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NVIDIA DGX Spark Bundle - 1 DGX Spark Units + 1 Connecting Cable

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Features

  • Bundle Includes a DGX Spark unit and a DGX Spark stacking cable QSFP/CX7
  • NVIDIA DGX Spark AI Supercomputer - NVIDIA GB10 Grace Blackwell superchip; 1 PFLOPS of FP4 AI performance; 128GB of coherent, unified system memory; ConnectX-7 Smart NIC; 4TB NVME.M2 with self-encryption
  • NVIDIA Certified DGX Spark Stacking Passive QSFP Cable: QSFP to QSFP112, 32AWG, 1.31 ft. (0.40 m), LSZH, 200 GbE Throughput Cable for NVIDIA DGX Spark Dual-System Interconnect and AI Clusters
  • Supercomputer performance directly to your desk in a compact, energy-efficient design, enabling enterprise-scale AI and high-performance computing right where you need it
  • The power of Grace Blackwell architecture, delivering up to 1 petaFLOP of AI performance for local model fine-tuning, inference, and analytics, accelerating your time-to-solution

Description

NVIDIA DGX Spark Bundle - A Grace Blackwell AI Supercomputer on your desk One DGX Spark units and a connecting cable NVIDIA GB10 Grace Blackwell superchip 1 PFLOPS of FP4 AI performance 128GB of coherent, unified system memory ConnectX-7 Smart NIC 4TB NVME.M2 with self-encryption Bundle Includes: 1 x NVIDIA DGX Spark 1 x DGX Spark Stacking Cable QSFP/CX7 Please kindly note that the components may ship separately

Graphics Coprocessor: NVIDIA GB10 Grace Blackwell


Brand: NVIDIA


Graphics Ram Size: 128 GB


Graphics Processor Manufacturer: NVIDIA


Compatible Devices: Desktop


Graphics Coprocessor: NVIDIA GB10 Grace Blackwell


Graphics Card Ram: 128 GB


Compatible Devices: Desktop


Graphics Card Interface: PCI Express


Brand: NVIDIA


Video Processor: NVIDIA


Model Name: DGX Spark


Unit Count: 1.0 Count


Frequently asked questions

This product is currently out of stock. Please check back later for shipping info.

Yes, absolutely! You may return this product for a full refund within 30 days of receiving it.

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Top Amazon Reviews


  • Best LLM device
The best option for running your own LLMS currently. Highest token generation for concurrent LLM usage. Next best option would be Mac studio with high RAM configurations. Most of those Mac studios are all sold out. Nvidia please send me one of these!
Reviewed in the United States on March 26, 2026 by Zahir Rahman

  • Consistent Overheating Hardware
Buyer beware: research reports of thermal throttling and overheating. The hardware has strong potential on paper, but performance may drop significantly under sustained load.
Reviewed in the United States on March 21, 2026 by Buckshawts

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