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What is the Nvidia DGX-2 price?

In the ever-evolving landscape of artificial intelligence and high-performance computing, the NVIDIA DGX-2 stands as a benchmark of extraordinary capability. Designed to tackle the most demanding AI workloads—deep learning, scientific simulations, and data analytics—the DGX-2 delivers unmatched power with an architecture built for speed, scalability, and efficiency. But with great power comes a considerable investment, and that brings us to the question: What is the price of the NVIDIA DGX-2?

Understanding the Power Behind DGX-2

Before diving into the pricing, it’s essential to understand what makes the DGX-2 a league of its own. Powered by 16 NVIDIA Tesla V100 GPUs connected via NVSwitch, the DGX-2 delivers 2 petaflops of AI performance. With 512 GB GPU memory, dual 24-core Intel Xeon CPUs, and 1.5 TB system memory, this system is engineered to handle massive datasets and ultra-complex AI models at unprecedented speeds.

 

This system isn’t just hardware—it’s an integrated AI powerhouse with optimized software stacks, pre-installed deep learning frameworks, and system management tools that reduce time-to-insight dramatically. In other words, it’s not just about processing data, but accelerating breakthroughs.

DGX-2 Pricing Overview

The NVIDIA DGX-2 is positioned at the premium end of the AI hardware spectrum. As of the most recent market estimates, the price for a new NVIDIA DGX-2 system typically falls between $300,000 and $400,000 USD, depending on configuration, vendor, and regional availability. This price reflects not just the raw computational power of the machine, but also the enterprise-grade reliability, integrated AI software stack, and direct support from NVIDIA.

 

It’s important to note that while the DGX-2 is no longer the newest model in the DGX family (with DGX A100 being its successor), it remains a highly respected and widely deployed system, particularly in research institutions, large enterprises, and innovation-driven startups.

Key Factors Influencing DGX-2 Pricing

The final cost of acquiring a DGX-2 system can vary due to a number of key factors:

Geographical Location: Import duties, local taxes, and shipping costs can all contribute to regional price fluctuations.

Vendor and Reseller Services: Some vendors may bundle installation, training, and extended support contracts which may increase the overall investment.

Configuration and Add-Ons: Custom hardware configurations or additional storage solutions can alter the final quote.

Market Dynamics: Since the DGX-2 is a high-demand system with limited availability, prices may vary due to supply constraints.

Why Choose Cyfuture Cloud for DGX-Class Performance?

At Cyfuture Cloud, we believe in democratizing access to advanced computing resources—without the barriers of massive upfront investments. Instead of purchasing a physical DGX-2 system, businesses and developers can leverage cloud-based access to GPU-powered compute environments optimized for AI workloads.

 

Our infrastructure is powered by cutting-edge NVIDIA GPUs, engineered for AI training and inference, data science, machine learning, and high-throughput scientific computing. Whether you're training large language models or deploying intelligent analytics pipelines, Cyfuture Cloud offers the power of DGX-class infrastructure on-demand—scalable, secure, and fully managed.

 

What’s more, Cyfuture Cloud delivers industry-competitive pricing, flexible billing models (hourly, monthly, and reserved), and seamless scalability—ideal for startups, researchers, and enterprises alike.

Need Better Pricing? We’ve Got You Covered

Investing in AI hardware like the DGX-2 may not be viable for every organization—but that doesn’t mean you should compromise on performance. With Cyfuture Cloud, you gain access to enterprise-grade GPU infrastructure without the capital expense. From pre-configured AI environments to dedicated support, we help you accelerate innovation at a fraction of the cost.

 

Visit Cyfuture Cloud to explore GPU-powered cloud hosting services and request custom pricing tailored to your needs.

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