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NVIDIA DGX Spark | NVIDIA
As AI models grow in scale and complexity, developers need localized compute that matches their ambition. The NVIDIA DGX Spark datasheet details how this personal AI computer enables local development, training, and inference with enterprise-grade power. With up to 1 petaFLOP of performance, 128 GB unified memory, and ConnectX networking, DGX Spark delivers scalability from the desktop to the cloud. Download the datasheet to explore specifications and benefits, and contact Zakini Inc. for tailored NVIDIA DGX solutions to accelerate your AI strategy.
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NVIDIA DGX Spark is a personal AI computer designed to build and run AI applications. It is optimized for handling the increasing size and complexity of generative AI models, providing developers with the necessary compute performance and memory to prototype, fine-tune, and infer large models locally.
What are the key specifications of NVIDIA DGX Spark?
NVIDIA DGX Spark is powered by the NVIDIA GB10 Grace Blackwell Superchip, delivering up to 1 petaFLOP of AI performance. It features 128 GB of unified system memory, supports models of up to 200 billion parameters, and includes NVIDIA ConnectX networking to link two systems for models up to 405 billion parameters.
How does NVIDIA DGX Spark support AI development?
NVIDIA DGX Spark provides a familiar software architecture that mirrors industrial-strength AI factories, allowing developers to use tools like PyTorch and Jupyter for prototyping and fine-tuning. It enables seamless deployment of models from desktop to cloud or data center environments with minimal code changes, making it easier for users to iterate on their AI projects.
NVIDIA DGX Spark | NVIDIA
published by Zakini Inc.
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