DGX™ Spark is part of a new class of computers designed from the ground up to build and run AI. Powered by the GB10 Grace Blackwell Superchip and based on the Grace Blackwell architecture, DGX Spark delivers up to 1 petaFLOP 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, ConnectX™ networking can connect two DGX Spark supercomputers to enable inference on models up to 405B parameters.
To give developers a familiar experience, DGX Spark mirrors the same software architecture that powers industrial-strength AI factories. Using the DGX OS with Ubuntu Linux and preconfigured with the latest AI software stack, along with developer program access to NIM™ and Blueprints, developers can hit the ground running using common tools such as PyTorch, Jupyter, and Ollama to prototype, fine-tune, and inference on DGX Spark and easily move work to the data center or cloud.
At the heart of DGX Spark is the GB10 Grace Blackwell Superchip based on the Grace Blackwell architecture optimized for a desktop form factor. GB10 features a powerful Blackwell GPU with fifth-generation Tensor Cores and FP4 support, delivering up to 1 petaFLOP of AI compute. GB10 includes a high-performance Grace 20-core Arm CPU to supercharge data preprocessing and orchestration, speeding up model tuning and inferencing. The GB10 Superchip uses the NVI NVLink™-C2C to deliver a CPU+GPU coherent memory model with 5x the bandwidth of PCIe Gen 5.
| Model | DGX Spark GB10 Grace Blackwell Superchip |
| CPU | 20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm |
| Memory | 128 GB LPDDR5x, coherent unified system memory |
| Hard Disk | 4 TB NVME.M2 with self-encryption |
| GPU | Blackwell Architecture |
| Interface | 4x USB TypeC, 1x RJ-45 connector 10 GbE, 1x HDMI 2.1a |
| Power Supply | 240W |
| Packaging | Paper packaging |
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