minirack / studio

Lenovo ThinkStation PGX in a 10-inch rack

Lenovo's ThinkStation take on GB10 in a 10-inch rack: reference-size chassis, self-encrypting storage up to 4 TB, the 1.5U mount and a 240 W adapter.

3D render of the Lenovo ThinkStation PGX, front three-quarter view on a dark studio backdrop
On this page
  1. At a glance
  2. Where it fits in a mini rack
  3. How it fits a 10-inch rack
  4. Power
  5. Networking and cabling
  6. How it differs from the NVIDIA DGX Spark
  7. Full specifications
  8. Plan it

The Lenovo ThinkStation PGX puts NVIDIA’s GB10 superchip into Lenovo’s workstation line: a 20-core Arm CPU and a Blackwell GPU sharing 128 GB of LPDDR5X, in a chassis that matches the DGX Spark’s published size and weight. Of the partner systems it is the one that sticks closest to the reference on paper, which makes it the easy choice if you want a GB10 box from a vendor whose fleet you already run.

The Lenovo ThinkStation PGX as modelled in the catalogue. Catalogue entry

At a glance

CPU NVIDIA GB10 Grace Blackwell, 20-core Arm (10 × Cortex-X925 + 10 × Cortex-A725)
GPU Blackwell, 5th-gen Tensor cores, 1 × NVENC, 1 × NVDEC
AI performance Up to 1 petaFLOP FP4
Memory 128 GB LPDDR5X unified memory, 256-bit, 273 GB/s
Storage Up to 4 TB M.2 NVMe SSD with self-encryption
Networking 10GbE RJ45, 2 × QSFP 200 Gbps (ConnectX-7), Wi-Fi 7
Size and power 150 × 150 × 50.5 mm, 1.2 kg, 240 W adapter

Where it fits in a mini rack

The 128 GB of unified memory is the reason to rack a PGX. CPU and GPU share it at 273 GB/s, so a large model loads into one pool instead of being split across a graphics card and system RAM. That turns one small box into a private AI server for the rest of the homelab.

Three ways to use it:

  • Local model serving. Run a large language model and expose it over the 10GbE port to whatever needs it: a chat interface, an IDE plug-in, a search index over your own documents. Prompts and data stay on your network.
  • Fine-tuning. Lenovo quotes up to 1 petaFLOP at FP4. That is a peak rating, not a training speed, but the Tensor cores and the shared memory pool make adapting an existing model to your own data a realistic job for one box. The self-encrypting SSD is a good place to keep a private dataset.
  • Vision work on media streams. Lenovo’s sheet lists one NVENC and one NVDEC engine alongside the GPU. Hardware decoding makes the PGX a candidate for running vision models on camera or media streams from elsewhere in the rack.

For bigger models, the two QSFP ports on the ConnectX-7 run at 200 Gbps and give you a direct link to a second GB10 system. What it is not: a hypervisor for x86 VMs or a file server. It runs NVIDIA DGX OS on Arm, and its single SSD is working space.

How it fits a 10-inch rack

The configurator checks every placement against each rack in the catalogue:

How it fits a 10-inch rack
PlacementSpaceFits
GX10 / DGX Spark mount1.5U · 154 mm deep
  • T0 fits
  • T0 Plus fits
  • T1/2 Plus fits
  • T1 fits
  • T1 Plus fits
  • T2 fits
10i hex shelf · flat2U · 155 mm deep
  • T0 fits
  • T0 Plus fits
  • T1/2 Plus fits
  • T1 fits
  • T1 Plus fits
  • T2 fits
10i hex shelf · upright4U · 155 mm deep
  • T0 fits
  • T0 Plus fits
  • T1/2 Plus fits
  • T1 fits
  • T1 Plus fits
  • T2 fits

Configurator check against each catalogue rack, not a physical-fit certification. Depth uses the catalogue model; confirm cable clearance and your hardware revision.

Nothing is blocked. The shared GX10 / DGX Spark mount holds the PGX horizontally in 1.5U at 154 mm deep and fits every RackMate frame, including the four-unit T0 at 200 mm deep.

The 10i hex shelf takes it flat in 2U or upright in 4U, at 155 mm deep. In a four-unit T0 or T0 Plus the upright option fills the frame, so lay it flat there and keep room for a switch and keystones.

Every network port is at the rear, along with the four USB-C ports, one of which is the power input. A 260 mm frame such as the RackMate T1 Plus leaves more working room behind the 154 mm mount than the 200 mm frames.

Power

Lenovo documents a 240 W adapter and no idle or load figure. The catalogue uses that rating as a planning allowance: a ceiling for budgeting, not measured draw, and it leaves out adapter losses.

Plan 240 W per PGX on the power strip and any UPS. NVIDIA’s idle and maximum figures for the DGX Spark are tempting to borrow, but they apply to NVIDIA’s own box, not automatically to every GB10 system. The adapter feeds the PGX through the rear USB-C port Lenovo lists as USB PD 3.1 power-in, so the power cable joins the network cables at the back; put the brick on the rack floor or a rear shelf.

Networking and cabling

All wired networking faces the rear: one 10GbE RJ45 jack (LAN 1) and two QSFP cages (QSFP 1 and QSFP 2) on the ConnectX-7 at 200 Gbps.

  • Patch LAN 1 to a rear keystone and pick it up on the front of the panel. Never take a cable around the side of the rack to a front switch port. A 10G copper switch port gets the full speed.
  • The QSFP cages take direct-attach copper cables or optical modules. Between two GB10 systems in the same rack, a short DAC is the simplest link.
  • Wi-Fi 7 (802.11be) and Bluetooth 5.3 are built in. In a rack, use the wire.

The four rear USB-C ports run at 20 Gbps with DisplayPort alt-mode, and there is one HDMI 2.1a output for a console.

How it differs from the NVIDIA DGX Spark

Very little, on paper. The table shows where the spec sheets diverge:

Lenovo ThinkStation PGX NVIDIA DGX Spark
Storage Up to 4 TB with self-encryption 1 TB or 4 TB with self-encryption
Media engines 1 × NVENC, 1 × NVDEC listed Not listed in the catalogue
Bluetooth 5.3 5.4
USB 4 × USB-C 20 Gbps with DisplayPort alt-mode; one is power-in 4 × USB-C, up to 3 × DisplayPort; one is power-in
Size and weight 150 × 150 × 50.5 mm, 1.2 kg 150 × 150 × 50.5 mm, 1.2 kg
Power adapter 240 W 240 W, included
Operating temperature Not listed 5–30 °C (ideal range)
Software NVIDIA DGX OS NVIDIA DGX OS

Neither spec sheet in the catalogue describes the cooling, and Lenovo gives no operating range, so treat NVIDIA’s ideal range as a sensible target and keep the rack ventilated. For rack planning the two are interchangeable: same footprint, same mount, same 240 W allowance. The choice comes down to the vendor you would rather buy from and get support from.

Full specifications

Lenovo ThinkStation PGX tech specs
Processor
CPUNVIDIA GB10 Grace Blackwell · 20-core Arm (10 × Cortex-X925 + 10 × Cortex-A725)1
GPUNVIDIA Blackwell (integrated), 5th-gen Tensor cores, 4th-gen RT cores, 1 × NVENC, 1 × NVDEC1
AI performanceUp to 1 petaFLOP FP41
Memory
RAM128 GB LPDDR5X unified system memory, 256-bit, 273 GB/s1
Storage
StorageUp to 4 TB M.2 NVMe SSD with self-encryption1
Networking
Ethernet1 × 10GbE RJ451
ConnectX-7 NIC2 × QSFP 200 Gbps (ConnectX-7)1
Wi-FiWi-Fi 7 (802.11be)1
BluetoothBluetooth 5.31
Ports & I/O
USBRear: 4 × USB-C 20 Gbps (USB 3.2 Gen 2x2) with DisplayPort alt-mode; one is USB PD 3.1 power-in1
Video outputs1 × HDMI 2.1a; DisplayPort over USB-C1
Management & software
Operating systemNVIDIA DGX OS1
Power
Power supply240 W adapter1
Physical
Dimensions150 × 150 × 50.5 mm (W × D × H)1
Weight1.2 kg1
  1. psref.lenovo.com/syspool/Sys/PDF/ThinkStation/ThinkStati…

Specifications reviewed 2026-10-06. Hardware revisions and configurations vary; check the sources for your exact unit.

Plan it

Open the Lenovo ThinkStation PGX in the catalogue to add it to a rack plan with the mount or shelf above. No community build uses it yet.

The NVIDIA DGX Spark guide covers the reference design and every partner version, and the Dell Pro Max GB10 guide covers the GB10 system with the largest adapter and a choice of M.2 drive sizes.

Sources

  1. Lenovo ThinkStation PGX PSREF specifications (PDF)
  2. NVIDIA DGX Spark product page (for the comparison)
  3. NVIDIA DGX Spark hardware overview (for the comparison)
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