With the ability to support up to 200-billion-parameter models locally (assuming FP4 quantization), one can even connect two of these units using the built-in Nvidia ConnectX 7 NIC to gain double the performance. The DGX Spark runs on Nvidia’s DGX OS, which is based on Ubuntu and supports the CUDA software stack, which has become crucial for AI development. Nvidia has also roped in a range of software partners to ensure that their tools work well with DGX Spark, including Anaconda, Cadence, ComfyUI, Docker, Google , Hugging Face, JetBrains, LM Studio, Meta, Microsoft , Ollama, and Roboflow.
If you're interested in the DGX Spark, several OEM partners, including Dell , Asus, MSI, and HP, also offer similarly designed systems built around comparable hardware, delivering similar levels of performance. In fact, the Asus Ascent GX10 is a solid alternative to the DGX Spark as it is cheaper at $3,266.53, with the only difference being a smaller 1TB SSD.
Nvidia confirmed the updated pricing for the DGX Spark took effect this week, but that existing orders will be honored at the pricing at the time of ordering. No hardware changes have been made to the device as part of the increase.
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Reference reading
- https://www.tomshardware.com/desktops/mini-pcs/SPONSORED_LINK_URL
- https://www.tomshardware.com/desktops/mini-pcs/nvidia-dgx-spark-gets-18-percent-price-increase-as-memory-shortages-bite-founders-edition-now-usd4-699-up-from-usd3-999#main
- https://www.tomshardware.com
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Informational only. No financial advice. Do your own research.