DGX Spark - NVIDIA GB10 Grace Blackwell Superchip, 128 GB LPDDR5x, ARM Processor, 4TB NVME M.2 SSD Storage - Gold
About this product
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.
Highlights
Architecture NVIDIA Grace Blackwell
Built on NVIDIA GB10 Grace Blackwell Superchip.
NVIDIA Grace CPU
20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm CPU - Nvidia.
System Memory
128 GB LPDDR5x, unified system memory.
NIC
NVIDIA ConnectX-7 Smart NIC.
Ethernet
1x RJ-45 connector 10 GbE.
Tensor Performance
Up to 1 petaFLOP1 of AI performance using FP4.
Storage
4 TB NVME.M2 with self-encryption.
OS
NVIDIA DGX OS.
- Processor ModelARMStorage TypeSSDTotal Storage Capacity4000 gigabytesSystem Memory (RAM)128 gigabytesGraphics TypeNone
Reviews
Rating 5 out of 5 stars with 3 reviews
The vast majority of our reviews come from verified purchases. Reviews from customers may include My Best Buy members, employees, and Tech Insider Network members (as tagged). Select reviewers may receive discounted products, promotional considerations or entries into drawings for honest, helpful reviews.
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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.

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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