NVIDIA DGX Spark

A new class of computers designed to build and run AI, enabling developers to prototype, fine-tune and inference large AI models locally and seamlessly deploy to the data center or cloud.

A Grace Blackwell AI Supercomputer on Your Desk

  • Desktop AI Compute Demands

    The increasing size and complexity of generative AI models is making development efforts on local systems challenging. Prototyping, tuning, and inferencing large models locally requires large amounts of memory and significant compute performance. As enterprises, software providers, government agencies, startups, and researchers staff up AI efforts, the need for AI compute resources continues to grow.

  • 200B Parameter Models on Your Desk

    NVIDIA DGX™ Spark is part of a new class of computers designed from the ground up to build and run AI. Powered by the NVIDIA GB10 Grace Blackwell Superchip and based on the NVIDIA Grace Blackwell architecture, NVIDIA DGX Spark delivers up to 1000 TOPS of AI performance to power large AI workloads. With 128 GB of unified system memory, developers can experiment, fine-tune, or inference models of up to 200B parameters. Plus, NVIDIA ConnectX™ networking can connect two NVIDIA DGX Spark supercomputers to enable inference on models up to 405B parameters.

  • Built on NVIDIA Grace Blackwell

    At the heart of NVIDIA DGX Spark is the new NVIDIA GB10 Grace Blackwell Superchip based on the NVIDIA Grace Blackwell architecture optimized for a desktop form factor. GB10 features a powerful NVIDIA Blackwell GPU with fifth-generation Tensor Cores and FP4 support, delivering up to 1000 TOPS of AI compute. GB10 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.

NVIDIA DGX™ Spark system.

Work With Large-Parameter AI Models

With 128 GB of unified system memory and support for the FP4 data format, NVIDIA DGX Spark can support AI models of up to 200B parameters, enabling AI developers to prototype, fine-tune, and inference large models on their desktop. With builtin NVIDIA ConnectX network technology, two NVIDIA DGX Spark systems can be connected to work on even larger models such as Llama 3.1 405B.

Develop Locally, Deploy Anywhere at Scale

Diagram of AI development ecosystem showing hardware components like CPU, GPU, NVDEC, NVENC, OFA, CX; software components including NVIDIA Kernel, Desktop RTX GPU Drivers, Docker Preconfigured, NVIDIA Container Toolkit; CUDA tools like cuDNN, cuBLAS, TensorRT, NCCL; SDKs like PyTorch, TensorFlow, MATLAB; frameworks such as Riva, Holoscan, Metropolis, Isaac; and workflows including NIM, AI Blueprints, AI Workbench.

NVIDIA DGX Spark provides organizations and developers with a powerful, economical experimentation ground for prototype models, 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 NVIDIA 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.

Technical Specifications
ArchitectureNVIDIA Grace Blackwell
GPUNVIDIA Blackwell Architecture
CPU20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm
CUDA CoresNVIDIA Blackwell Generation
Tensor Cores5th Generation
RT Cores4th Generation
Tensor Performance1000 AI TOPS
System Memory128 GB LPDDR5x, unified system memory
Memory Interface256-bit
Memory Bandwidth273 GB/s
Storage1 or 4 TB NVME.M2 with self-encryption
USB4x USB TypeC
Ethernet1x RJ-45 connector, 10 GbE
NICConnectX-7 Smart NIC
Wi-FiWiFi 7
BluetoothBT 5.3 w/LE
Audio-outputHDMI multichannel audio output
Power ConsumptionTBD
Display Connectors1x HDMI 2.1a
NVENC | NVDEC1x | 1x
OSNVIDIA DGX™ OS
System Dimensions150 mm L x 150 mm W x 50.5 mm H
System Weight1.2 kg
Exploded view of a high-performance computer highlighting components such as GB10 Superchip, Blackwell GPU, Grace CPU, Connectivity options, ConnectX, 4 TB SSD, High-bandwidth memory, and a cooling module

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