The storage capacity of the NVIDIA DGX Spark and DGX Station differs significantly, reflecting their distinct design purposes and target applications.
**DGX Spark: The DGX Spark is equipped with a storage provision that includes either a 1TB or 4TB SSD, which is suitable for its role as a compact, high-performance AI computing system. This storage capacity is designed to support the immediate needs of AI model deployment and experimentation, allowing developers and researchers to quickly prototype and refine AI models[4].
**DGX Station: The DGX Station, on the other hand, is designed for more demanding AI workloads and is built with the GB300 Grace Blackwell Ultra Desktop Superchip. While specific storage details for the new DGX Station model are not extensively detailed in recent announcements, previous iterations of DGX Station systems have included substantial storage options. For example, older models like the DGX Station A100 feature a 7.68 TB internal data storage capacity, which is significantly larger than the DGX Spark's storage options[8]. However, the exact storage specifications for the latest DGX Station model featuring the GB300 chip are not explicitly mentioned in recent releases.
In summary, the DGX Spark offers more modest storage options suitable for its compact design and immediate AI deployment needs, while the DGX Station is generally equipped with larger storage capacities to support complex AI training and inferencing tasks, although specific details for the latest model are pending.
Citations:
[1] https://www.stocktitan.net/news/NVDA/nvidia-announces-dgx-spark-and-dgx-station-personal-ai-vg4pfhn7jedk.html
[2] https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/dgx-station/dgx-station-print-explorer-datasheet-letter-final-web.pdf
[3] https://opentools.ai/news/nvidia-unleashes-the-future-with-personal-ai-supercomputers
[4] https://www.pcmag.com/news/what-is-nvidias-dgx-station-a-new-specialized-desktop-line-for-ai-work
[5] https://www.lakeshoreit.com/Products/overview/M019960637
[6] https://docs.nvidia.com/dgx/dgxa100-user-guide/introduction-to-dgxa100.html
[7] https://nvidianews.nvidia.com/news/nvidia-announces-dgx-spark-and-dgx-station-personal-ai-computers
[8] https://nanoporetech.com/document/nvidia-dgx-station-a100-installation-and-use
[9] https://www.maginative.com/article/nvidia-unveils-dgx-spark-and-dgx-station-desktop-ai-supercomputers-for-the-developer-masses/
