Description
NVIDIA DGX Spark Blackwell 4TB Desktop AI Supercomputer 940-54242-0008-000
Spark Something Big
Powered by the NVIDIA GB10 Grace Blackwell Superchip, NVIDIA DGX Spark™ delivers one petaFLOP1 of AI performance in a power-efficient, compact form factor. With the NVIDIA AI software stack preinstalled and 128 GB of memory, developers can prototype, fine-tune, and inference the latest generation of reasoning AI models from DeepSeek, Meta, NVIDIA, Google, Qwen and others with up to 200 billion parameters locally.
Based on NVIDIA Grace Blackwell Architecture
At the heart of DGX Spark is the new GB10 Grace Blackwell Superchip, based on the Grace Blackwell architecture and optimized for a desktop form factor. GB10 features a powerful Blackwell GPU with fifth-generation Tensor Cores and FP4 support, delivering up to 1000 AI TOPS of compute. GB10 also includes a high-performance Grace 20-core Arm CPU to supercharge data preprocessing and orchestration, speeding up model tuning and real-time inferencing. The GB10 Superchip uses the NVLink™-C2C to deliver a CPU+GPU coherent memory model with 5X the bandwidth of PCIe Gen 5.
Work With the Latest Generation of Large-Parameter Generative AI Models
With 128 GB of unified system memory and support for the FP4 data format, DGX Spark can support AI models of up to 200B parameters, enabling AI developers to prototype, fine-tune and inference the latest generation of AI reasoning models—such as DeepSeek R1 distilled versions up to 70 billion parameters—on their desktop. With built-in NVIDIA ConnectX™ network technology, two DGX Spark systems can be connected to work on even larger models such as Llama 3.1 405B.
Develop Locally, Deploy Anywhere at Scale
DGX Spark provides developers with a powerful, experimentation ground for prototyping models and AI applications, freeing up valuable compute resources in their cluster environments better suited for training and deploying production models. Leveraging the NVIDIA AI platform software architecture makes it possible for DGX Spark users to seamlessly move their models from their desktop to DGX Cloud or any accelerated cloud or data center infrastructure with virtually no code changes, making it easier than ever to prototype, fine-tune, and iterate.
Specification :
| Architecture | NVIDIA Grace Blackwell |
| GPU | Blackwell Architecture |
| CPU | 20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm |
| CUDA Cores | Blackwell Generation |
| Tensor Cores | 5th Generation |
| RT Cores | 4th Generation |
| Tensor Performance1 | Up to 1 PFLOP FP4 |
| System Memory | 128 GB LPDDR5x, coherent unified system memory |
| Memory Interface | 256-bit |
| Memory Bandwidth | 273 GB/s |
| Storage | 4 TB NVME.M2 with self-encryption |
| USB | 4x USB TypeC |
| Ethernet | 1x RJ-45 connector / 10 GbE |
| 10 GbE | |
| NIC | ConnectX-7 NIC @ 200 Gbps |
| Wi-Fi | WiFi 7 |
| Bluetooth | BT 5.4 |
| Audio-output | HDMI multichannel audio output |
| Power Supply | 240 Watts |
| GB10 TDP2 | 140 W |
| Display Connectors | 1x HDMI 2.1a, Up to 3x DisplayPort over USB-C (DP Alt Mode) |
| NVENC | NVDEC | 1x | 1x |
| OS | NVIDIA DGX™ OS |
| System Dimensions | 150 mm L x 150 mm W x 50.5 mm H |
| System Weight | 1.2 kg |
| Warranty | 1 Year |
| Note | Features, Price and Specifications are subject to change without notice. Images used for Representation purposes only. |