The DGX Spark and DGX Station are both part of Nvidia's lineup of personal AI supercomputers, but they differ significantly in terms of memory and storage capabilities.
DGX Spark
- Memory: The DGX Spark features 128GB of unified LPDDR5x memory. It has a memory bandwidth of 273GB/s, which is crucial for handling AI workloads efficiently[1][2][5].
- Storage: The system comes equipped with either a 1TB or 4TB SSD, providing ample storage for AI models and data[1].
DGX Station
- Memory: The DGX Station boasts a much larger memory capacity, with 784GB of coherent memory space. This extensive memory is designed to support large-scale AI model training and inferencing, making it suitable for more demanding professional workloads[4][5][8].
- Storage: While specific storage details for the DGX Station are not as clearly outlined as for the DGX Spark, its focus on data-intensive tasks suggests it would likely include high-capacity storage solutions, possibly similar to or exceeding the SSD configurations of the DGX Spark.
In summary, the DGX Station offers significantly more memory and is likely designed with larger storage capacities in mind, catering to more complex AI applications compared to the DGX Spark. The DGX Spark, on the other hand, is optimized for immediate AI model deployment and experimentation with its more compact form factor and lower storage options.
Citations:
[1] https://www.pcmag.com/news/what-is-nvidias-dgx-station-a-new-specialized-desktop-line-for-ai-work
[2] https://www.reddit.com/r/LocalLLaMA/comments/1jef1dd/dgx_spark_previously_digits_has_273gbs_memory/
[3] https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/dgx-station/dgx-station-print-explorer-datasheet-letter-final-web.pdf
[4] https://opentools.ai/news/nvidia-unleashes-the-future-with-personal-ai-supercomputers
[5] https://www.techpowerup.com/forums/threads/nvidia-announces-dgx-spark-and-dgx-station-personal-ai-computers.334300/
[6] https://www.youtube.com/watch?v=krBh0Von-2A
[7] https://www.embeddedindia.com/nvidia-dgx-station.html
[8] https://www.constellationr.com/blog-news/insights/nvidia-launches-dgx-spark-dgx-station-personal-ai-supercomputers
[9] https://nvidianews.nvidia.com/news/nvidia-announces-dgx-spark-and-dgx-station-personal-ai-computers
[10] https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/dgx-station/nvidia-dgx-station-datasheet-uk.pdf