The NVIDIA DGX Station achieves its impressive memory bandwidth through several key technologies:
1. HBM3e Memory: The DGX Station utilizes up to 288GB of High-Bandwidth Memory 3e (HBM3e), which is a type of stacked memory known for its high bandwidth and low latency. This memory technology is crucial for delivering the system's high memory bandwidth, reaching up to 8 TB/s[1][7][8].
2. LPDDR5x Memory: In addition to HBM3e, the DGX Station supports up to 496GB of LPDDR5x memory, which is a type of low-power DRAM designed for high-bandwidth applications. This memory contributes to the system's overall coherent memory space of 784GB and provides a bandwidth of 396 GB/s[1][8].
3. NVLink-C2C Interconnect: The DGX Station employs the NVLink-C2C interconnect technology, which enables a coherent memory model between the CPU and GPU. This technology significantly enhances memory bandwidth by allowing seamless data transfer between the CPU and GPU, solving one of the major bottlenecks in AI development workloads[2][4].
4. Grace CPU and Blackwell Ultra GPU: The system is powered by a Grace CPU and a Blackwell Ultra GPU, both of which are designed to optimize AI performance. The combination of these components with the NVLink-C2C interconnect ensures efficient data communication and processing, further contributing to the system's high memory bandwidth[1][2].
These technologies collectively enable the DGX Station to provide a substantial memory bandwidth, making it suitable for demanding AI training and inferencing tasks that previously required data center resources.
Citations:
[1] https://www.theregister.com/2025/03/18/gtc_frame_nvidias_budget_blackwell/
[2] https://www.stocktitan.net/news/NVDA/nvidia-announces-dgx-spark-and-dgx-station-personal-ai-vg4pfhn7jedk.html
[3] https://images.nvidia.com/content/newsletters/email/pdf/DGX-Station-WP.pdf
[4] https://investor.nvidia.com/news/press-release-details/2025/NVIDIA-Announces-DGX-Spark-and-DGX-Station-Personal-AI-Computers/default.aspx
[5] https://www.youtube.com/watch?v=krBh0Von-2A
[6] https://www.skyblue.de/uploads/Datasheets/nvidia_twp_dgx_a100_system_architecture.pdf
[7] https://www.reddit.com/r/LocalLLaMA/comments/1jee2b2/nvidia_dgx_spark_project_digits_specs_are_out/
[8] https://www.reddit.com/r/hardware/comments/1jej1uk/nvidia_announces_dgx_spark_and_dgx_station/
[9] https://www.robusthpc.com/wp-content/uploads/2021/11/nvidia-dgx-station-a100-system-architecture-white-paper_published.pdf