Lenovo ThinkStation PGX GB10 128 GB LPDDR5x-SDRAM 1 TB SSD DGX OS Mini Tower Mini PC Black

Lenovo ThinkStation PGX GB10 128 GB LPDDR5x-SDRAM 1 TB SSD DGX OS Mini Tower Mini PC Black

  • Brand: Lenovo
  • Category:
  • SKU: 30KL000CUC
  • EAN: 0199275393082
Built into NVIDIA GB10 Grace Blackwell Superchip, 20 core Arm, 10x Cortex-X925 + 10x Cortex-A725, 128GB LPDDR5X, 256-bit, Unified System Memory, 1TB SSD M.2 2242 PCIe 4.0x4 NVMe Opal 2.0, NVIDIA Blackwell Architecture, Built into NVIDIA GB10 Grace Blackwell Superchip, Wi-Fi 7 802.11be + BT5.3, NVIDIA DGX OS

Trade Prices

Distributor Product SKU Stock Updated Price
TD Synnex UK

ThinkStation PGX 30KL - MT 1 x GB10 Grace Blackwell Superchip - RAM 128 GB - SSD 1 TB - TCG Opal Encryption 2, NVMe - NVIDIA Blackwell - Gigabit Ethernet, 10 Gigabit Ethernet, Bluetooth 5.3, IEEE 802.11ax (Wi-Fi 6), IEEE 802.11be (Wi-Fi 7) - NVIDIA DGX OS

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13237190 Register free see stock
Westcoast

LNV PGX GB10 128/1T LINUX

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30KL000CUC
DSM Distribution

ThinkStation PGX - MT GB10 Grace Blackwell Superchip - 128 GB - SSD 1 TB

13237190
SYNAXON

ThinkStation PGX 30KL - MT 1 x GB10 Grace Blackwell Superchip - RAM 128 GB - SSD 1 TB - TCG Opal Encryption 2, NVMe - NVIDIA Blackwell - Gigabit Ethernet, 10 Gigabit Ethernet, Bluetooth 5.3, IE

STD10236101
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Memory Bank

LNV PGX GB10 128/1T LINUX

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Retail Prices

Merchant Product Condition Updated Price
Currys Business Built into NVIDIA GB10 Grace Blackwell Superchip, 20 core Arm, 10x Cortex-X925 + New 289 hours ago £6,059.98

Related Products

Reasons To Buy

<p>SCALABLE AI DEVELOPMENT</p>

The Lenovo ThinkStation PGX small form factor, powered by the NVIDIA GB10 Grace Blackwell Superchip, enables simplified AI workflows right at your desk. It comes preloaded with the NVIDIA AI software stack and seamlessly integrates with your workstation for on-device AI development, eliminating the complexity and cost of cloud-based solutions.

<p>NEXT-GEN BLACKWELL GPU</p><p>Seamless Integration Into AI Pipelines</p>

An advanced NVIDIA Blackwell GPU supports complex AI workflows, including fine-tuning, inference, and data processing, with features designed to streamline deep learning, computer vision, and generative AI development.

<p>UNIFIED SYSTEM MEMORY</p><p>Endless Possibilities With Smarter Memory Solutions</p>

The compact ThinkStation PGX workstation offers exceptional unified memory and bandwidth for its size and price point. Effortlessly fine-tune, prototype, and test large AI models locally, while experiencing faster iterations, reduced complexity, and enhanced productivity.

<p>NVIDIA CONNECTX<sup>®</sup> TECHNOLOGY</p><p>Dual-System Connectivity for More Potential</p>

With the ConnectX®-7 networking port, combine the power of two ThinkStation PGX devices to work with even larger AI models and unlock new possibilities for advanced AI innovations.

<p>AI EXCELLENCE</p>

The NVIDIA GB10 Grace Blackwell Superchip combines cutting-edge graphics with a powerful multicore ARM CPU to deliver an energy efficient system-on-a-chip (SOC) solution. It’s built to handle complex AI tasks and massive datasets with incredible speed and efficiency, making it perfect for tackling demanding workloads locally.

<p>FULL-STACK NVIDIA AI PLATFORM</p>

A compact entry point to advanced AI, the ThinkStation PGX is preloaded with the NVIDIA DGX™ OS and NVIDIA AI software stack, providing an optimized space for AI model development. With tools like PyTorch and Jupyter® Notebooks, engineers can easily prototype, fine-tune, and inference models for smooth deployment to data center or cloud platforms.

<p>SANDBOXED DEVELOPMENT ENVIRONMENT</p>

The ThinkStation PGX workstation offers developers a secure sandbox for prototyping AI models, freeing up cluster resources for production workloads. This streamlines workflows, keeps IP on-premises, and reduces security risks — ideal for experimentation without compromising enterprise standards.

Description

Our first workstation dedicated to AI development & deployment.- Compact AI workstation built on the NVIDIA GB10 Grace Blackwell Superchip
- Purpose-built for tackling AI computations & model development with incredible efficiency
- Ideal for AI developers, data scientists & students seeking a convenient AI desktop solution

Specifications

Processor
Processor modelGB10
Processor manufacturerNvidia
Processor cores20
Memory
Internal memory128 GB
Maximum internal memory128 GB
Internal memory typeLPDDR5x-SDRAM
Storage
Storage mediaSSD
Number of storage drives installed1
Optical drive typeNo
SSD interfacePCI Express 4.0
SSD capacity1 TB
Number of SSDs installed1
Total storage capacity1 TB
SSD form factorM.2
Total SSDs capacity1 TB
NVMeYes
M.2 SSD size2242 (22 x 42 mm)
Self-Encrypting Drive (SED)Yes
Graphics
Discrete graphics cardNo
On-board graphics cardYes
Discrete graphics card modelNot available
On-board graphics card modelNVIDIA Blackwell
On-board GPU manufacturerNVIDIA
Performance
Product typeMini PC
Optical drive
Optical drive typeNo
Network
Ethernet LANYes
Wi-FiYes
BluetoothYes
Bluetooth version5.3
Wi-Fi standardsWi-Fi 7 (802.11be)
Ethernet LAN data rates10000 Mbit/s
Ethernet interface type10 Gigabit Ethernet
Top Wi-Fi standardWi-Fi 7 (802.11be)
Ports & interfaces
USB 3.2 Gen 1 (3.1 Gen 1) Type-A ports quantity0
USB 3.2 Gen 1 (3.1 Gen 1) Type-C ports quantity0
USB 3.2 Gen 2 (3.1 Gen 2) Type-A ports quantity0
USB 3.2 Gen 2 (3.1 Gen 2) Type-C ports quantity0
Thunderbolt 3 ports quantity0
USB 2.0 ports quantity0
HDMI ports quantity1
Ethernet LAN (RJ-45) ports1
USB 3.2 Gen 2x2 Type-C ports quantity4
USB Type-C DisplayPort Alternate ModeYes
USB Power Delivery revision3.1
USB Power Delivery (USB PD)Yes
USB4 Gen 2x2 ports quantity4
Fiber NIC port (Flex I/O)Yes
Power
Power supply240 W
Technical details
Product typeMini PC
Product colourBlack
Chassis typeMini Tower
Design
Product colourBlack
Chassis typeMini Tower
Software
Operating system installedDGX OS
Display
Display includedNo
Weight & dimensions
Width150 mm
Depth150 mm
Height50.5 mm
Weight1.2 kg
Packaging content
Display includedNo
Other features
On-board graphics cardYes
Processor manufacturerNvidia
Ethernet interface type10 Gigabit Ethernet