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Lenovo ThinkStation PGX NVIDIA DGX Spark Grace Blackwell Computer - 4TB

Regular price RM24,388.00
Regular price Sale price RM24,388.00
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Corporate Desk-Side AI on the NVIDIA DGX™ Spark Platform

The Lenovo ThinkStation PGX is Lenovo's build of the NVIDIA DGX Spark platform — a palm-sized desktop AI supercomputer powered by the NVIDIA GB10 Grace Blackwell Superchip. Built for developers, AI researchers and data scientists, it brings ThinkStation reliability and manageability to local AI: prototype, fine-tune and run models up to 200 billion parameters on your desk, with your data staying on-premises.

  • Petaflop-scale AI performance: NVIDIA GB10 Grace Blackwell Superchip — a 20-core Arm CPU (10x Cortex-X925 + 10x Cortex-A725) with a Blackwell GPU, delivering 1 petaFLOP / 1000 TOPS of FP4 compute.
  • 128GB LPDDR5X unified memory: coherent memory shared across CPU and GPU via NVLink-C2C at 273 GB/s, for running and fine-tuning models up to 200 billion parameters on a single unit.
  • Scale to 405B parameters: link two ThinkStation PGX units over their integrated NVIDIA ConnectX-7 200GbE (dual QSFP) ports to work with models up to 405 billion parameters.
  • 4TB self-encrypting NVMe storage: 4TB PCIe Gen5 x4 M.2 2242 NVMe SSD with Opal hardware self-encryption for datasets, checkpoints and model weights.
  • Connectivity: 10GbE RJ-45, 3x USB-C (USB4 20Gb/s, DisplayPort 2.1), HDMI 2.1a, Wi-Fi 7 and Bluetooth 5.3.
  • Compact and efficient: a 150 x 150 x 50.5 mm chassis, ~1.2 kg, powered by a 240W supply.
  • Full-stack AI: NVIDIA DGX OS (Ubuntu Linux Pro base) with the complete NVIDIA AI software stack — PyTorch, Jupyter and framework images — pre-installed for local development, fine-tuning and inference.

Supplied in Malaysia by EMARQUE with local warranty and setup support. Talk to the EMARQUE AI team to scope the right setup for your workload.

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FAQ

Frequently asked questions

Everything you need to know about the Lenovo ThinkStation PGX — what's included, support, and Malaysian fulfilment.

  • What's included with the Lenovo ThinkStation PGX (NVIDIA DGX Spark) from EMARQUE?

    The Lenovo ThinkStation PGX ships as a complete personal AI supercomputer: the GB10-based system, a 240W external USB-C power adapter and cable, and Lenovo's documentation, with NVIDIA DGX OS pre-installed. All I/O is USB Type-C, so plan for a USB-C-to-USB-A dongle for legacy peripherals. For teams that need deeper deployment help, solutions are available from the EMARQUE AI team on request (pre-validation testing, setup assistance, EMARQUE AI stack, workflow tuning).

    What sets Lenovo's variant apart in the DGX Spark family (Gigabyte, ASUS, Dell, HP, MSI and others each make their own): ThinkStation reliability and manageability brought to desk-side AI. Lenovo houses the GB10 platform in a palm-sized 150 x 150 x 50.5 mm chassis and differentiates on I/O and security — USB4 20Gb/s Type-C ports with DisplayPort 2.1, a 4TB PCIe Gen5 self-encrypting NVMe M.2 SSD, and the integrated NVIDIA ConnectX-7 with dual 200GbE QSFP ports for connecting two units. Two ThinkStation PGX units link to run models up to 405 billion parameters.

  • What are the exact specifications of this Lenovo ThinkStation PGX unit?

    Published Lenovo ThinkStation PGX specifications: NVIDIA GB10 Grace Blackwell Superchip (20-core Arm CPU — 10x Cortex-X925 + 10x Cortex-A725 — plus a Blackwell GPU); 128GB LPDDR5X coherent unified memory at 273 GB/s; 4TB PCIe Gen5 x4 M.2 2242 NVMe SSD with Opal self-encryption; NVIDIA ConnectX-7 with dual 200GbE QSFP ports plus 10GbE RJ-45; 3x USB-C (USB4 20Gb/s, DisplayPort 2.1) and a separate USB-C power input (PD 3.1); 1x HDMI 2.1a; Wi-Fi 7 and Bluetooth 5.3; 150 x 150 x 50.5 mm chassis from ~1.2 kg. Software is NVIDIA DGX OS (Ubuntu Linux Pro base) with the NVIDIA AI software stack, PyTorch and Jupyter.

    Performance ceiling is approximately 1 petaFLOP (1,000 TOPS) of FP4 AI compute, supporting models up to 200 billion parameters on a single unit and up to 405 billion by linking two units over ConnectX-7. For exact stock-level configuration questions, email business@emarque.co.

  • How long is the warranty, and what support does EMARQUE provide?

    The Lenovo ThinkStation PGX ships with Lenovo's 1-year Onsite base warranty, upgradable to 3-year Premier Support (24x7 access to senior technicians), covering hardware faults on the unit and its components. EMARQUE's built-in role is local handling of that warranty:

    • Local point of contact — pre-sale, post-sale and warranty all routed through the same EMARQUE team. Real person, no ticket queue.
    • RMA routing — if a hardware fault appears, we route the Lenovo warranty claim on your behalf so you don't have to navigate the manufacturer's process yourself.

    For deeper post-sale needs — pre-validation testing, OS reinstall, driver and network setup, Spark Stacking configuration, or EMARQUE AI stack deployment — solutions are available from the EMARQUE AI team on request. Scope and charges quoted on enquiry.

  • What real-world performance does the Lenovo ThinkStation PGX deliver?

    The Lenovo ThinkStation PGX delivers the DGX Spark family's standard performance envelope — approximately 1,000 TOPS of AI compute (FP4), 273 GB/s LPDDR5X unified memory bandwidth, and support for local inference on models up to ~200 billion parameters (up to 405 billion by linking two units over their ConnectX-7 200GbE ports).

    Where Lenovo's variant differentiates:

    • ThinkStation enterprise pedigree — Lenovo's workstation reliability, build quality and manageability brought to a desk-side GB10 AI node, aimed at corporate and regulated deployments.
    • USB4 20Gb/s connectivity — three USB-C (USB4) ports with DisplayPort 2.1, faster than the USB 3.2 I/O on several other DGX Spark variants.
    • 4TB self-encrypting NVMe storage — 4TB PCIe Gen5 with Opal hardware encryption for secure-at-rest local storage of datasets, checkpoints and model weights.

    Independent reviews (ServeTheHome, XDA) confirmed the platform running 200-billion-parameter models locally. Variant-specific throughput and thermals across the Spark family depend on each partner's chassis and SSD configuration; for workload sizing relative to your specific use case, the EMARQUE AI team can review and quote.