Hardware Overview#

Powered by the NVIDIA Grace Blackwell architecture, DGX Spark enables developers, researchers, and data scientists to prototype, deploy, and fine-tune large AI models on their desktop. This section provides information about the hardware components and specifications.

System Overview#

The DGX Spark features:

  • NVIDIA Grace Blackwell architecture with integrated GPU and CPU

  • 20-core Arm processor with high-performance cores

  • 128 GB unified system memory

  • Compact desktop form factor (150mm x 150mm x 50.5mm)

  • Advanced connectivity including Wi-Fi 7, 10 GbE, and ConnectX-7

  • Support for AI models up to 200 billion parameters (or 405B for dual-Spark configuration)

Component Descriptions#

The DGX Spark includes the following components:

Component Specifications#

Component

Specification

GPU

NVIDIA Blackwell Architecture with 5th Generation Tensor Cores, 4th Generation RT Cores

CPU

20-core Arm processor (10 Cortex-X925 + 10 Cortex-A725)

Memory

128 GB LPDDR5x unified system memory, 256-bit interface, 4266 MHz, 273 GB/s bandwidth

Storage

1 TB or 4 TB NVMe M.2 with self-encryption

Network

1x RJ-45 (10 GbE), ConnectX-7 Smart NIC, Wi-Fi 7, Bluetooth 5.4

Connectivity

4x USB Type-C, 1x HDMI 2.1a, HDMI multichannel audio

Video Processing

1x NVENC, 1x NVDEC

Physical Specifications#

Form Factor#

  • Chassis Type: Small form factor (SFF)

  • Dimensions: 150 mm (L) x 150 mm (W) x 50.5 mm (H)

  • Weight: 1.2 kg (2.6 lbs)

Environmental Requirements#

Environmental Specifications#

Specification

Value

Ideal Operating Temperature

0°C to 35°C (32°F to 95°F)

Operating Humidity

10% to 90% (non-condensing)

Operating Altitude

Up to 3,000 meters (9,843 feet)

Connectivity and I/O#

Rear Panel#

  • Power button

  • 4x USB Type-C (one for power delivery)

  • 1x HDMI 2.1a display connector

  • 1x RJ-45 Ethernet connector (10 GbE)

  • 2x QSFP Network connectors (ConnectX-7)

Rear panel ports and connectors of DGX Spark

Performance Specifications#

Compute Performance#

  • AI Compute: Up to 1,000 TOPS (trillion operations per second) inference and up to 1 PFLOP (petaFLOP) at FP4 precision with sparsity

  • CUDA Cores: 6,144

  • Copy Engines: 2 (enables simultaneous data transfers to and from GPU memory, improving throughput for AI workloads)

  • CPU Performance: 20 cores (10 Cortex-X925 + 10 Cortex-A725)

  • Memory Bandwidth: 273 GB/s

  • Memory Channels: 16 channels (256 bit) LPDDR5X 8533

AI/ML Capabilities#

  • Model Support: AI models up to 200 billion parameters

  • Tensor Performance: 5th Generation Tensor Cores with FP4 support

  • Framework Support: TensorFlow, PyTorch, TRT-LLM, and other AI frameworks

  • Use Cases: Inference, deployment, and fine-tuning of large language models

Power and Thermal Management#

Power Requirements#

  • Power Supply: 240W external power supply (included)

  • Usage Requirement: Use of the provided 240W power supply is required for optimal performance. Using a different or lower-rated power supply may result in reduced system performance, failure to boot, or unexpected shutdowns.

  • Input Voltage: Standard AC power input

Thermal Management#

  • Cooling Solution: Integrated thermal management system

  • Form Factor: Compact design optimized for desktop placement

  • Operating Temperature: 0°C to 35°C (32°F to 95°F) Preliminary specifications