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Special Promotion
NVIDIA DGX Spark NVIDIA GB10 Grace Blackwell superchip 20-core Arm CPU 128 GB LPDDR5x 1 TB NVMe NVIDIA DGX OS 1-year limited warranty
Brand: NVIDIA
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NVIDIA GB10 Grace Blackwell superchip
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1 PFLOPS of FP4 AI performance
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128GB of coherent, unified system memory
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ConnectX-7 Smart NIC
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1TB NVME.M2 with self-encryption
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150mm L x 150mm W x 50.5mm H
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For urgent delivery, please contact sales before ordering. Orders usually ship as per the estimated delivery date in certain case backorders may take 4–12 weeks. Images are for illustration only and may differ from the actual item.
NVIDIA DGX Spark NVIDIA GB10 Grace Blackwell superchip 20-core Arm CPU 128 GB LPDDR5x 1 TB NVMe NVIDIA DGX OS 1-year limited warranty
-
NVIDIA GB10 Grace Blackwell superchip
-
1 PFLOPS of FP4 AI performance
-
128GB of coherent, unified system memory
-
ConnectX-7 Smart NIC
-
1TB NVME.M2 with self-encryption
-
150mm L x 150mm W x 50.5mm H
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.
Your Desktop Agent Computer
Powered by the NVIDIA GB10 Grace Blackwell Superchip, NVIDIA DGX Spark™ is a complete platform for local autonomous agents. Large local memory, powerful AI compute and the NVIDIA AI software stack enable agents and large models to run locally, reducing the need for cloud-based token generation resources. With a compact, power-efficient design, DGX Spark is built to run always-on agent workloads—right from your desktop.
Scale to Larger Models, Faster Inference, and Agentic Workloads
Run frontier-class models on desktop clusters.
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1x DGX Spark 64 GB* |
1x DGX Spark
128 GB |
2x 64 GB DGX Spark
128 GB |
2x 128 GB DGX Spark 256 GB |
4x DGX Spark 512 GB |
ktop-friendly size, DGX Spark is ideal for AI developer, researcher, and data scientist workloads.
NVIDIA GB10 Grace Blackwell Superchip
Up to
20-core
Grace CPU
Up to
1 petaFLOP
FP4 AI Performance
Up to
128 GB
Unified Memory
NVIDIA GB10 Superchip
Experience up to 1 petaFLOP of AI performance at FP4 precision with the NVIDIA Grace Blackwell architecture.
Coherent Unified System Memory
Run AI development and testing workloads with state-of-the-art AI models at your desktop with a large, unified system memory. Available in 64 GB* or 128 GB memory configuration options.
NVIDIA ConnectX Networking
High-performance NVIDIA ConnectX™ networking enables up to four DGX Spark systems to work together on larger AI models, deliver faster inference, and run multi-agent workloads.
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™.
NVIDIA Sync
Connect to your DGX Spark from your laptop or desktop and monitor system status, launch Cursor, VS Code, or AI Workbench remotely, and configure up to four devices into a high-speed multi-node cluster. Install the latest software updates to get the most out of your system.
*64 GB memory configuration is available exclusively through participating OEM partners.
Workloads
Accelerate All Your AI Workloads
Delivering the power of Grace Blackwell in a des
NVIDIA DGX Spark Specifications |
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| 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 | 64 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 |
1 Theoretical FP4 TOPS using the sparsity feature.
*64 GB memory configuration is available exclusively through participating OEM partners.
2 TDP: Thermal Design Power of the GB10 chip, including CPU and GPU
Declared noise emission values in accordance with ECMA-109, June 2025
| Product name | NVIDIA DGX Spark 940-54242-0000 | |
| 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 |
a) The declared mean A-weighted sound power level, Lwa,m is computed as the arithmetic average of the measured A-weighted sound power levels.
b) The declared mean A-weighted emission sound pressure level, LpA,m is computed as the arithmetic average of the defined Operator position (C.4b)
c) The statistical adder for verification, KV is a factor to be added to the declared mean A-weighted sound power level, LWA,m, such that there will be a 95 % probability of acceptance, when using the verification procedures of ECMA-109, if no more than 6,5 % of the equipment in batch, has A-weighted sound power levels greater than (LWA,m + Kv).
d) Operating mode, max GPU stress in 25°C ambient.
Note 1 The quantity, LWA,c (formerly called LWAd) can be computed from the sum of LWA,m and KV.
Note 2 All measurements made in conformance with ECMA-74 and declared with ECMA-109
Note 3 dB is the abbreviation for decibels
| Superchip | GB10 |
|---|---|
| Model | |
| Processor | 20 Core |
| Graphics | Blackwell Architecture |
| Memory | 128GB |
| Storage | 1TB |
| Warranty | 1-Year |
