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Powered by the NVIDIA GB10 Grace Blackwell Superchip, NVIDIA DGX Spark delivers up to 1 petaFLOP (FP4) of AI performance in a powerefficient, compact workstation. With the NVIDIA AI software stack preinstalled and 128 GB unified memory, developers can prototype, finetune, and inference reasoning LLMs (DeepSeek, Meta, NVIDIA, Google, Qwen) with up to 200B parameters locallyideal for generative AI, RAG, multimodal, and agentic AI workflows.
Up to 1 petaFLOP (FP4) with Grace Blackwelloptimized for LLM inference, finetuning, prompt engineering, and agent frameworks.
Run 200Bparameter models locally with unified LPDDR5x memory for zerocopy data access and fast context handling.
ConnectX enables pairing two DGX Spark systems to handle 405Bparameter workloadsscalable multinode AI experiments.
Fullstack generative AI: NVIDIA NIM microservices, CUDA, Triton Inference Server, TensorRTLLM, toolchains, libraries, and pretrained models.
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Architecture |
NVIDIA Grace Blackwell |
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GPU |
NVIDIA Blackwell Architecture |
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CPU |
20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm |
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CUDA Cores |
NVIDIA Blackwell Generation |
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Tensor Cores |
5th Generation |
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RT Cores |
4th Generation |
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Tensor Performance |
1 PFLOP |
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System memory |
128 GB LPDDR5x, coherent unified system memory |
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Memory Interface |
256-bit |
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Memory Bandwidth |
Up to 273 GB/s |
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Storage |
4 TB NVME.M2 with self-encryption |
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USB |
4x USB TypeC |
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Ethernet |
1x RJ-45 connector 10 GbE |
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NIC |
ConnectX-7 NIC @ 200 Gbps |
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WiFi |
WiFi 7 |
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Bluetooth |
BT 5.4 w/LE |
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Audio-output |
HDMI multichannel audio output |
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Power Supply |
240W |
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Display Connectors |
1x HDMI 2.1a |
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NVENC | NVDEC |
1x | 1x |
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OS |
NVIDIA DGX OS |
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System Dimensions |
150 mm L x 150 mm W x 50.5 mm H |
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System Weight |
1.2 kg |
DatasheetUserManualQuickStartGuide
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Quick Start Guide |
x1 |
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Power Supply |
x1 |
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Power Cord |
x1 |