Accelerate All AI Workloads
Delivering the power of an AI supercomputer in a desktop-friendly size, NVIDIA DGX Spark is ideal for AI developer, researcher, and data scientist workloads.
Powered by the NVIDIA GB10 Grace Blackwell Superchip, NVIDIA DGX Spark™ delivers up to one petaFLOP1 of FP4 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.
NVIDIA GPU, CPU, Networking, and AI Software Technologies
128 GB of Coherent Unified System Memory:
Run AI development and testing workloads with AI models up to 200 billion parameters at your desktop with a large, unified system memory.
NVIDIA ConnectX Networking:
High-performance NVIDIA ConnectX™ networking enables the connection of two NVIDIA DGX Spark systems to work with AI models of up to 405 billion parameters.
NVIDIA AI Software Stack:
Utilize a full-stack solution for generative AI workloads, encompassing NVIDIA tools, frameworks, libraries, and pre-trained models including NVIDIA NIM.
Datasheet
Video: Building a Multi-Agent Chatbot Demo in DGX Spark (Just under 3min)
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Accelerate All AI Workloads
Prototyping: Develop, test, and validate AI models and applications. Fine-Tuning: Fine-tune AI models up to 70 billion parameters. Data Science: High-performance data science at your desk. Inference: Test, validate, and inference with AI models up to 200 billion parameters. Edge Applications: Develop edge applications with NVIDIA AI frameworks, including Isaac™, Metropolis, and many others.