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Compact silver mini PC, flat square chassis, low profile, four USB-C ports visible, HDMI and RJ45 on rear, subtle Lenovo badge

Lenovo

Lenovo ThinkStation PGX 30KL0003US AI edge system 128GB 4TB

SKU CH-H3MS-QNYGK MPN 30KL0003US

Compact ARM mini PC with 20-core CPU, 128GB LPDDR5X unified memory, 4TB PCIe Gen4 SSD, Wi-Fi 7, ConnectX-7 Smart NIC, and NVIDIA DGX OS in a 240W chassis

  • Processor20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm
  • Installed RAM128 GB
  • Installed SSD4 TB SSD M.2 2242 PCIe Gen4 TLC Opal
  • Wi-Fi standardWi-Fi 7
  • Operating systemNVIDIA DGX OS
  • Type of memoryLPDDR5x, coherent unified system memory
  • 20-core Arm CPU delivers 1 PFLOP tensor performance
  • 128GB LPDDR5X unified memory provides 273 GB/s bandwidth
  • 4TB PCIe Gen4 SSD offers high-speed local storage
  • Wi-Fi 7 and ConnectX-7 Smart NIC enable fast networking
  • Compact 1.98" x 5.91" x 5.91" design fits edge deployments

Compact ARM AI workstation

The Lenovo ThinkStation PGX 30KL0003US is a mini PC built around a 20-core ARM processor with 10 Cortex-X925 and 10 Cortex-A725 cores. It ships with 128GB of coherent unified LPDDR5X memory delivering 273 GB/s bandwidth and a 4TB M.2 2242 PCIe Gen4 TLC Opal SSD. The system runs NVIDIA DGX OS and draws 240 Watts.

Replaces discrete GPU servers for edge inference

This unit replaces rack-mounted GPU servers when the workload fits within 128GB of unified memory and tensor performance of 1 PFLOP. The jump is worth it when you need Wi-Fi 7, Bluetooth 5.3, and a ConnectX-7 Smart NIC in a 1.98 x 5.91 x 5.91 inch chassis weighing 2.64 lbs instead of a full-depth server. HDMI 2.1a supports 4K at 60Hz for local display.

Check power, mounting, and OS compatibility

Verify that a 240W power supply meets your site requirements and that the mini PC dimensions fit your mounting location. Ensure your workflow runs on ARM architecture under NVIDIA DGX OS. Confirm that four USB-C 20Gbps ports plus two USB-C to USB-A dongles cover your peripheral needs and that the single RJ45 Ethernet port satisfies wired networking demands.

How it compares

Measured against everything we stock in Industrial PCs & AI Edge Systems, at today’s prices. Recalculated every night.

Price $5,722.99
Pricier than about 95% of the 406 comparable items (median $518.49).
Installed RAM 128 GB
Higher than about 90% of the 79 comparable items (median 4 GB).
Installed SSD 4 TB SSD M.2 2242 PCIe Gen4 TLC Opal
Higher than about 80% of the 21 comparable items (median 1 TB).

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Specifications

Product
Brand nameLenovo
Product lineThinkStation PGX
Model name30KL0003US
Product typeMini PC
Processor
Processor20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm
Memory
Installed RAM128 GB
Type of memoryLPDDR5x, coherent unified system memory
Storage
Installed SSD4 TB SSD M.2 2242 PCIe Gen4 TLC Opal
Connectivity
Wi-Fi standardWi-Fi 7
Wi-Fi802.11be Wireless LAN
Bluetooth support5.3
Ports & slots
Extra ports4 x USB-C (USB 20 Gbit/s)
HDMI 2.1a (supports resolution up to 4K@60 Hz)
ConnectX-7 Smart NIC
Ethernet (RJ45)
Power
Power supply240 W
Size & build
Product dimensions1.98 in × 5.91 in × 5.91 in
Product weight2.64 lb (1.2 kg)
Shipping weight13.15 kg
Package size584 × 508 × 330 mm
In the box
In the boxLenovo ThinkStation PGX
240 W power supply unit & power cord
Quick User Guide
2x USB-C to USB-A dongle
Software
Operating systemNVIDIA DGX OS

Questions about this item

What clearance does the 1.98 inch high mini PC need for the 240W power supply and HDMI 2.1a cable?

The chassis measures 1.98 by 5.91 by 5.91 inches and weighs 2.64 lbs, so allow at least 2 inches above the unit for the 240W brick and cable bend radius behind the HDMI 2.1a port.

Which step is often missed when installing the NVIDIA DGX OS on the 128GB LPDDR5X unified memory system?

After connecting the 240W power supply and the 4TB M.2 2242 PCIe Gen4 drive, the first boot must complete the DGX OS initialisation before attaching any USB-C 20Gbps peripherals or the ConnectX-7 Smart NIC.

When should the 4TB M.2 2242 PCIe Gen4 TLC Opal SSD be replaced in this 240W AI edge system?

Replace the 4TB M.2 2242 drive when SMART health drops below 80 percent or sustained write throughput falls under the 273 GB/s memory bandwidth ceiling during Tensor workloads.

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