Average price$29,193.30Price range$109.00 – $312,673.39
Median price
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$10,350.005 relevés$10,669.00
25 products analyzed by our AI
•Prices updated on 10/16/2026
Ranking established by our AI from spec sheets, retailer prices and verified reviews (methodology). Comparr may earn a commission through merchant links, with no impact on the ranking.
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AI-optimized search: "Nvidia DGX Station"
Les meilleurs NVIDIA DGX Spark en 2026 sont le NVIDIA DGX Spark NVIDIA GB10 Grace Blackwell Superchip (meilleur choix, ~12 095.99 $), l'AVADirect PNY NVIDIA DGX Spark (meilleur rapport qualité/prix, ~6 149.16 $) et le CORSAIR NVIDIA DGX SPARK (petit budget, ~5 199.99 $). Ces systems sont conçus pour l'intelligence artificielle et le deep learning, allant des stations de travail personnelles aux serveurs de haute performance. Les critères clés de choix incluent la puissance GPU, la capacité de la RAM et le stockage, ainsi que la connectivité réseau pour les configurations multi-unités. Que vous soyez un chercheur, un développeur ou une entreprise, il existe une configuration DGX Spark adaptée à vos besoins spécifiques en calcul d'IA.
According to our AI analysis, the best Nvidia dgx spark in 2026 are the NVIDIA DGX Spark NVIDIA GB10 Grace Blackwell Superchip (the top pick, $6,009.99), the AVADirect PNY NVIDIA DGX Spark (the best value for money, $6,269.00) and the CORSAIR NVIDIA DGX SPARK (the best budget option, $5,199.99).
Every price in this comparison on a single ruler — hover to see each product.
19 products priced from $5,199.99 to $324,667.00, median price $11,869.00. Prices split into 2 ranges: 14 products up to $21,600.00 and 5 from $123,398.00.
Featuring the NVIDIA GB10 Grace Blackwell Superchip, this NVIDIA DGX Spark represents the pinnacle of current AI computing power, ideal for demanding research and development.
The NVIDIA DGX Spark Bundle offers two units with 4TB storage each, connected by a 200G QSFP56 Ethernet DAC cable, providing superior scalability and performance for complex AI projects.
The AVADirect PNY NVIDIA DGX Spark, with its top rating and robust configuration, delivers an exceptional experience for high-performance AI applications.
With 4TB NVMe and 128GB DDR5X RAM, this Founders Edition offers substantial specifications for its price, making it an excellent value proposition for serious AI enthusiasts.
The NVIDIA DGX Spark with the NVIDIA GB10 Grace Blackwell Superchip offers cutting-edge technology for its price, providing great forward-looking value for advanced AI workloads.
The CORSAIR NVIDIA DGX SPARK offers a very competitive entry point for a dedicated AI development system, providing core functionalities at a significantly lower price.
The NVIDIA DGX Spark Founders Edition provides 4TB NVMe storage and 128GB DDR5X RAM, making it a strong budget option for personal AI computing without compromising on key specs.
This NVIDIA DGX Spark Founders Edition is a solid choice for those seeking a balance between cost and performance for personal AI computing, backed by a 4.3 rating.
This 'NVIDIA DGX Spark Founders Edition' offers excellent value with robust specifications (4TB NVMe, 128GB DDR5X) for deep learning and GPU computing, making it highly relevant to the search.
The 'NVIDIA DGX Spark Bundle' provides two units with connection cables, offering a scalable and comprehensive solution for users looking to expand their AI computing capabilities, at a competitive price for a dual-unit setup.
When buying an NVIDIA DGX Spark, prioritize GPU type (e.g., Blackwell, V100) and GPU memory for AI workloads, as this is the core of its processing power. Consider RAM (128GB DDR5X is good for Spark models) and NVMe storage capacity (e.g., 4TB) for data handling. Budget-friendly options like the CORSAIR NVIDIA DGX SPARK are great for individual developers, while the NVIDIA DGX Spark NVIDIA GB10 Grace Blackwell Superchip offers top-tier performance for research. For scalable solutions, look into bundles like the NVIDIA DGX Spark Bundle 2 DGX Spark-Einheiten. Evaluate your specific AI project needs to choose the right balance of performance and cost.
Frequently asked questions — Nvidia dgx spark
What is the primary difference between a DGX Station and a DGX Spark?
A DGX Station, like the NVIDIA DGX Station V100, is typically a more powerful, larger workstation with multiple high-end GPUs designed for data centers or large teams. A DGX Spark, such as the NVIDIA DGX Spark Founders Edition (~$5,299.00), is positioned as a personal AI computer, offering a more compact form factor and optimized for individual or smaller team deep learning tasks.
Which DGX Spark is best for a developer on a budget?
For a developer on a budget, the CORSAIR NVIDIA DGX SPARK at $5,199.99 or the NVIDIA DGX Spark Founders Edition at $5,299.00 are excellent choices. They provide essential AI computing capabilities without the premium price of higher-end models, offering a strong entry point into NVIDIA's DGX ecosystem.
What kind of storage and RAM should I look for in a DGX Spark?
Look for ample NVMe storage for fast data access, such as the 4TB NVMe found in the NVIDIA DGX Spark Founders Edition. For RAM, 128GB DDR5X, also present in the Founders Edition, is highly recommended to handle complex AI models and large datasets efficiently, ensuring smooth operation during training and inference.
Can I connect multiple DGX Spark units together?
Yes, some DGX Spark configurations are designed for scalability. For example, the NVIDIA DGX Spark Bundle 2 DGX Spark-Einheiten includes two DGX Spark units with a 0.5m 200G QSFP56 Ethernet DAC-Kabel for high-speed interconnection. This allows users to combine the processing power of multiple units for larger or more complex AI projects.
What are the benefits of the NVIDIA GB10 Grace Blackwell Superchip in a DGX Spark?
The NVIDIA GB10 Grace Blackwell Superchip, featured in the NVIDIA DGX Spark NVIDIA GB10 Grace Blackwell Superchip (~$12,095.99), represents the latest generation of NVIDIA's AI architecture. It delivers significant performance improvements in AI training and inference, offering unparalleled computational power for the most demanding deep learning and large language model applications.
Are there any external GPU solutions that are compatible with DGX Spark?
While the DGX Spark is a self-contained AI computer, some products like the Minisforum deg1 GPU Oculink Docking Station or external GPU docks are generally for adding external GPUs to standard PCs. These are not typically needed or recommended for expanding a DGX Spark's capabilities, as DGX systems are designed with integrated, optimized GPU configurations.