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NVIDIA
A compact AI edge system with 128GB LPDDR5x memory, 4TB NVMe SSD and WiFi 7 for local model development
The NVIDIA DGX Spark is a desktop AI supercomputer powered by the GB10 Grace Blackwell Superchip. It delivers up to one petaFLOP of FP4 AI performance in a compact, energy-efficient form factor. The system includes 128GB of LPDDR5x unified memory and a 4TB NVMe SSD. It ships with a preinstalled NVIDIA AI software stack for immediate development.
This system targets developers and researchers who need to prototype, fine-tune, and run large reasoning models locally. It supports models up to 200 billion parameters at FP4 precision. It is not suited for workloads requiring more than 128GB of unified memory per unit. Buyers needing multi-node cluster scale or higher parameter counts should look at larger infrastructure.
The 128GB LPDDR5x unified memory provides headroom for large model inference and fine-tuning tasks directly on the desktop. The 4TB NVMe SSD offers substantial local storage for datasets and model checkpoints. Memory capacity limits the maximum model size to 200 billion parameters at FP4. Storage headroom depends on dataset size and versioning needs.
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The system ships with a connecting cable; plug it into a standard AC outlet and the GB10 Grace Blackwell Superchip powers on without any external PSU.
The 128 GB of LPDDR5x unified memory is local to the Superchip and is not shared with any other graphics card in the host machine.
Run an NVIDIA AI software stack benchmark; the dashboard reports up to 1 petaFLOP of FP4 throughput and confirms 200 billion parameter model capacity.
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