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Workstation Giada Nvidia DGX Spark GB10 — 128 GB LPDDR5x, 4 TB SSD, NVIDIA Blackwell, DGX OS, Wi‑Fi, 240W, Gold
Giada Nvidia DGX Spark GB10 is a compact workstation built around the NVIDIA GB10 Grace Blackwell Superchip with onboard NVIDIA Blackwell graphics and DGX OS preinstalled. The system includes 128 GB of LPDDR5x coherent unified memory and a 4 TB SSD, and is housed in a lightweight gold chassis weighing 1.2 kg. With a 240 W power profile and integrated Wi‑Fi 7 and high‑speed Ethernet, this workstation is designed to provide high AI compute density in a portable form factor suitable for development, inference and edge deployment.
The Giada DGX Spark GB10 combines a high‑memory LPDDR5x configuration with an energy‑efficient GB10 processor to deliver sustained AI throughput while keeping power consumption moderate. Preinstalled DGX OS and the NVIDIA AI software stack reduce setup time and enable immediate access to common frameworks and tools. A large 4 TB SSD offers fast local storage for datasets and models, while integrated networking including Wi‑Fi 7 and 10 Gbit Ethernet supports fast data transfer and remote workflows. The small 1.2 kg form factor simplifies transport between development sites and edge locations.
Set the workstation on a stable surface with adequate ventilation and connect power and network according to site requirements. DGX OS is preinstalled — follow the initial setup prompts to configure user accounts, network settings and software environment. Use the included NVIDIA AI stack and drivers to manage GPU resources, load datasets onto the 4 TB SSD, and run training or inference jobs. For model development, allocate sufficient unified memory resources and monitor thermal and power metrics during sustained workloads.
For best results, keep the workstation in a well‑ventilated area and ensure firmware and NVIDIA software are updated regularly. Use high‑quality power delivery and stable network connections for large data transfers. When running extended training or inference sessions, monitor system temperature and power draw and schedule maintenance windows for backups of critical datasets to external storage.
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