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NVIDIA DGX Spark GB10 Grace Blackwell Superchip, 128 GB LPDDR5x, ARM Processor, 4 TB NVME M.2 SSD Storage in Saudi Arabia NVIDIA DGX Spark GB10 Grace Blackwell Superchip, 128 GB LPDDR5x, ARM Processor, 4 TB NVME M.2 SSD Storage in Saudi Arabia NVIDIA DGX Spark GB10 Grace Blackwell Superchip, 128 GB LPDDR5x, ARM Processor, 4 TB NVME M.2 SSD Storage in Saudi Arabia NVIDIA DGX Spark GB10 Grace Blackwell Superchip, 128 GB LPDDR5x, ARM Processor, 4 TB NVME M.2 SSD Storage in Saudi Arabia NVIDIA DGX Spark GB10 Grace Blackwell Superchip, 128 GB LPDDR5x, ARM Processor, 4 TB NVME M.2 SSD Storage in Saudi Arabia NVIDIA DGX Spark GB10 Grace Blackwell Superchip, 128 GB LPDDR5x, ARM Processor, 4 TB NVME M.2 SSD Storage in Saudi Arabia NVIDIA DGX Spark GB10 Grace Blackwell Superchip, 128 GB LPDDR5x, ARM Processor, 4 TB NVME M.2 SSD Storage in Saudi Arabia NVIDIA DGX Spark GB10 Grace Blackwell Superchip, 128 GB LPDDR5x, ARM Processor, 4 TB NVME M.2 SSD Storage in Saudi Arabia

NVIDIA DGX Spark GB10 Grace Blackwell Superchip, 128 GB LPDDR5x, ARM Processor, 4 TB NVME M.2 SSD Storage

SAR 20,267

Brand
NVIDIA
Weight
2.4 kg
All electronics ship with US style plugs. You may need a voltage converter or a plug adapter.
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Special Features

  • Built on NVIDIA GB10 Grace Blackwell Superchip
  • NVIDIA Blackwell GPU with fifth-generation Tensor Core technology
  • NVIDIA Grace CPU with 20-core high-performance Arm architecture
  • Up to 1 petaFLOP of AI performance using FP4
  • 128 GB of coherent, unified system memory
  • Support for up to 200 billion parameter2 models
  • NVIDIA Connect-X networking to link two systems to work with models up to 405 billion parameters
  • 4 TB of NVMe storage
  • Compact desktop form factor

Description

NVIDIA DGX Spark belongs to a new class of computers designed to build and run AI, delivering up to 1petaflop performance from a power-efficient, compact form factor. With the preinstalled NVIDIA AI software stack and 128GB of memory, developers can prototype, fine-tune, and inference large AI models of up to 200 billion parameters locally and seamlessly deploy to the data center or cloud.

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