Lenovo
Lenovo ThinkStation PGX 30KL0002US AI edge system 128GB 1TB
Compact AI edge system with 20-core Arm processor, 128GB LPDDR5x unified memory, 1TB PCIe Gen4 SSD, NVIDIA DGX OS, 10GbE and Wi-Fi 7 connectivity in a 1.98" mini PC
- TypeMini PC
- CPU Type20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm
- Installed Memory Size128GB
- Memory TypeLPDDR5x, coherent unified system memory
- Memory FeaturesTensor Performance: 1 PFLOP Memory Interface: 256-bit Memory
- SSD (Installed)1TB SSD M.2 2242 PCIe Gen4 TLC Opal
- 1 PFLOP tensor performance from 128 GB LPDDR5x unified memory
- 20-core Arm CPU with 10 Cortex-X925 and 10 Cortex-A725 cores
- Wi-Fi 7 and Bluetooth 5.3 plus ConnectX-7 Smart NIC for fast networking
- 1 TB M.2 2242 PCIe Gen4 SSD with Opal encryption
- NVIDIA DGX OS pre-installed in a 1.98" high mini PC
AI edge system for developers
The Lenovo ThinkStation PGX 30KL0002US 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 LPDDR5x coherent unified memory and a 1TB M.2 2242 PCIe Gen4 TLC Opal SSD. The system runs NVIDIA DGX OS and delivers 1 PFLOP tensor performance for local AI workloads.
Simple setup with external power
The unit arrives with a 240W power supply, power cord and two USB-C to USB-A dongles in the box. Installation consists of connecting the external brick and any peripherals to the four USB-C ports or the HDMI 2.1a output. The compact 1.98" height leaves little room for internal upgrades, so storage or memory changes are not practical.
Check power and peripheral needs
Verify that a standard mains outlet can supply the 240W brick and that your display accepts HDMI 2.1a at up to 4K@60Hz. The four USB-C ports run at 20Gbps each, so confirm any docks or devices match that speed. Network infrastructure should support 10 Gigabit Ethernet or Wi-Fi 7 to use the ConnectX-7 Smart NIC and 802.11be wireless fully.
Points forts
- 1 PFLOP tensor performance from 128 GB LPDDR5x unified memory
- 20-core Arm CPU with 10 Cortex-X925 and 10 Cortex-A725 cores
- Wi-Fi 7 and Bluetooth 5.3 plus ConnectX-7 Smart NIC for fast networking
- 1 TB M.2 2242 PCIe Gen4 SSD with Opal encryption
- NVIDIA DGX OS pre-installed in a 1.98" high mini PC
Caractéristiques
| Brand | Lenovo |
|---|---|
| Series | ThinkStation PGX |
| Model | 30KL0002US |
| Type | Mini PC |
| CPU Type | 20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm |
| Installed Memory Size | 128GB |
| Memory Type | LPDDR5x, coherent unified system memory |
| Memory Features | Tensor Performance: 1 PFLOP Memory Interface: 256-bit Memory Bandwidth: 273 GB/s |
| SSD (Installed) | 1TB SSD M.2 2242 PCIe Gen4 TLC Opal |
| WLAN | 802.11be Wireless LAN |
| WiFi Generation | Wi-Fi 7 |
| Bluetooth | Bluetooth 5.3 |
| Other ports | 4 x USB-C (USB 20Gbps) HDMI 2.1a (supports resolution up to 4K@60Hz) ConnectX-7 Smart NIC Ethernet (RJ45) |
| Operating System | NVIDIA DGX OS |
| Power Characteristics | 240 Watts |
| Dimensions | 1.98" x 5.91" x 5.91" |
| Weight | 2.64 lbs. |
| Package Contents | Lenovo ThinkStation PGX 240W power supply unit & power cord Quick User Guide 2x USB-C to USB-A dongle |
| Poids d’expédition | 1.81 kg |
| Dimensions du colis | 178 × 178 × 76 mm |
Questions sur cet article
How can I verify the 1 PFLOP Tensor performance is active after booting the NVIDIA DGX OS?
The system ships with NVIDIA DGX OS pre-installed; run the NVIDIA-supplied validation suite or `nvidia-smi` to confirm the 20-core Arm CPU and unified 128 GB LPDDR5x memory are delivering the rated 1 PFLOP Tensor throughput.
What ships in the box and what must I source separately for the ThinkStation PGX 30KL0002US?
Included: the Mini PC, 240 W power supply with cord, Quick User Guide, and two USB-C to USB-A dongles. No keyboard, mouse, display or additional storage are provided.
Which configuration choice matters most when selecting this PGX model?
This SKU is fixed at 128 GB LPDDR5x unified memory, 1 TB M.2 2242 PCIe Gen4 TLC Opal SSD, Wi-Fi 7, Bluetooth 5.3, and four 20 Gbps USB-C ports; there are no alternate capacity or version options to choose.
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