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Two compact silver cubes side by side with a connecting cable

PNY Technologies, Inc.

PNY Technologies, Inc. NVDGXSPARK2PK-KIT barebone mini PC 20-core ARM 128GB LPDDR5x 4TB NVME WiFi 7

SKU CH-6HWY-A1K54 MPN NVDGXSPARK2PK-KIT

Two NVIDIA DGX Spark units linked by a ConnectX-7 cable deliver 20-core ARM compute, 128GB LPDDR5x unified memory, 4TB NVME storage and WiFi 7 connectivity in a compact barebone kit

  • CPU Type20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm
  • CPU Cores20-Core
  • Memory installed128GB LPDDR5x, unified system memory
  • Storage Installed4TB NVME M.2 SSD with self-encryption
  • Discrete Graphic CardNVIDIA Blackwell Architecture
  • Max LAN Speed10Gbps

Option 2-Pack

  • 20-core ARM CPU with 10 Cortex-X925 and 10 Cortex-A725 cores
  • 128GB unified LPDDR5x memory delivering 273 GB/s bandwidth on 256-bit interface
  • 4TB NVME SSD storage with self-encryption for data protection
  • WiFi 7 and Bluetooth 5.3 with 10Gbps Ethernet for high-speed connectivity
  • Two DGX Spark units with ConnectX-7 Smart NIC and included connect cable

NVIDIA DGX Spark twin pack

This bundle contains two NVIDIA DGX Spark mini PCs built around the GB10 Grace Blackwell Superchip. Each unit integrates a 20-core Arm processor with ten Cortex-X925 and ten Cortex-A725 cores, 128 GB of unified LPDDR5x memory and a 4 TB self-encrypting NVME M.2 SSD. The pair is intended for developers and researchers who need desktop-scale AI compute without a full rack.

DGX Spark Connect Cable included

A single DGX Spark Connect Cable ships in the box to link the two systems directly, enabling multi-node workloads and cluster-style software stacks. The unified 256-bit memory interface delivers 273 GB/s bandwidth per unit, so the interconnect can move model shards and training data between nodes without saturating the local fabric. DGX OS is pre-loaded on both machines for immediate containerised deployment.

Verify power and network provisioning

Each Spark requires its own power supply, so confirm two suitable outlets or a PDU with adequate headroom before ordering. The rear panel provides one HDMI 2.1a port, four USB Type-C ports, a 10 Gbps RJ45 jack and a ConnectX-7 Smart NIC per unit; ensure your switch, cabling and any required VLANs support 10 GbE and the Smart NIC feature set. Wireless clients will need Wi-Fi 7 and Bluetooth 5.3 compatible infrastructure.

주요 특징

  • 20-core ARM CPU with 10 Cortex-X925 and 10 Cortex-A725 cores
  • 128GB unified LPDDR5x memory delivering 273 GB/s bandwidth on 256-bit interface
  • 4TB NVME SSD storage with self-encryption for data protection
  • WiFi 7 and Bluetooth 5.3 with 10Gbps Ethernet for high-speed connectivity
  • Two DGX Spark units with ConnectX-7 Smart NIC and included connect cable

사양

BrandPNY
ModelNVDGXSPARK2PK-KIT
CPU Type20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm
CPU Cores20-Core
Memory installed128GB LPDDR5x, unified system memory
Storage Installed4TB NVME M.2 SSD with self-encryption
Discrete Graphic CardNVIDIA Blackwell Architecture
Max LAN Speed10Gbps
Wireless LAN802.11be
WiFi GenerationWi-Fi 7
BluetoothBluetooth 5.3
HDMI1 x HDMI 2.1a
Rear USB4 x USB Type C
RJ451
Other Rear Ports1 x ConnectX-7 Smart NIC
Dimensions1.99" x 5.91" x 5.91"
Weight2.65 lbs.
Packaging2 x NVIDIA DGX Spark
1 x Quick Start Card
1 x Support Card
1 x Power Supply
1 x DGX Spark Connect Cable
배송 무게7.42 kg
포장 크기541 × 292 × 178 mm

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이 상품에 대한 질문

Will the 128GB LPDDR5x unified memory ever need upgrading or can it be replaced?

The 128GB LPDDR5x is soldered as unified system memory on a 256-bit interface with 273 GB/s bandwidth, so it cannot be upgraded or replaced after purchase.

What limits sustained workloads first — the 20-core ARM CPU or the Blackwell GPU?

The 20-core ARM CPU with 10 Cortex-X925 and 10 Cortex-A725 cores shares the 128GB LPDDR5x pool with the Blackwell GPU, so memory bandwidth and capacity become the first bottleneck under continuous heavy loads.

How loud and hot does the unit get when running AI workloads all day?

The compact 1.99 x 5.91 x 5.91 inch chassis uses active cooling for the GB10 Superchip; expect noticeable fan noise and warm surface temperatures during sustained FP4 petaFLOP workloads.

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