The power consumption of the DGX Spark and DGX Station varies significantly due to their different designs and capabilities.
The DGX Spark, previously known as Project Digits, is a compact AI supercomputer designed for developers and researchers. It features the GB10 Grace Blackwell Superchip, delivering up to 1,000 trillion operations per second (TOPS) of AI compute. The DGX Spark consumes up to 170W of power, making it a power-efficient solution for AI development and deployment in a compact form factor[1][2][3].
On the other hand, the DGX Station is a more powerful desktop system designed for extensive AI training and inferencing. It incorporates the advanced GB300 Blackwell Ultra GPU and supports up to 784GB of unified memory. The DGX Station has a much higher power requirement, with a maximum power consumption of 1,500W. This is due to its server-class components and the need to support demanding AI workloads, making it suitable for professional users and larger enterprises requiring data center-level performance[1][4][6].
In summary, the DGX Spark is designed for efficiency and compactness, while the DGX Station is built for high-performance AI tasks, reflecting their differing power consumption profiles.
Citations:
[1] https://beebom.com/nvidia-project-digits-rebranded-to-dgx-spark-dgx-station-announced/
[2] https://www.maginative.com/article/nvidia-unveils-dgx-spark-and-dgx-station-desktop-ai-supercomputers-for-the-developer-masses/
[3] https://www.reddit.com/r/hardware/comments/1jej1uk/nvidia_announces_dgx_spark_and_dgx_station/
[4] https://docs.nvidia.com/dgx/dgx-station-a100-user-guide/hardware-specifications-station-a100.html
[5] https://opentools.ai/news/nvidia-unleashes-the-future-with-personal-ai-supercomputers
[6] https://xenon.com.au/product/nvidia-dgx-station/
[7] https://images.nvidia.com/content/newsletters/email/pdf/DGX-Station-WP.pdf
[8] https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/dgx-station/dgx-station-print-explorer-datasheet-letter-final-web.pdf
[9] https://www.pcmag.com/news/what-is-nvidias-dgx-station-a-new-specialized-desktop-line-for-ai-work
[10] https://www.techpowerup.com/334300/nvidia-announces-dgx-spark-and-dgx-station-personal-ai-computers
[11] https://en.wikipedia.org/wiki/Nvidia_DGX