Desktop Agent Computer
Powered by the NVIDIA GB10 Grace Blackwell Superchip, NVIDIA DGX Spark delivers up to one petaFLOP1 of FP4 AI performance in a power-efficient, compact form factor. With a preinstalled NVIDIA AI software stack and 128 GB of memory, developers can prototype, fine-tune, and deploy the latest reasoning AI models. Additionally, NVIDIA NemoClaw, part of the NVIDIA Agent Toolkit is an open source agent development platform for building, evaluating, and optimizing safer, long-running autonomous agents directly from the desktop.
Run Autonomous Agents More Safely
NVIDIA Agent Toolkit with NVIDIA OpenShell provides open source models and software for developers to build and deploy safer autonomous agents. NVIDIA NemoClaw is an open sourcr reference stack that adds security and privacy guardrails to OpenClaw using OpenShell. (For More Information Visit the Official Brand Website)
Playbooks for Everyone
From novice to expert, leverage our curated playbooks to get off to a running start on various projects. Playbooks contain step-by-step recipes to demonstrate the art of the possible. (For More Information Visit the Official Brand Website)
NVIDIA GB10 Superchip
Experience up to 1 petaFLOP 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 a large, unified system memory.
NVIDIA ConnectX Networking
High-performance NVIDIA ConnectX networking enables the connection of two NVIDIA DGX Spark systems to work with AI models of up to 405 billion parameters.
NVIDIA AI Software Stack
Utilize a full-stack solution for generative AI workloads, encompassing NVIDIA tools, frameworks, libraries, and pre-trained models including NVIDIA NIM.
Accelerate All Agentic AI Workloads
Delivering the power of Grace Blackwell in a desktop-friendly size, NVIDIA DGX Spark is ideal for AI developer, researcher, and data scientist workloads.
Develop, test, and validate AI models and applications.
With the NVIDIA AI software stack, NVIDIA DGX Spark provides a platform for developers to create, test, and validate AI models, as well as build AI agents, AI-augmented applications, and solutions. For final tuning or deployment, conveniently evaluate the work for eventual migration to the NVIDIA DGX cloud or other NVIDIA-accelerated data centers or cloud infrastructures.
Fine-tune AI models up to 70 billion parameters.
Improve the performance of pre-trained models by fine-tuning on NVIDIA DGX Spark. With 128 GB of unified system memory, fine-tune models up to 70 billion parameters to customize AI models and solutions for specific needs and use cases.
Test, validate, and inference with AI models up to 200 billion parameters.
Fifth-generation Tensor Cores with support for FP4 deliver up to 1 petaFLOP of AI computing performance, combined with 128 GB of system memory, accelerating inference of state-of-the-art AI models to test, validate, and deploy from your NVIDIA DGX Spark.
High-performance data science at your desk.
NVIDIA DGX Spark’s combination of 128 GB of unified memory and 1 PetaFLOP of parallel throughput maximizes performance of large, computationally complex data analytics and machine learning workflows at your desk.
Develop edge applications with NVIDIA AI frameworks, including NVIDIA Isaac, Metropolis, and many others.
NVIDIA DGX Spark offers an exceptional platform for developing robotics, smart city, and computer vision solutions. NVIDIA frameworks include Isaac, Metropolis, and Holoscan, enabling developers to leverage the power of NVIDIA DGX Spark to develop edge applications quickly.
NVIDIA DGX Spark 4TB Desktop AI Supercomputer
| Weight | 1.2 kg |
|---|---|
| brands | NVIDIA |
| 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 | Up to 1 PFLOP FP4 |
| System Memory | 128 GB LPDDR5X* or 128 GB LPDDR5x, coherent unified system memory |
| Memory Interface | 256-bit |
| Memory Bandwidth | 273 GB/s |
| Storage | Up to 4 TB NVME.M2 with self-encryption |
| USB | 4x USB TypeC |
| Ethernet |
1x RJ-45 connector 10 GbE |
| NIC | ConnectX-7 NIC @ 200 Gbps |
| Wi-Fi | WiFi 7 |
| Bluetooth | BT 5.4 |
| Audio-output | HDMI multichannel audio output |
| Power Supply | 240 Watts |
| GB10 TDP2 | 140 W |
| Display Connectors | 1x HDMI 2.1a, Up to 3x DisplayPort over USB-C (DP Alt Mode) |
| 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 |
| Product name |
NVIDIA DGX Spark 940-54242-0008-000 |
| Product description NVIDIA GB10 Grace Blackwell |
Superchip 20-core Arm: 10 Cortex-X925 + 10 Cortex-A725 Arm, 128 GB LPDDR5x Up to 4 TB NVME.M2 |
| Quantities declared | Operating Modedd Idle |
| Declared mean A-weighted sound power level a), LWA,m (dB) | 35 19 |
| Declared mean A-weighted emission sound pressure level b), LpA,m (dB) | 29 13 |
| Statistical adder for verification c), Kv (dB) | 3 3 |
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