified System Memory |
| Storage | 2TB SSD M.2 2242 PCIe 4.0x4 NVMe Opal 2.0 |
| Ethernet | ConnectX-7 Smart NIC, 1x 10GbE RJ-45 |
| WLAN | Wi-Fi 7 (802.11be) |
| Bluetooth | Bluetooth 5.3 |
| USB Ports | 4x USB-C (USB 20Gbps / USB 3.2 Gen 2x2) with DisplayPort 2.1 and USB PD 3.1 |
| QSFP Ports | 2x QSFP (200Gbps each) |
| HDMI | 1x HDMI |
| Audio | HDMI multichannel audio output |
| Power Supply | 240W Adapter |
| Dimensions | 150 x 150 x 50.5mm (5.91 × 5.91 × 1.99 inches) |
| Weight | 1.2kg (2.65 lbs) |
| Operating System | NVIDIA DGX OS |
| Warranty | 1-year Onsite with Premier Support Upgrade |
Key Features
Ideal For
FAQs
What is the NVIDIA Grace Blackwell architecture?
The NVIDIA GB10 Grace Blackwell Superchip integrates a 20-core ARM processor with NVIDIA's Blackwell GPU architecture in a single chip. This unified design optimises AI inference performance with reduced data movement and power consumption compared to discrete GPU systems.
Is the ThinkStation PGX suitable for training AI models?
The ThinkStation PGX is optimised for AI inference workloads. For model training, systems with larger discrete GPU memory pools may be more suitable. Consult with Hyetech for training-specific requirements.
Can multiple ThinkStation PGX units be clustered together?
Yes. The dual 200Gbps QSFP ports are specifically designed for connecting multiple ThinkStation PGX units, enabling distributed AI inference and horizontal scaling.
What is NVIDIA DGX OS?
NVIDIA DGX OS is a Linux-based operating system pre-optimised for AI workloads. It comes pre-installed on the ThinkStation PGX and simplifies deployment of AI inference applications.
What are the warranty and support options?
The ThinkStation PGX includes a 1-year onsite warranty with a Premier Support upgrade included. This provides technical support and on-site hardware service for enterprise peace of mind.
What connectivity options are available?
The system provides 1x 10GbE Ethernet, 2x 200Gbps QSFP ports, 4x USB-C with DisplayPort 2.1, 1x HDMI, Wi-Fi 7, and Bluetooth 5.3 for comprehensive wired and wireless connectivity.
How much storage does the ThinkStation PGX include?
The system comes with 2TB of PCIe 4.0 NVMe SSD storage (M.2 2242 form factor) suitable for model storage and inference data handling.
Is the ThinkStation PGX portable?
Yes. At just 1.2kg and 150x150x50.5mm, the ThinkStation PGX is highly portable. Its compact form factor makes it suitable for edge deployment, mobile labs, or space-constrained environments.
