Key Takeaways
1. The Nvidia DGX Spark features a powerful 20-core Arm CPU, 128 GB of LPDDR5x RAM, and 4 TB of NVMe M2 storage, achieving up to one petaflop of Tensor core performance while consuming only 240 watts of power.
2. It allows AI developers to load large models entirely into memory, eliminating the need for model quantization or GPU VRAM swapping, which simplifies the prototyping and tuning process.
3. Although not as fast as Nvidia’s higher-end GPUs (RTX 5080, 5090, Pro 6000), its unified RAM offers significant advantages for AI model development.
4. The suggested retail price of the DGX Spark is $3,999.99.
5. The DGX Spark will be widely available starting on October 15, 2025, and has been seen at Microcenter but is not yet available on the Nvidia store on Amazon.
Nvidia has kicked off the delivery of its new DGX Spark, a compact desktop made for AI model creation.
Specs and Performance
This small desktop packs a punch with a 20-core Arm CPU, which includes 10 Cortex-X925 performance cores and 10 Cortex-A725 efficiency cores. It also comes with 128 GB of LPDDR5x RAM and a whopping 4 TB of NVMe M2 storage, allowing it to achieve up to one petaflop of Tensor core performance (FP4 thanks to the sparsity feature) while consuming only 240 watts of power.
Comparison to Other GPUs
While the DGX Spark isn’t as quick as Nvidia’s RTX 5080, 5090, or Pro 6000 GPU cards according to LMSys benchmarks, it shines with its unified RAM. This enables AI developers to load large AI models entirely into memory without needing to do model quantization or GPU VRAM swapping. This feature makes it easier to prototype and tune AI models locally and offline.
Availability and Pricing
The Nvidia DGX Spark has a suggested retail price of $3,999.99 and is set to be widely available beginning on October 15, 2025. It has been spotted at Microcenter, but it has yet to show up on the Nvidia store on Amazon.
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