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ASUS Ascent GX10 Desktop AI Supercomputer
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ASUS Ascent GX10 Desktop AI Supercomputer

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SKU: GX10-GG0015BN
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  • Powered by the NVIDIA GB10 Grace Blackwell Superchip for up to 1 petaFLOP of AI performance.
  • Features 128GB of high-speed unified memory, ideal for fine-tuning 200B parameter models.
  • Ultra-compact, energy-efficient design perfect for professional labs, offices, and edge environments.
  • Scalable architecture supports dual-system stacking via NVIDIA ConnectX-7 for larger workloads.
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Key Points

  • NVIDIA GB10 Grace Blackwell Superchip integration
  • 1 petaFLOP AI performance (FP4)
  • 128GB LPDDR5x unified memory
  • NVIDIA NVLink-C2C high-bandwidth communication
  • Advanced dual-fan vapor chamber cooling
  • Preloaded with NVIDIA AI software stack
  • Supports Agentic AI frameworks like NemoClaw
  • Compact 1.6L chassis with toolless design

The ASUS Ascent GX10 is a revolutionary desktop AI supercomputer designed to bring enterprise-grade computing power directly to researchers, developers, and data scientists. By leveraging the NVIDIA GB10 Grace Blackwell Superchip, this compact system delivers massive AI performance, enabling local prototyping, fine-tuning, and inference of large language models without the latency or recurring costs associated with cloud-only workflows.

Engineered for versatility, the GX10 features a sophisticated thermal design with dual vapor chambers and a three-fan array, ensuring sustained peak performance during intensive AI training sessions. Its compact footprint allows for seamless integration into existing office or lab setups, while the scalable architecture allows users to link two units via NVIDIA ConnectX-7 networking to handle even more complex models, such as Llama 3.1 405B.

The system arrives ready for deployment with a pre-installed NVIDIA AI software stack, including support for PyTorch, TensorFlow, and NVIDIA NIM microservices. With built-in support for Agentic AI via NVIDIA NemoClaw, the Ascent GX10 provides a secure, private, and cost-effective environment for developing autonomous agents, ensuring your proprietary data remains on-premises while you push the boundaries of AI innovation.

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