HP ZGX Nano G1n NVIDIA DGX Spark Grace Blackwell Computer - 4TB
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Secure Desk-Side AI on the NVIDIA DGX™ Spark Platform
The HP ZGX Nano G1n AI Station brings the NVIDIA GB10 Grace Blackwell Superchip to your desk in a palm-sized chassis HP engineered for secure, sustainable AI development. Built for developers, researchers and data scientists who need to prototype, run and fine-tune large models locally, it pairs petaflop-scale AI performance with enterprise-grade security and a whisper-quiet build.
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FAQ
Frequently asked questions
Everything you need to know about the HP ZGX Nano G1n — what's included, support, and Malaysian fulfilment.
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What's included with the HP ZGX Nano G1n (NVIDIA DGX Spark) from EMARQUE?
The HP ZGX Nano G1n AI Station ships as a complete personal AI supercomputer: the GB10-based system, a 240W external USB-C power adapter and cable, and HP's documentation, with NVIDIA DGX OS 7 pre-installed. HP frames it as big AI performance in a tiny footprint — prototype, fine-tune and run inference on models up to 200 billion parameters locally, keeping sensitive data on-premises. 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.
What sets HP's variant apart in the DGX Spark family (Gigabyte, ASUS, Dell and others each make their own): the HP ZGX Toolkit, a ready-to-go development environment with pre-loaded models, runtimes and tools including MLflow and Ollama — HP says it takes you from setup to first workflow up to 45% faster than a do-it-yourself build. For security, HP targets regulated environments with self-encrypting (OPAL) storage, TPM 2.0 in FIPS 140-2 mode, Common Criteria EAL4+ and BIOS-level secure boot, an optional air-gapped build with no Wi-Fi or Bluetooth radios, and the HP Remote System Controller for out-of-band management. Two units connect to run models up to 405 billion parameters (a compatible QSFP cable is sold separately).
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What are the exact specifications of this HP ZGX Nano G1n unit?
Published HP ZGX Nano G1n specifications: NVIDIA GB10 Grace Blackwell Superchip (20-core Arm CPU — 10× Cortex-X925 + 10× Cortex-A725 — plus a Blackwell GPU); 128GB LPDDR5X coherent unified memory at 273 GB/s; 4TB self-encrypting (OPAL) NVMe SSD — PCIe Gen4 x4 drive on a Gen5-capable M.2 slot; 10GbE RJ-45 plus NVIDIA ConnectX-7 with dual 200GbE QSFP112 ports; 3× USB 3.2 Type-C (20Gbps, DisplayPort 1.4a) plus a 240W USB-C power input; HDMI 2.1a; Wi-Fi 7 and Bluetooth 5.4; 150 × 150 × 51 mm chassis from ~1.2 kg (2.6 lb). Software is NVIDIA DGX OS 7 / Ubuntu 24.04 (Windows not supported).
Performance ceiling is approximately 1 petaFLOP (1,000 TOPS) of FP4 AI compute, supporting models up to 200 billion parameters on a single unit. For exact stock-level configuration questions, email business@emarque.co.
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How long is the warranty, and what support does EMARQUE provide?
The HP ZGX Nano G1n ships with HP's 3-year manufacturer warranty 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 HP warranty claim on your behalf so you don't have to navigate the manufacturer's process yourself.
Because this unit targets regulated environments — self-encrypting storage, TPM 2.0 in FIPS 140-2 mode, secure boot — deployment often carries security and compliance requirements. For those, plus pre-validation testing, OS reinstall, driver and network setup, or EMARQUE AI stack deployment, solutions are available from the EMARQUE AI team on request. Scope and charges quoted on enquiry.
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What real-world performance has the HP ZGX Nano G1n demonstrated in independent testing?
Independent hands-on testing by StorageReview measured concrete throughput on the HP ZGX Nano G1n:
- Llama 3.1 8B FP4 inference — up to 2,774 tokens/sec at batch size 64
- GPT-OSS-20B — up to 4,345 tokens/sec (prefill-heavy) at batch 64
- GPT-OSS-120B — up to 2,773 tokens/sec at batch 64
- Storage — 4.6 GiB/s read (16K) and up to 5.5 GiB/s (1M) via GPU Direct Storage
- Unified memory bandwidth — 273 GB/s LPDDR5X
On thermals and acoustics, reviewers measured a CPU peak of 77.3°C and GPU peak of 69°C, with noise at 22 dBA idle and 27.6 dBA under load and system power around 228W peak / 36–38W idle. StorageReview positioned the HP unit as a secure, sustainable desk-side AI node — its self-encrypting storage and security certifications set it apart from other GB10 variants.