
The chipmaker is tying its financial support to long-lived infrastructure and the residual value of the hardware that will run on it.
Nvidia is providing up to $105 billion in residual-value guarantees for a chipmaker's planned data center campus in Ohio, meaning Nvidia will cover shortfalls if the facility's leftover value falls below guaranteed minimums if certain default events occur. This arrangement goes beyond Nvidia's typical role of supplying processors, instead treating the hardware as an asset class with lasting value after initial deployment, similar to how vehicle financing works. The guarantee supports an initial 4.25 GW of IT capacity with potential expansion to 8 GW, with SB Energy building and operating the campus under a 20-year lease. This structure allows Nvidia to create financing capacity for AI infrastructure buildout by recognizing that processors retain value beyond their first three years of use.
NVIDIA announced a new 64GB configuration of DGX Spark — from Acer, ASUS, Dell, Gigabyte, HP and MSI — its GB10-powered desktop AI system. It gives developers a way to start with one system for local models and agents, then cluster two 64GB units for 128GB of memory across the cluster and more compute when workloads grow. The direct message is: Run open models and always-on agents on your own desk, then cluster DGX Spark system as the work grows – instead of on a metered API. The ti

On Friday, Amazon committed to donating more than $1 billion over the next five years to communities neighboring data centers. In a press release, Amazon Web Services’ CEO Matt Garman said that communities would decide how to prioritize funds across “education, job training, energy affordability, water, and energy preservation, and local priorities.” Laying out other community commitments, Amazon also promised to ensure data centers wouldn’t increase power bills or wipe out local water supplies.

AI success hinges on infrastructure. Use this five-part framework to evaluate power, cooling, security, cost strategy, and scalability.
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