The NVIDIA DGX Spark and DGX Station are both designed for AI computing but differ significantly in their CPU and GPU specifications, reflecting their distinct purposes and capabilities.
DGX Spark
- CPU: The DGX Spark features the NVIDIA GB10 Grace Blackwell Superchip, which includes 20 Arm cores. This setup is optimized for a desktop form factor and is designed to provide efficient processing for AI workloads[2][6].- GPU: The GB10 Superchip includes a powerful NVIDIA Blackwell GPU with fifth-generation Tensor Cores and FP4 support. This configuration delivers up to 1,000 trillion operations per second, making it suitable for fine-tuning and inference tasks with advanced AI models[1][3].
- Memory: The DGX Spark comes with 128GB of unified LPDDR5x memory, which is sufficient for many AI development tasks but less than what the DGX Station offers[2].
DGX Station
- CPU: The DGX Station is equipped with a high-performance NVIDIA Grace CPU featuring 72 CPU cores. This setup is significantly more powerful than the DGX Spark, catering to more demanding AI workloads[2][11].- GPU: The DGX Station utilizes the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, which includes an NVIDIA Blackwell Ultra GPU. This GPU features the latest-generation Tensor Cores and FP4 precision, providing superior performance for large-scale AI model training and inference[1][5].
- Memory: The DGX Station boasts a massive 784GB of coherent memory space, which is much larger than the DGX Spark's memory. This extensive memory capacity is crucial for handling complex AI tasks that require significant data processing[1][5].
In summary, the DGX Spark is designed for more immediate and accessible AI computing needs, while the DGX Station is tailored for more demanding AI workloads, offering significantly more powerful CPU and GPU capabilities along with a much larger memory capacity.
Citations:
[1] https://nvidianews.nvidia.com/news/nvidia-announces-dgx-spark-and-dgx-station-personal-ai-computers
[2] https://www.pcmag.com/news/what-is-nvidias-dgx-station-a-new-specialized-desktop-line-for-ai-work
[3] https://bgr.com/tech/nvidia-just-announced-two-new-personal-ai-supercomputers/
[4] https://mcomputers.cz/en/products-and-services/nvidia/dgx-systems/nvidia-dgx-station-a100/
[5] https://opentools.ai/news/nvidia-unleashes-the-future-with-personal-ai-supercomputers
[6] https://arstechnica.com/ai/2025/03/nvidia-announces-dgx-desktop-personal-ai-supercomputers/
[7] https://xenon.com.au/product/nvidia-dgx-station/
[8] https://www.nvidia.com/en-us/products/workstations/dgx-station/
[9] https://www.techpowerup.com/334300/nvidia-announces-dgx-spark-and-dgx-station-personal-ai-computers
[10] https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/dgx-station/dgx-station-print-explorer-datasheet-letter-final-web.pdf
[11] https://www.notebookcheck.net/Nvidia-unveils-DGX-Station-desktop-AI-supercomputer-with-72-core-CPU-and-Blackwell-Ultra-GPU.981669.0.html
[12] https://www.youtube.com/watch?v=krBh0Von-2A