Dell DGX GB10 128G High Bandwidth Unified Memory Large Volume SSD Artificial Intelligence Inference Computing Server

Product Description

DGX Spark Banner
DGX Spark Overview
📊 Technical Specifications
System Architecture * Chipset: GB10 Grace Blackwell Superchip
* Combines a 20-core Arm CPU with a Blackwell GPU via NVLink-C2C interconnect
* Coherent unified memory architecture for CPU-GPU data sharing
CPU 20-core Arm v9 processor
* 10× Cortex-X925 cores (high-performance)
* 10× Cortex-A725 cores (energy-efficient)
GPU Blackwell architecture with:
* 6,144 CUDA cores (equivalent to RTX 5070)
* 5th-generation Tensor Cores (1,000 AI TOPS FP4 precision)
* 4th-generation RT Cores (ray tracing acceleration)
Video Engines 1× NVENC (9th gen), 1× NVDEC (5th gen)
System Memory 28GB LPDDR5X unified memory
* 256-bit interface, 273GB/s bandwidth
* Supports models up to 200B parameters locally, 405B parameters with dual-node clustering
Storage 4TB NVMe M.2 SSD (self-encrypting)
Networking * ConnectX-7 Smart NIC (200Gbps RDMA for clustering)
* 10GbE RJ45 port
* Wi-Fi 7 (802.11be) + Bluetooth 5.3
Interfaces * 4× USB4 Type-C (40Gbps)
* 1× HDMI 2.1a (supports 8K video output)
* Audio: HDMI multichannel audio
Power Consumption * 170W typical operation
* Up to 224W peak under heavy load
Cooling Passive airflow design optimized for silent operation
Physical Specifications * Dimensions: 150mm (L) × 150mm (W) × 50.5mm (H)
* Weight: 1.2kg
* Form Factor: FHFL dual-slot (rack-mountable with optional kit)
Operating System DGX OS (Ubuntu 22.04-based)
* Pre-installed AI Enterprise software stack
* Supports frameworks: PyTorch, TensorFlow, RAPIDS
Model Capabilities * Inference: Up to 200B parameters (e.g., LLaMA 2, DeepSeek-R1)
* Fine-tuning: Up to 70B parameters
* Distributed training: Scale to 405B parameters with dual DGX Spark nodes
Security * Secure Boot and ECC memory protection
* Confidential computing with ARM TrustZone
Development Tools * AI Enterprise Suite (cuDNN, TensorRT, etc.)
* NGC container registry access
Cyber Resilience
Cyber Resilient Architecture

Security is integrated into every phase of the lifecycle, including protected supply chain and factory-to-site integrity assurance. Silicon-based root of trust anchors end-to-end boot resilience while Multi-Factor Authentication (MFA) and role-based access controls ensure trusted operations.

Efficiency
Operational Efficiency

Increase efficiency and accelerate operations with autonomous collaboration. Simplify, automate and centralize one-to-many management with the Enterprise console and iDRAC for high-density environments.

Sustainability
Sustainability

Designed to reduce the carbon footprint and lower operation costs through recycled materials and innovative energy efficiency options. Built for responsible lifecycle management and energy-conscious data center deployment.

DGX Spark Hardware
DGX Spark Enterprise Design

Designed for 24x7 enterprise data center operations, it features enterprise-grade components and energy-efficient hardware optimized for deployment at scale. Supports Secure Boot with Hardware Root of Trust technology, provides an extra layer of security, and meets NEBS Level 3 standards to meet new data center standards.

The passively cooled, energy-efficient, dual-socket design fits a wide range of Tesla-Certified systems from OEM vendors and is easy to integrate into existing data center infrastructure.

Internal View
Rear Ports
System Component 1
System Component 2
System Component 3
Board Layout
Final Assembly
Frequently Asked Questions
Q1: What are the primary AI workloads supported by DGX Spark?
A1: DGX Spark is optimized for inference of Large Language Models (LLMs) up to 200B parameters, fine-tuning models up to 70B parameters, and supports distributed training via dual-node clustering for larger workloads.
Q2: Does the system support high-speed clustering for AI training?
A2: Yes, it features an integrated ConnectX-7 Smart NIC providing 200Gbps RDMA, specifically designed for high-speed node-to-node communication in AI clusters.
Q3: Can the storage and memory be customized?
A3: The system comes with 28GB LPDDR5X unified memory for high-bandwidth performance and a 4TB NVMe M.2 SSD. Contact us for specific enterprise customization requirements.
Q4: What operating systems and AI frameworks are pre-installed?
A4: It runs on DGX OS (Ubuntu-based) and includes the full AI Enterprise software stack, supporting industry-standard frameworks like PyTorch, TensorFlow, and RAPIDS.
Q5: Is the system suitable for quiet office environments?
A5: Yes, the system utilizes a passive airflow design optimized for silent operation, making it suitable for both data centers and professional edge environments.
Q6: What is the typical lead time for delivery?
A6: Depending on the quantity and configuration requirements, the typical delivery time is approximately 7 days. We ship globally with secure enterprise packaging.

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