NVIDIA DGX Spark | Grace Blackwell AI Supercomputer | 940-54242-0005-000
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NVIDIA DGX Spark
Compact AI Desktop System architecture with integrated Grace Blackwell compute in the NVIDIA DGX Spark (SKU 940-54242-0005-000)
NVIDIA DGX Spark is a compact AI desktop system built around the NVIDIA GB10 Grace Blackwell Superchip, combining a 20-core Grace Arm CPU with an integrated Blackwell GPU to enable local development, prototyping, and low-latency inference without rack infrastructure. The unified 128GB LPDDR5x ECC memory pool is shared across CPU and GPU, reducing data movement and supporting larger model contexts and RAG pipelines within a single coherent address space.
With an integrated platform design rather than PCIe add-in expansion, NVIDIA DGX Spark prioritizes deterministic latency, power efficiency, and predictable performance per watt for on-device AI workflows. Storage is provisioned via an M.2 2280 NVMe SSD (self-encrypting), aligning with data-locality requirements and secure iteration on proprietary datasets. Connectivity is engineered for both enterprise and lab environments through 10GbE RJ45, dual 200GbE QSFP via NVIDIA ConnectX-7 SmartNIC, plus Wi‑Fi 7 and Bluetooth 5.3, enabling high-throughput ingest, fast checkpoint movement, and hybrid AI deployment models.
Why Choose the NVIDIA DGX Spark?
NVIDIA DGX Spark delivers a high density-to-performance ratio in a portable footprint, allowing teams to standardize a reproducible AI development node that mirrors data center NVIDIA software stacks while remaining deployable near data sources. NVIDIA DGX Spark supports remote administration via BMC/IPMI, enabling enterprise operational control and consistent lifecycle handling across distributed sites.
NVIDIA applies a system-level engineering approach that couples silicon, firmware, networking, and the NVIDIA DGX OS software layer to improve stability under sustained AI load, streamline driver and kernel alignment, and maintain compatibility with modern security and management practices expected in enterprise environments.
Key Applications:
- Local LLM fine-tuning and prototyping
- On-device AI inference and RAG
- Edge and hybrid AI experimentation
- Secure data-local model iteration
- High-speed dataset staging and checkpoint transfer
At Happyware - Server Hardware you benefit from non-binding offers tailored to your NVIDIA DGX Spark deployment plan and an extended warranty up to 6 years to protect long-term engineering workflows and distributed rollouts.
Technical details of NVIDIA DGX Spark
How long is the Warranty and how you can get technical support for NVIDIA DGX Spark
| Warranty: | 36 months (part) |
|---|---|
| RMA through customer: | yes |
| RMA Url: | https://enterprise-support.nvidia.com/s/rma-serial-check |
| Description: | Items must be returned first before a replacement is sent. No guaranteed delivery times. On-site service is not standard. |
| Support Portal: | https://support.happyware.com |
|---|
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