Urudata has joined Nvidia’s partner ecosystem in Uruguay, giving the local IT firm access to the chipmaker’s compute, networking and software stack as demand rises for hybrid and sovereign AI deployments across Latin America.
Nvidia adds Urudata to Uruguay partner ecosystem
The deal matters because it strengthens a regional go-to-market channel for Nvidia at a time when enterprises are looking for ways to run AI workloads closer to home, particularly in regulated industries such as healthcare, where data residency, latency and security requirements can outweigh the convenience of fully public cloud setups. Nvidia has been leaning more heavily on partners and AI cloud providers to widen access to its data center products, and Urudata fits that model with its own lab, engineering team and prior work running AI projects in Uruguay.
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Urudata said it has implemented about 30 AI projects over the past three years using its own resources, building an AI Lab equipped with Hewlett Packard Enterprise and Nvidia technology. The company said it needed to demonstrate capabilities, certifications and production experience to qualify for the partnership, underscoring how Nvidia is using selective ecosystems to scale its enterprise reach without building every deployment itself.
For investors, the agreement is another sign that Nvidia’s business is broadening beyond hyperscale cloud buyers into regional integrators that can package AI for enterprises with mixed infrastructure needs. That is important even as Nvidia shares have pulled back sharply from recent highs; the stock closed at $187.12 on Friday, below its 50-day moving average of $219.78, while Adalytica’s Nvidia Earnings Sentiment gauge showed “Extreme Fear.”
Urudata said it sees the biggest opportunity in “hybrid” architectures that combine public cloud with on-premises infrastructure, especially where AI spending is rising fast. The company said some software-development use cases can be up to 20 times more efficient on local infrastructure, a pitch that may resonate as enterprises try to control token costs and preserve performance.
The partnership also reinforces the broader regional competition among cloud and infrastructure vendors for AI budgets, with local partners becoming the key sales force for sovereign AI projects. For Nvidia, the near-term catalyst is whether these relationships translate into more enterprise workloads and higher adoption of its data center stack outside the biggest U.S. and Asian cloud operators.
| Entity | Gains | Losses |
|---|---|---|
| Urudata | ▲Access to Nvidia ecosystem | ▼Higher competitive pressure |
| Nvidia | ▲Wider enterprise reach | ▼More reliance on partners |
| Local enterprises | ▲Hybrid AI options | ▼Less pure-cloud simplicity |
| Public cloud rivals | ▲— | ▼Share of AI workloads |
