Powered by the NVIDIA GB10 Grace Blackwell Superchip, NVIDIA DGX™ Spark delivers 1000 AI TOPS of AI performance in a power-efficient, compact form factor. With the NVIDIA AI software stack preinstalled and 128GB of memory, developers can prototype, fine-tune, and inference the latest generation of reasoning AI models from DeepSeek, Meta, Google, and others with up to 200 billion parameters locally, and seamlessly deploy to the data center or cloud.
NVIDIA Announces Blackwell DGX Personal AI Computers
NVIDIA DGX Station and NVIDIA DGX Spark, powered by NVIDIA Grace Blackwell, place accelerated AI in the hands of developers, researchers and data scientists.
NVIDIA GPU, CPU, Networking, and AI Software Technologies
NVIDIA GB10 Superchip
Experience up to 1000 AI TOPS of AI performance at FP4 precision with the NVIDIA Grace Blackwell architecture.
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 large, unified system memory.
NVIDIA ConnectX Networking
High-performance NVIDIA Connect-X networking enables connecting two NVIDIA DGX Spark systems together to work with AI models up to 405 billion parameters.
NVIDIA AI Software Stack
Use a full-stack solution for generative AI workloads, including tools, frameworks, libraries, and pretrained models.
Workloads
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.
Prototyping
Develop, test, and validate AI models and applications.
With the NVIDIA AI software stack, NVIDIA DGX Spark provides the platform for developers to create, test, and validate AI models and AI-augmented applications and solutions. For final tuning or deployment, easily migrate work to NVIDIA DGX cloud or other NVIDIA accelerated data centers or cloud infrastructures.
Fine-Tuning
Fine-tune AI models up to 70 billion parameters.
Improve the performance of pre-trained models by fine-tuning on NVIDIA DGX Spark. With 128GB of unified system memory, fine-tune models up to 70 billion parameters to customize AI models and solutions for specific needs and use cases.
Inference
Test, validate, and inference with AI models up to 200 billion parameters.
Fifth-generation Tensor Cores with support for FP4 deliver up to 1,000 TOPS of AI computing performance, combined with 128GB of system memory, accelerate inference of state-of-the-art AI models to test, validate and deploy from your NVIDIA DGX Spark.
Data Science
Accelerate end-to-end data science workflows with NVIDIA RAPIDS™.
From data preparation to model training, inference, and deployment, NVIDIA RAPIDS on NVIDIA DGX Spark simplifies the development process with Zero-code-change accelerators and familiar APIs to quickly accelerate existing workloads or rapidly develop specific use-case solutions, and easily scale out to data center or cloud.
Edge Applications
Develop edge applications with NVIDIA AI frameworks, including Isaac™, Metropolis, and many others.
DGX Spark provides an excellent platform for developing robotics, smart cities, and computer vision solutions. NVIDIA frameworks, including Isaac, Metropolis, and Holoscan,. These frameworks and tools enable developers to take advantage of the power of NVIDIA DGX Spark to quickly develop edge applications.
Specifications
NVIDIA DGX Spark
Architecture
NVIDIA Grace Blackwell
GPU
Blackwell Architecture
CPU
20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm
CUDA Cores
Blackwell Generation
Tensor Cores
5th Generation
RT Cores
4th Generation
Tensor Performance1
1000 AI TOPS
System Memory
128 GB LPDDR5x, unified system memory
Memory Interface
256-bit
Memory Bandwidth
273 GB/s
Storage
1 or 4 TB NVME.M2 with self-encryption
USB
4x USB 4 TypeC (up to 40Gb/s)
Ethernet
1x RJ-45 connector 10 GbE
NIC
ConnectX-7 Smart NIC
Wi-Fi
WiFi 7
Bluetooth
BT 5.3
Audio-output
HDMI multichannel audio output
Power Consumption
170W
Display Connectors
1x HDMI 2.1a
NVENC | NVDEC
1x | 1x
OS
NVIDIA DGX™ OS
System Dimensions
150 mm L x 150 mm W x 50.5 mm H
System Weight
1.2 kg
* preliminary specifications, subject to change
1 Theoretical FP4 TOPS using the sparsity feature.
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