NVIDIA DGX Spark
The World's First At-Your-Desk AI Supercomputer
Your exclusive access to the DGX Spark starts here. As an official NVIDIA partner, we have a limited number of units available for pioneering innovators.
Limited Availability. Apply Now.
Thank you for the overwhelming interest! A limited number of slots are still available in our Early Adopter Program. Apply now to receive exclusive pricing and secure your DGX Spark before the program closes for good.
A Few Early Adopter Slots Remain
NVIDIA DGX Spark
The ultimate at-your-desk AI supercomputer for individual developers and researchers.
NVIDIA DGX Spark Bundle
Two DGX Spark units with a high-speed connecting cable for stacked performance.
Explore What's Possible
From generative AI to scientific computing, see what you can build with DGX Spark.
Compare Models
Find the right DGX Spark configuration for your needs.
DGX Spark
Ideal for individual developers and researchers.
- 1,000 AI TOPS
- 20-core NVIDIA Grace CPU
- 128GB LPDDR5x Memory
- Up to 4TB NVMe Storage
- Single Unit Configuration
DGX Spark Bundle
Maximum performance for teams and larger models.
- 2,000 AI TOPS
- 40-core NVIDIA Grace CPU (2x 20)
- 256GB LPDDR5x Memory
- Up to 8TB NVMe Storage
- Two Stacked Units w/ Cable
Unmatched Performance
Experience the power of the NVIDIA Blackwell architecture, delivering up to 1000 AI TOPS for accelerated training and inference.
Fully Integrated Stack
A seamless hardware and software experience with NVIDIA DGX™ OS, optimized for the most demanding AI/ML workloads.
Enterprise Grade
Compact, efficient, and powerful. The DGX Spark is designed for reliability and performance at your desk, not in a data center.
Why DGX Spark?
Transform Your Workflow
DGX Spark isn't just a powerful machine; it's a paradigm shift for AI development. Move from slow, remote clusters to a dedicated, at-your-desk supercomputer and accelerate your innovation cycle.
AI Model Development
Train, test, and iterate on complex models faster than ever before.
Data Science & Analytics
Analyze massive datasets and extract insights in minutes, not hours.
High-Performance Computing
Run complex simulations and scientific computations right at your desk.
Technical Specifications
Engineered for performance, efficiency, and reliability.
Core Compute
Architecture
NVIDIA Grace Blackwell
CPU
20-core NVIDIA Grace CPU
AI Performance
Up to 1,000 TOPS
System Memory
128GB LPDDR5x
Storage & I/O
Storage
Up to 4TB NVMe M.2
Networking
On-board 100GbE
Wireless
WiFi 7, Bluetooth 5.3
Display
1x HDMI 2.1a
OS
NVIDIA DGX™ OS
What Our Early Adopters Are Saying
Real stories from developers and researchers transforming their work with DGX Spark.
"The DGX Spark has fundamentally changed our prototyping workflow. What used to take days on a shared cluster, we now iterate on in hours, right at our desks. It's a game-changer for rapid experimentation."
Dr. Alistair Finch
Lead AI Researcher
"As a small team, we don't have the budget for a massive data center. The DGX Spark gives us the horsepower we need to develop competitive models without the overhead. The bundle is perfect for our core dev pair."
Sasha Petrova
ML Engineer, Tech Startup
"I'm blown away by the performance-per-watt.Running complex data analytics on my desktop with this much power is just incredible. The seamless software stack means I spend more time on insights, less on setup."
Kenji Tanaka
Data Scientist
"My NLP models are incredibly compute-intensive. Having a dedicated DGX Spark has accelerated my research timeline significantly. It's quiet, compact, and fits perfectly in my university lab space."
Maria Rodriguez
PhD Candidate, Computational Linguistics
"We develop computer vision algorithms, and the DGX Spark handles our large image datasets with ease. The ability to scale from this to the cloud using the same architecture is a massive advantage for us."
Ben Carter
Founder, Vision AI
"This machine is the real deal. It gives me the enterprise-grade power I need to serve my clients without having to rent expensive cloud instances for every single project. It has paid for itself already."
Chloe Dubois
Freelance AI Consultant
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