Nvidia is launching two new cloud computing initiatives that could put it in competition with its partners, but the company is simultaneously helping cloud computing partners sell AI services and make the most of scarce and costly graphics processing units.
Article contents:
- Introduction
- Nvidia DGX Cloud Lipton service
- Industrial AI Cloud
- Market implications and competition
- Customer and partner benefits
- Conclusion
Introduction
In a controversial development within the artificial intelligence industry, Nvidia recently announced two new cloud computing initiatives. First, the company announced the DGX Cloud Lipton service, designed to connect AI developers with Nvidia’s vast network of cloud service providers. Second, Nvidia announced a new cloud service, the Industrial AI Cloud, dedicated to providing artificial intelligence services to manufacturing companies in Europe.
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Nvidia DGX Cloud Lipton service
Nvidia launched the new DGX Cloud Lipton service at this year’s Computex, and it has already secured a healthy cohort of cloud service providers that have agreed to join the service. While Oracle and Google have not publicly signed up for Lipton yet, Amazon Web Services and Microsoft Azure have, seeing the benefits of having their clouds made available and promoted by Nvidia.
Smaller cloud players also joined the party, including CoreWeave, Crusoe, Firmus, Foxconn, GMI Cloud, Lambda, Utah Data Services, Nebius, Nscale, Firebird, Fluidstack, Hydra Host, Scaleway, Together AI, Mistral AI, and SoftBank Corp. These providers offer on-demand and long-term GPU access, supporting a wide range of AI development and deployment needs.
Other cloud service providers will not want to miss the train and are likely to join soon. This expansion demonstrates Nvidia’s power in unifying the industry around its technology platform.
Industrial AI Cloud
At GTC Paris, Nvidia CEO Jensen Huang announced that Nvidia and Deutsche Telekom were building an artificial intelligence cloud for European manufacturing companies. The Industrial AI Cloud will provide access to state-of-the-art AI infrastructure and Nvidia’s rich software suite. Support will be available for computer-aided design, computer-aided engineering, Omniverse, robotics, and autonomous vehicles.
Nvidia’s Industrial Cloud for Europe represents a major step in building an independent, AI-powered infrastructure for the continent’s industrial sector. By providing secure, high-performance computing resources and a robust AI software ecosystem, the initiative aims to drive European manufacturing into the next era of digital innovation.
The Industrial Cloud will be powered by 10,000 Nvidia GPUs, including the latest DGX GB200 systems and RTX Pro servers, making it one of the largest industrial AI deployments in Germany.
Market implications and competition
First, this indicates that Nvidia is not afraid to compete with its cloud partners in its pursuit of providing state-of-the-art AI infrastructure access to its end users. As we have observed, larger cloud service providers have chosen to develop competing AI accelerators, so they should not be surprised.
Second, Lipton does not actually compete with cloud service providers; rather, it provides aggregated access to their massive arrays of Nvidia GPUs, rather than a cloud owned and operated by Nvidia. Meanwhile, the Industrial Cloud fills a gap left by cloud service providers to deliver focused, independent resources to the European manufacturing base.
Customer and partner benefits
Customers will love this, as will independent software vendors whose software is optimized to run on Nvidia GPUs. This approach provides customers with greater flexibility to access advanced computing resources without having to commit to a single service provider.
Regarding the Industrial Cloud, the focus on digital sovereignty and compliance with European regulations meets vital needs for European companies concerned with data protection and technological independence. This ensures that sensitive data remains under local control.
The absence of NVL72 racks tells us that Nvidia expects customers to fine-tune and run AI inference services, rather than build new foundation models. This shows a realistic understanding of industrial market needs.
Conclusion
Nvidia’s cloud computing strategy demonstrates a balanced approach between competition and cooperation. While the company may appear to be competing with its partners, it is actually helping expand the market and deliver additional value to customers. This model could become an example for other technology industries where balancing competition and partnership is crucial for sustainable growth.
